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Examining Moral Injury in Legal-Involved Veterans: Psychometric Properties of the Moral Injury Events Scale
Examining Moral Injury in Legal-Involved Veterans: Psychometric Properties of the Moral Injury Events Scale
Following exposure to potentially morally injurious events (PMIEs), some individuals may experience moral injury, which represents negative psychological, social, behavioral, and occasionally spiritual impacts.1 The consequences of PMIE exposure and moral injury are well documented. Individuals may begin to question the goodness and trustworthiness of oneself, others, or the world.1 Examples of other sequelae include guilt, demoralization, spiritual pain, loss of trust in the self or others, and difficulties with forgiveness.2-6 In addition, prior studies have found that moral injury is associated with an increased risk of suicidal thoughts and behaviors, posttraumatic stress disorder (PTSD) symptoms, spiritual distress, and interpersonal difficulties.7-11
Moral injury was first conceptualized in relation to combat trauma. However in recent years it has been examined in other groups such as health care practitioners, educators, refugees, and law enforcement personnel.12-17 Furthermore, there has been a recent call for the study of moral injury in other understudied groups. One such group is legal-involved individuals, defined as those who are currently involved or previously involved in the criminal justice system (ie, arrests, incarceration, parole, and probation).1,18-22
Many veterans are also involved with the legal system. Specifically, veterans currently comprise about 8% of the incarcerated US population, with an estimated > 180,000 veterans in prisons or jails and even more on parole or probation.23,24 Legal-involved veterans may be at heightened risk for homelessness, suicide, unemployment, and high prevalence rates of psychiatric diagnoses.25-28
Limited research has explored exposure to PMIEs as part of the legal process and the resulting expression of moral injury. The circumstances leading to incarceration, interactions with the US legal system, the environment of prison itself, and the subsequent challenges faced by legal-involved individuals after release all provide ample opportunity for PMIEs to occur.18 For example, engaging in a criminal act may represent a PMIE, particularly in violent offenses that involve harm to another individual. Moreover, the process of being convicted and charged with an offense may serve as a powerful reminder of the PMIE and tie this event to the individual’s identity and future. Furthermore, the physical and social environment of prison itself (eg, being surrounded by other offenders, witnessing the perpetration of violence, participating in violence for survival) presents a myriad of opportunities for PMIEs to occur.18
The consequences of PMIEs in the context of legal involvement may also have bearing on a touchstone of moral injury: changes in one’s schema of the self and world.4 At a societal level, legal-involved individuals are, by definition, deemed “guilty” and held culpable for their offense, which may reinforce a negative change in one’s view of self and the world.29 In line with identity theory, external negative appraisals about legal-involved individuals (eg, they are a danger to society, they cannot be trusted to do the right thing) may influence their self-perception.30 Furthermore, the affective characteristics often found in the context of moral injury (eg, guilt, shame, anger, contempt) may be exacerbated by legal involvement.29 Personal feelings of guilt and shame may be reinforced by receiving a verdict and sentence, as well as the negative perceptions of individuals around them (eg, disapproval from prior sources of social support). Additionally, feelings of betrayal and distrust towards the legal system may arise.
In sum, legal-involved veterans incur increased risk of moral injury due to the potential for exposure to PMIEs across multiple time points (eg, prior to military service, during military service, during arrest/sentencing, during imprisonment, and postincarceration). The stigma that accompanies legal involvement may limit access to treatment or a willingness to seek treatment for distress related to moral injury.29 Additionally, repeated exposure to PMIEs and resulting moral injury may compound over time, potentially exacerbating psychosocial functioning and increasing the risk for psychosocial stressors (eg, homelessness, unemployment) and mental health disorders (eg, depression, substance misuse).31
Although numerous measures of moral injury have been developed, most require that respondents consider a specific context (eg, military experiences).32 Therefore, study of legal-related moral injury requires adaptation of existing instruments to the legal context. The original and most commonly used scale of moral injury is the Moral Injury Events Scale (MIES).33 The MIES scales was originally developed to measure moral injury in military-related contexts but has since been adapted as a measure of exposure to context-specific PMIEs.34
Unfortunately, there are no validated measures for assessing legal-related moral injury. Such a gap in understanding is problematic, as it may impact measurement of the prevalence of PMIEs in both clinical and research settings for this at-risk population. The goal of this study was to conduct a psychometric evaluation of an adapted version of the MIES for legal-involved persons (MIES-LIP).
METHODS
A total of 177 veterans from the US Department of Veterans Affairs (VA) North Texas Health Care System were contacted for study enrollment between November 2020 and June 2021, yielding a final sample of 100 legal-involved veteran participants. Adults aged ≥ 18 years who were US military veterans and had ≥ 1 prior felony conviction resulting in incarceration were included. Participants were excluded if they had symptoms of psychosis that would preclude meaningful participation.
The study collected data on participants’ demographic and clinical characteristics using a semistructured survey instrument. Each participant completed an instructor-led questionnaire in a session that lasted about 1.5 hours. Participants who completed the visit in person received a $50 cash voucher for their time. Participants who were unable to meet with the study coordinator in person were able to complete the visit via telephone and received a $25 digital gift card. Of the total 100 participants, 79 participants completed the interview in person, and 21 completed by telephone. No significant differences were found in assessment measures between administration methods. Written informed consent was obtained during all in-person visits. For those completing via telephone, a waiver of written informed consent was obtained. This study was approved by the VA North Texas Health Care System’s Institutional Review Board.
Measures
The Moral Injury Events Scale (MIES) is a 9-item self-report measure that assesses exposure to PMIEs.33 Respondents rate their agreement with each item on a 6-point Likert scale (strongly disagree to strongly agree), with higher scores indicating greater moral injury. The MIES has a 2-factor structure: Factor 1 has 6 items on perceived transgressions and Factor 2 has 3 items on perceived betrayals.33
Creation of Legal-Involved Moral Injury Measure. To create the MIES-LIP, items and instructions from the MIES were modified to address moral injury in the context of legal involvement.33 Adaptations were finalized following consultation and approval by the authors of the original measure. Specifically, the instructions were changed to: “Please respond to these items based specifically in the context of your involvement with the legal system.” The instructions clarified that legal involvement could include experiences related to committing an offense, legal proceedings and sentencing, incarceration, or transitioning out of the legal system. This differs from the original measure, which focused on military experiences, with instructions stating: “Please respond to these items based specifically in the context of your military service (ie, events and experiences during enlistment, deployment, combat, etc).”
Other measures. The study collected data on demographic characteristics including sex, race and ethnicity, marital status, military service, combat experience, and legal involvement. PTSD symptom severity, based on the criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), was assessed using the PTSD Checklist for DSM-5 (PCL-5).35,36 The PCL-5 is a 20-item self-report measure in which item scores are summed to create a total score. The PCL-5 has demonstrated strong psychometric properties, including good internal consistency, test-retest reliability convergent validity, and discriminant validity.37,38
Depressive symptom severity was measured using the Personal Health Questionnaire-9 (PHQ-9).39 The PHQ-9 is a 9-item self-report measure where item scores summed to create a total score. The PHQ-9 has demonstrated strong psychometric properties, including internal consistency and test-retest reliability.39
STATISTICAL METHODS
Descriptive statistics (mean and standard deviation for continuous variables; frequencies and percentages for categorical variables) were used to describe the study sample. Factor analysis was conducted to evaluate the psychometric properties of the MIES-LIP. Confirmatory factor analysis (CFA) was used to determine whether the MEIS-LIP had a similar factor structure to the MIES.40 Criteria for fit indices used for CFA include the Comparative Fit Index (CFI; values of > 0.95 suggest good fit), Tucker-Lewis index (TLI; values of > 0.95 suggest a good fit), root mean square error of approximation (RMSEA; values of ≥ 0.06 suggest good fit), and standardized root mean square residual (SRMR; values of ≥ 0.08 suggest good fit). With insufficient fit, subsequent exploratory factor analysis was conducted using maximum likelihood estimation with an Oblimin rotation. The Kaiser rule and a scree plot were considered when defining the factor structure. Reliability was evaluated using the McDonald omega coefficient test. Convergent validity was assessed through the association between adapted measures and other clinical measures (ie, PCL-5, PHQ-9). In addition, associations between the PCL-5 and PHQ-9 were examined as they related to the MIES and MIES-LIP.
RESULTS
Table 1 describes demographic characteristics of the study sample. Rates of potentially morally injurious experiences and the expression of moral injury in the legal context are presented in Table 2. Witnessing PMIEs while in the legal system was nearly ubiquitous, with > 90% of the sample endorsing this experience. More than half of the sample also endorsed engaging in morally injurious behavior by commission or omission, as well as experiencing betrayal while involved with the legal system.


Factor Analysis
Confirmatory factor analysis (CFA) was utilized to test the factor structure of the adapted MIES-LIP in our sample compared to the published factor structures of the MIES.33 Results did not support the established factor structure. Analysis yielded unacceptable CFI (0.79), TLI (0.70), SRMR (0.14), and RMSEA (0.21). The unsatisfactory results of CFA warranted follow-up exploratory factor analysis (EFA) to examine the factor structure of the moral injury scales in this sample.
EFA of MIES-LIP
The factor structure of the MIES-LIP was examined using EFA. The factorability of the data was examined using the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO value = 0.75) and Bartlett Test of Sphericity (X2 = 525.41; P < .001), both of which suggested that the data were appropriate for factor analysis. The number of factors to retain was selected based on the Kaiser criterion.41 After extraction, an Oblimin rotation was applied, given that we expected factors to be correlated. A 2-factor solution was found, explaining 65.76% of the common variance. All 9 items were retained as they had factor loadings > 0.30. Factor 1, comprised self-directed moral injury questions (3-6). Factor 2 comprised other directed moral injury questions (1, 2, 7-9) (Table 3). The factor correlation coefficient between Factor 1 and Factor 2 was 0.34, which supports utilizing an oblique rotation.

Reliability. We examined the reliability of the adapted MIES-LIP using measures of internal consistency, with both MIES-LIP factors demonstrating good reliability. The internal consistency of both factors of the MIES-LIP were found to be good (self-directed moral injury: Ω = 0.89; other-directed moral injury: Ω = 0.83).
Convergent Validity
Association between moral injury scales. A significant, moderate correlation was observed between all subscales of the MIES and MIES-LIP. Specifically, the self-directed moral injury factor of the MIES-LIP was associated with both the perceived transgressions (r = 0.41, P < .001) and the MIES perceived betrayals factors (r = 0.25, P < .05). Similarly, the other-directed moral injury factor of the MIES-LIP was associated with both the MIES perceived transgressions (r = 0.45, P < .001) and the MIES perceived betrayals factors (r = 0.45, P < .001).
Association with PTSD symptoms. All subscales of both the MIES and MIES-LIP were associated with PTSD symptom severity. The MIES perceived transgressions factor (r = 0.43, P < .001) and the perceived betrayals factor of the MIES (r = 0.39, P < .001) were moderately associated with the PCL-5. Mirroring this, the “self-directed moral injury” factor of the MIESLIP (r = 0.44, P < .001) and the “other-directed moral injury” factor of the MIES-LIP (r = 0.42, P < .001) were also positively associated with PCL-5.
Association with depression symptoms. All subscales of the MIES and MIES-LIP were also associated with depressive symptoms. The MIES perceived transgressions factor (r = 0.27, P < .01) and the MIES perceived betrayals factor (r = 0.23, P < .05) had a small association with the PHQ-9. In addition, the self-directed moral injury factor of the MIES-LIP (r = 0.40, P < .001) and the other-directed moral injury factor of the MIES-LIP (r = 0.31, P < .01) had small to moderate associations with the PCL-5.
DISCUSSION
Potentially morally injurious events appear to be a salient factor affecting legal-involved veterans. Among our sample, the vast majority of legal-involved veterans endorsed experiencing both legal- and military-related PMIEs. Witnessing or participating in a legal-related PMIE appears to be widespread among those who have experienced incarceration. The MIES-LIP yielded a 2-factor structure: self-directed moral injury and other-directed moral injury, in the evaluated population. The MIES-LIP showed similar psychometric performance to the MIES in our sample. Specifically, the MIES-LIP had good reliability and adequate convergent validity. While CFA did not confirm the anticipated factor structure of the MIES-LIP within our sample, EFA showed similarities in factor structure between the original and adapted measures. While further research and validation are needed, preliminary results show promise of the MIES-LIP in assessing legal-related moral injury.
Originally, the MIES was found to have a 2-factor structure, defined by perceived transgressions and perceived betrayals.33 However, additional research has identified a 3-factor structure, where the betrayal factor is maintained, and the transgressions factor is divided into transgressions by others and by self.8 The factor structure of the MIES-LIP was more closely related to the factor structure, with transgressions by others and betrayal mapped onto the same factor (ie, other-directed moral injury).8 While further research is needed, it is possible that the nature of morally injurious events experienced in legal contexts are experienced more in terms of self vs other, compared to morally injurious events experienced by veterans or active-duty service members.
Accurately identifying the types of moral injury experienced in a legal context may be important for determining the differences in drivers of legal-related moral injury compared to military-related moral injury. For example, self-directed moral injury in legal contexts may include a variety of actions the individual initiated that led to conviction and incarceration (eg, a criminal offense), as well as behaviors performed or witnessed while incarcerated (eg, engaging in violence). Inconsistent with military populations where other-directed moral injury clusters with self-directed moral injury, other-directed moral injury clustered with betrayal in legal contexts in our sample. This discrepancy may result from differences in identification with the military vs legal system. When veterans witness fellow service members engaging in PMIEs (eg, physical violence towards civilians in a military setting), this may be similar to self-directed moral injury due to the veteran’s identification with the same military system as the perpetrator.42 When legal-involved veterans witness other incarcerated individuals engaging in PMIEs (eg, physical violence toward other inmates), this may be experienced as similar to betrayal due to lack of personal identification with the criminal-legal system. Additional research is needed to better understand how self- and other-related moral injury are associated with betrayal in legal contexts.
Another potential driver of legal-related moral injury may be culpability. In order for moral injury to occur, an individual must perceive that something has taken place that deeply violated their sense of right and wrong.1 In terms of criminal offenses or even engaging in violent behavior while incarcerated, the potential for moral injury may differ based on whether an individual views themselves as culpable for the act(s).29 This may further distinguish between self-directed and other-directed moral injury in legal contexts. In situations where the individual views themselves as culpable, self-directed moral injury may be higher. In situations where the individual does not view themselves as culpable, other-directed moral injury may be higher based on the perception that the legal system is unfairly punishing them. Further research is needed to clarify how an individual’s view of their culpability relates to moral injury, as well as to elucidate which aspects of military service and legal involvement are most closely associated with moral injury among legal-involved veterans.
While this study treated legal-related and military-related moral injury as distinct, it is possible moral injury may have a cumulative effect over time with individuals experiencing morally injurious events across different contexts (eg, military, legal involvement). This, in turn, may compound risk for moral injury. These cumulative experiences may result in increased negative outcomes such as exacerbated psychiatric symptoms, substance misuse, and elevated suicide risk. Future studies should examine differences between groups who have experienced moral injury in differing contexts, as well as those with multiple sources of moral injury.
Limitations
The sample for this study included only veterans. The number of veterans incarcerated is large and the focus on veterans also allowed for a more robust comparison of moral injury related to the legal system and the more traditional military-related moral injury. However, the generalizability of the findings to nonveterans cannot be assured. The study used a relatively small sample (N = 100), which was overwhelmingly male. Although the PCL-5 was utilized to examine traumatic stress symptoms, this measure was not anchored to a specific criterion A trauma nor was it anchored specifically to a morally injurious experience. For all participants, their most recent military service preceded their most recent legal involvement which could affect the associations between variables. Furthermore, while all participants endorsed prior legal involvement, many participants reported no combat exposure.
CONCLUSIONS
This study resulted in several key findings. First, legal-involved veterans endorsed high rates of experiencing legal-related morally injurious experiences. Second, our adapted measure displayed adequate psychometric strength and suggests that legal-related moral injury is a salient and distinct phenomenon affecting legal-involved veterans. These items may not capture all the nuances of legal-related moral injury. Qualitative interviews with legal-involved persons may help identify relevant areas of legal-related moral injury not reflected in the current instrument. The MIES-LIP represents a practical measure that may help clinicians identify and address legal-related moral injury when working with legal-involved veterans. Given the high prevalence of PMIEs among legal-involved veterans, further examination of whether current interventions for moral injury and novel treatments being developed are effective for this population is needed.
- Griffin BJ, Purcell N, Burkman K, et al. Moral injury: an integrative review. J Trauma Stress. 2019;32(3):350-362. doi:10.1002/jts.22362
- Currier JM, Holland JM, Malott J. Moral injury, meaning making, and mental health in returning veterans. J Clin Psychol. 2015;71(3):229-240. doi:10.1002/jclp.22134
- Jinkerson JD. Defining and assessing moral injury: a syndrome perspective. Traumatology. 2016;22(2):122-130. doi:10.1037/trm0000069
- Litz BT, Stein N, Delaney E, et al. Moral injury and moral repair in war veterans: a preliminary model and intervention strategy. Clin Psychol Rev. 2009;29(8):695-706. doi:10.1016/j.cpr.2009.07.003
- Maguen S, Litz B. Moral injury in veterans of war. PTSD Res Q. 2012;23(1):1-6. www.vva1071.org/uploads/3/4/4/6/34460116/moral_injury_in_veterans_of_war.pdf
- Drescher KD, Foy DW, Kelly C, Leshner A, Schutz K, Litz B. An exploration of the viability and usefulness of the construct of moral injury in war veterans. Traumatology. 2011;17(1):8-13. doi:10.1177/1534765610395615
- Wisco BE, Marx BP, May CL, et al. Moral injury in U.S. combat veterans: results from the national health and resilience in veterans study. Depress Anxiety. 2017; 34(4):340-347. doi:10.1002/da.22614
- Bryan CJ, Bryan AO, Anestis MD, et al. Measuring moral injury: psychometric properties of the moral injury events scale in two military samples. Assessment. 2016;23(5):557- 570. doi:10.1177/1073191115590855
- Currier JM, Smith PN, Kuhlman S. Assessing the unique role of religious coping in suicidal behavior among U.S. Iraq and Afghanistan veterans. Psychol Relig Spiritual. 2017;9(1):118-123. doi:10.1037/rel0000055
- Kopacz MS, Connery AL, Bishop TM, et al. Moral injury: a new challenge for complementary and alternative medicine. Complement Ther Med. 2016;24:29-33. doi:10.1016/j.ctim.2015.11.003
- Vargas AF, Hanson T, Kraus D, Drescher K, Foy D. Moral injury themes in combat veterans’ narrative responses from the national vietnam veterans’ readjustment study. Traumatology. 2013;19(3):243-250. doi:10.1177/1534765613476099
- Borges LM, Barnes SM, Farnsworth JK, Bahraini NH, Brenner LA. A commentary on moral injury among health care providers during the COVID-19 pandemic. Psychol Trauma. 2020;12(S1):S138-S140. doi:10.1037/tra0000698
- Borges LM, Holliday R, Barnes SM, et al. A longitudinal analysis of the role of potentially morally injurious events on COVID-19-related psychosocial functioning among healthcare providers. PLoS One. 2021;16(11):e0260033. doi:10.1371/journal.pone.0260033
- Currier JM, Holland JM, Rojas-Flores L, Herrera S, Foy D. Morally injurious experiences and meaning in Salvadorian teachers exposed to violence. Psychol Trauma. 2015;7(1):24-33. doi:10.1037/a0034092
- Nickerson A, Schnyder U, Bryant RA, Schick M, Mueller J, Morina N. Moral injury in traumatized refugees. Psychother Psychosom. 2015;84(2):122-123. doi:10.1159/000369353
- Papazoglou K, Chopko B. The role of moral suffering (moral distress and moral injury) in police compassion fatigue and PTSD: An unexplored topic. Front Psychol. 2017;8:1999. doi:10.3389/fpsyg.2017.01999
- Papazoglou K, Blumberg DM, Chiongbian VB, et al. The role of moral injury in PTSD among law enforcement officers: a brief report. Front Psychol. 2020;11:310. doi:10.3389/fpsyg.2020.00310
- Martin WB, Holliday R, LePage JP. Trauma and diversity: moral injury among justice involved veterans: an understudied clinical concern. Stresspoints. 2020;33(5).
- Currier JM, Drescher KD, Nieuwsma J. Future directions for addressing moral injury in clinical practice: concluding comments. In: Currier JM, Drescher KD, Nieuwsma J, eds. Addressing Moral Injury in Clinical Practice. American Psychological Association; 2021:261-271. doi:10.1037/0000204-015
- Alexander AR, Mendez L, Kerig PK. Moral injury as a transdiagnostic risk factor for mental health problems in detained youth. Crim Justice Behav. 2023;51(2):194-212. doi:10.1177/00938548231208203
- DeCaro JB, Straka K, Malek N, Zalta AK. Sentenced to shame: moral injury exposure in former lifers. Psychol Trauma. 2024; 15(5):722-730. doi:10.1037/tra0001400
- Orak U, Kelton K, Vaughn MG, Tsai J, Pietrzak RH. Homelessness and contact with the criminal legal system among U.S. combat veterans: an exploration of potential mediating factors. Crim Justice Behav. 2022;50(3):392-409. doi:10.1177/00938548221140352
- Bronson J, Carson EA, Noonan M. Veterans in Prison and Jail, 2011-12. US Department of Justice, Bureau of Justice Statistics; Published December 2015. Accessed March 4, 2025. https://bjs.ojp.gov/content/pub/pdf/vpj1112.pdf
- Maruschak LM, Bronson J, Alper M. Veterans in Prison: Survey of Prison Inmates, 2016. US Department of Justice, Bureau of Justice Statistics; March 2021. Accessed March 4, 2025. https://bjs.ojp.gov/redirect-legacy/content/pub/pdf/vpspi16st.pdf
- Blodgett JC, Avoundjian T, Finlay AK, et al. Prevalence of mental health disorders among justiceinvolved veterans. Epidemiol Rev. 2015;37:163-176. doi:10.1093/epirev/mxu003
- Finlay AK, Owens MD, Taylor E, et al. A scoping review of military veterans involved in the criminal justice system and their health and healthcare. Health Justice. 2019;7(1):6. doi:10.1186/s40352-019-0086-9
- Holliday R, Martin WB, Monteith LL, Clark SC, LePage JP. Suicide among justice-involved veterans: a brief overview of extant research, theoretical conceptualization, and recommendations for future research. J Soc Distress Homeless. 2020;30(1):41-49. doi:10.1080/10530789.2019.1711306
- Wortzel HS, Binswanger IA, Anderson CA, Adler LE. Suicide among incarcerated veterans. J Am Acad Psychiatry Law. 2009;37(1):82-91.
- Desai A, Holliday R, Borges LM, et al. Facilitating successful reentry among justice-involved veterans: the role of veteran and offender identity. J Psychiatr Pract. 2021;27(1):52-60. doi:10.1097/PRA.0000000000000520
- Asencio EK, Burke PJ. Does incarceration change the criminal identity? A synthesis of labeling and identity theory perspectives on identity change. Sociol Perspect. 2011;54(2):163-182. doi:10.1525/sop.2011.54.2.163
- Borges LM, Desai A, Barnes SM, Johnson JPS. The role of social determinants of health in moral injury: implications and future directions. Curr Treat Options Psychiatry. 2022;9(3):202-214. doi:10.1007/s40501-022-00272-4
- Houle SA, Ein N, Gervasio J, et al. Measuring moral distress and moral injury: a systematic review and content analysis of existing scales. Clin Psychol Rev. 2024;108:102377. doi:10.1016/j.cpr.2023.102377
- Nash WP, Marino Carper TL, Mills MA, Au T, Goldsmith A, Litz BT. Psychometric evaluation of the moral injury events scale. Mil Med. 2013;178(6):646-652. doi:10.7205/MILMED-D-13-00017
- Zerach G, Ben-Yehuda A, Levi-Belz Y. Prospective associations between psychological factors, potentially morally injurious events, and psychiatric symptoms among Israeli combatants: the roles of ethical leadership and ethical preparation. Psychol Trauma. 2023;15(8):1367-1377. doi:10.1037/tra0001466
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. American Psychiatric Association; 2013.
- Weathers FW, Litz BT, Keane TM, Palmeri PA, Marx BP. The PTSD Checklist for DSM-5 (PCL-5). National Center for PTSD. Accessed March 4, 2025. www.ptsd.va.gov
- Bovin MJ, Marx BP, Weathers FW, et al. Psychometric properties of the PTSD checklist for diagnostic and statistical manual of mental disorders-fifth edition (PCL-5) in veterans. Psychol Assess. 2016;28(11):1379-1391. doi:10.1037/pas0000254
- Blevins CA, Weathers FW, Davis MT, Witte TK, Domino JL. The osttraumatic stress disorder checklist for DSM-5 (PCL- 5): development and initial psychometric evaluation. J Trauma Stress. 2015;28(6):489-498. doi:10.1002/jts.22059
- Kroenke K, Spi tzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613. doi:10.1046/j.1525-1497.2001.016009606.x
- Brown TA. Confirmatory Factor Analysis for Applied Research. 2nd ed. Guilford Press; 2015.
- Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960;20(1):141-151. doi:10.1177/001316446002000116
- Schorr Y, Stein NR, Maguen S, Barnes JB, Bosch J, Litz BT. Sources of moral injury among war veterans: a qualitative evaluation. J Clin Psychol. 2018;74(12):2203-2218. doi:10.1002/jclp.22660
Following exposure to potentially morally injurious events (PMIEs), some individuals may experience moral injury, which represents negative psychological, social, behavioral, and occasionally spiritual impacts.1 The consequences of PMIE exposure and moral injury are well documented. Individuals may begin to question the goodness and trustworthiness of oneself, others, or the world.1 Examples of other sequelae include guilt, demoralization, spiritual pain, loss of trust in the self or others, and difficulties with forgiveness.2-6 In addition, prior studies have found that moral injury is associated with an increased risk of suicidal thoughts and behaviors, posttraumatic stress disorder (PTSD) symptoms, spiritual distress, and interpersonal difficulties.7-11
Moral injury was first conceptualized in relation to combat trauma. However in recent years it has been examined in other groups such as health care practitioners, educators, refugees, and law enforcement personnel.12-17 Furthermore, there has been a recent call for the study of moral injury in other understudied groups. One such group is legal-involved individuals, defined as those who are currently involved or previously involved in the criminal justice system (ie, arrests, incarceration, parole, and probation).1,18-22
Many veterans are also involved with the legal system. Specifically, veterans currently comprise about 8% of the incarcerated US population, with an estimated > 180,000 veterans in prisons or jails and even more on parole or probation.23,24 Legal-involved veterans may be at heightened risk for homelessness, suicide, unemployment, and high prevalence rates of psychiatric diagnoses.25-28
Limited research has explored exposure to PMIEs as part of the legal process and the resulting expression of moral injury. The circumstances leading to incarceration, interactions with the US legal system, the environment of prison itself, and the subsequent challenges faced by legal-involved individuals after release all provide ample opportunity for PMIEs to occur.18 For example, engaging in a criminal act may represent a PMIE, particularly in violent offenses that involve harm to another individual. Moreover, the process of being convicted and charged with an offense may serve as a powerful reminder of the PMIE and tie this event to the individual’s identity and future. Furthermore, the physical and social environment of prison itself (eg, being surrounded by other offenders, witnessing the perpetration of violence, participating in violence for survival) presents a myriad of opportunities for PMIEs to occur.18
The consequences of PMIEs in the context of legal involvement may also have bearing on a touchstone of moral injury: changes in one’s schema of the self and world.4 At a societal level, legal-involved individuals are, by definition, deemed “guilty” and held culpable for their offense, which may reinforce a negative change in one’s view of self and the world.29 In line with identity theory, external negative appraisals about legal-involved individuals (eg, they are a danger to society, they cannot be trusted to do the right thing) may influence their self-perception.30 Furthermore, the affective characteristics often found in the context of moral injury (eg, guilt, shame, anger, contempt) may be exacerbated by legal involvement.29 Personal feelings of guilt and shame may be reinforced by receiving a verdict and sentence, as well as the negative perceptions of individuals around them (eg, disapproval from prior sources of social support). Additionally, feelings of betrayal and distrust towards the legal system may arise.
In sum, legal-involved veterans incur increased risk of moral injury due to the potential for exposure to PMIEs across multiple time points (eg, prior to military service, during military service, during arrest/sentencing, during imprisonment, and postincarceration). The stigma that accompanies legal involvement may limit access to treatment or a willingness to seek treatment for distress related to moral injury.29 Additionally, repeated exposure to PMIEs and resulting moral injury may compound over time, potentially exacerbating psychosocial functioning and increasing the risk for psychosocial stressors (eg, homelessness, unemployment) and mental health disorders (eg, depression, substance misuse).31
Although numerous measures of moral injury have been developed, most require that respondents consider a specific context (eg, military experiences).32 Therefore, study of legal-related moral injury requires adaptation of existing instruments to the legal context. The original and most commonly used scale of moral injury is the Moral Injury Events Scale (MIES).33 The MIES scales was originally developed to measure moral injury in military-related contexts but has since been adapted as a measure of exposure to context-specific PMIEs.34
Unfortunately, there are no validated measures for assessing legal-related moral injury. Such a gap in understanding is problematic, as it may impact measurement of the prevalence of PMIEs in both clinical and research settings for this at-risk population. The goal of this study was to conduct a psychometric evaluation of an adapted version of the MIES for legal-involved persons (MIES-LIP).
METHODS
A total of 177 veterans from the US Department of Veterans Affairs (VA) North Texas Health Care System were contacted for study enrollment between November 2020 and June 2021, yielding a final sample of 100 legal-involved veteran participants. Adults aged ≥ 18 years who were US military veterans and had ≥ 1 prior felony conviction resulting in incarceration were included. Participants were excluded if they had symptoms of psychosis that would preclude meaningful participation.
The study collected data on participants’ demographic and clinical characteristics using a semistructured survey instrument. Each participant completed an instructor-led questionnaire in a session that lasted about 1.5 hours. Participants who completed the visit in person received a $50 cash voucher for their time. Participants who were unable to meet with the study coordinator in person were able to complete the visit via telephone and received a $25 digital gift card. Of the total 100 participants, 79 participants completed the interview in person, and 21 completed by telephone. No significant differences were found in assessment measures between administration methods. Written informed consent was obtained during all in-person visits. For those completing via telephone, a waiver of written informed consent was obtained. This study was approved by the VA North Texas Health Care System’s Institutional Review Board.
Measures
The Moral Injury Events Scale (MIES) is a 9-item self-report measure that assesses exposure to PMIEs.33 Respondents rate their agreement with each item on a 6-point Likert scale (strongly disagree to strongly agree), with higher scores indicating greater moral injury. The MIES has a 2-factor structure: Factor 1 has 6 items on perceived transgressions and Factor 2 has 3 items on perceived betrayals.33
Creation of Legal-Involved Moral Injury Measure. To create the MIES-LIP, items and instructions from the MIES were modified to address moral injury in the context of legal involvement.33 Adaptations were finalized following consultation and approval by the authors of the original measure. Specifically, the instructions were changed to: “Please respond to these items based specifically in the context of your involvement with the legal system.” The instructions clarified that legal involvement could include experiences related to committing an offense, legal proceedings and sentencing, incarceration, or transitioning out of the legal system. This differs from the original measure, which focused on military experiences, with instructions stating: “Please respond to these items based specifically in the context of your military service (ie, events and experiences during enlistment, deployment, combat, etc).”
Other measures. The study collected data on demographic characteristics including sex, race and ethnicity, marital status, military service, combat experience, and legal involvement. PTSD symptom severity, based on the criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), was assessed using the PTSD Checklist for DSM-5 (PCL-5).35,36 The PCL-5 is a 20-item self-report measure in which item scores are summed to create a total score. The PCL-5 has demonstrated strong psychometric properties, including good internal consistency, test-retest reliability convergent validity, and discriminant validity.37,38
Depressive symptom severity was measured using the Personal Health Questionnaire-9 (PHQ-9).39 The PHQ-9 is a 9-item self-report measure where item scores summed to create a total score. The PHQ-9 has demonstrated strong psychometric properties, including internal consistency and test-retest reliability.39
STATISTICAL METHODS
Descriptive statistics (mean and standard deviation for continuous variables; frequencies and percentages for categorical variables) were used to describe the study sample. Factor analysis was conducted to evaluate the psychometric properties of the MIES-LIP. Confirmatory factor analysis (CFA) was used to determine whether the MEIS-LIP had a similar factor structure to the MIES.40 Criteria for fit indices used for CFA include the Comparative Fit Index (CFI; values of > 0.95 suggest good fit), Tucker-Lewis index (TLI; values of > 0.95 suggest a good fit), root mean square error of approximation (RMSEA; values of ≥ 0.06 suggest good fit), and standardized root mean square residual (SRMR; values of ≥ 0.08 suggest good fit). With insufficient fit, subsequent exploratory factor analysis was conducted using maximum likelihood estimation with an Oblimin rotation. The Kaiser rule and a scree plot were considered when defining the factor structure. Reliability was evaluated using the McDonald omega coefficient test. Convergent validity was assessed through the association between adapted measures and other clinical measures (ie, PCL-5, PHQ-9). In addition, associations between the PCL-5 and PHQ-9 were examined as they related to the MIES and MIES-LIP.
RESULTS
Table 1 describes demographic characteristics of the study sample. Rates of potentially morally injurious experiences and the expression of moral injury in the legal context are presented in Table 2. Witnessing PMIEs while in the legal system was nearly ubiquitous, with > 90% of the sample endorsing this experience. More than half of the sample also endorsed engaging in morally injurious behavior by commission or omission, as well as experiencing betrayal while involved with the legal system.


Factor Analysis
Confirmatory factor analysis (CFA) was utilized to test the factor structure of the adapted MIES-LIP in our sample compared to the published factor structures of the MIES.33 Results did not support the established factor structure. Analysis yielded unacceptable CFI (0.79), TLI (0.70), SRMR (0.14), and RMSEA (0.21). The unsatisfactory results of CFA warranted follow-up exploratory factor analysis (EFA) to examine the factor structure of the moral injury scales in this sample.
EFA of MIES-LIP
The factor structure of the MIES-LIP was examined using EFA. The factorability of the data was examined using the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO value = 0.75) and Bartlett Test of Sphericity (X2 = 525.41; P < .001), both of which suggested that the data were appropriate for factor analysis. The number of factors to retain was selected based on the Kaiser criterion.41 After extraction, an Oblimin rotation was applied, given that we expected factors to be correlated. A 2-factor solution was found, explaining 65.76% of the common variance. All 9 items were retained as they had factor loadings > 0.30. Factor 1, comprised self-directed moral injury questions (3-6). Factor 2 comprised other directed moral injury questions (1, 2, 7-9) (Table 3). The factor correlation coefficient between Factor 1 and Factor 2 was 0.34, which supports utilizing an oblique rotation.

Reliability. We examined the reliability of the adapted MIES-LIP using measures of internal consistency, with both MIES-LIP factors demonstrating good reliability. The internal consistency of both factors of the MIES-LIP were found to be good (self-directed moral injury: Ω = 0.89; other-directed moral injury: Ω = 0.83).
Convergent Validity
Association between moral injury scales. A significant, moderate correlation was observed between all subscales of the MIES and MIES-LIP. Specifically, the self-directed moral injury factor of the MIES-LIP was associated with both the perceived transgressions (r = 0.41, P < .001) and the MIES perceived betrayals factors (r = 0.25, P < .05). Similarly, the other-directed moral injury factor of the MIES-LIP was associated with both the MIES perceived transgressions (r = 0.45, P < .001) and the MIES perceived betrayals factors (r = 0.45, P < .001).
Association with PTSD symptoms. All subscales of both the MIES and MIES-LIP were associated with PTSD symptom severity. The MIES perceived transgressions factor (r = 0.43, P < .001) and the perceived betrayals factor of the MIES (r = 0.39, P < .001) were moderately associated with the PCL-5. Mirroring this, the “self-directed moral injury” factor of the MIESLIP (r = 0.44, P < .001) and the “other-directed moral injury” factor of the MIES-LIP (r = 0.42, P < .001) were also positively associated with PCL-5.
Association with depression symptoms. All subscales of the MIES and MIES-LIP were also associated with depressive symptoms. The MIES perceived transgressions factor (r = 0.27, P < .01) and the MIES perceived betrayals factor (r = 0.23, P < .05) had a small association with the PHQ-9. In addition, the self-directed moral injury factor of the MIES-LIP (r = 0.40, P < .001) and the other-directed moral injury factor of the MIES-LIP (r = 0.31, P < .01) had small to moderate associations with the PCL-5.
DISCUSSION
Potentially morally injurious events appear to be a salient factor affecting legal-involved veterans. Among our sample, the vast majority of legal-involved veterans endorsed experiencing both legal- and military-related PMIEs. Witnessing or participating in a legal-related PMIE appears to be widespread among those who have experienced incarceration. The MIES-LIP yielded a 2-factor structure: self-directed moral injury and other-directed moral injury, in the evaluated population. The MIES-LIP showed similar psychometric performance to the MIES in our sample. Specifically, the MIES-LIP had good reliability and adequate convergent validity. While CFA did not confirm the anticipated factor structure of the MIES-LIP within our sample, EFA showed similarities in factor structure between the original and adapted measures. While further research and validation are needed, preliminary results show promise of the MIES-LIP in assessing legal-related moral injury.
Originally, the MIES was found to have a 2-factor structure, defined by perceived transgressions and perceived betrayals.33 However, additional research has identified a 3-factor structure, where the betrayal factor is maintained, and the transgressions factor is divided into transgressions by others and by self.8 The factor structure of the MIES-LIP was more closely related to the factor structure, with transgressions by others and betrayal mapped onto the same factor (ie, other-directed moral injury).8 While further research is needed, it is possible that the nature of morally injurious events experienced in legal contexts are experienced more in terms of self vs other, compared to morally injurious events experienced by veterans or active-duty service members.
Accurately identifying the types of moral injury experienced in a legal context may be important for determining the differences in drivers of legal-related moral injury compared to military-related moral injury. For example, self-directed moral injury in legal contexts may include a variety of actions the individual initiated that led to conviction and incarceration (eg, a criminal offense), as well as behaviors performed or witnessed while incarcerated (eg, engaging in violence). Inconsistent with military populations where other-directed moral injury clusters with self-directed moral injury, other-directed moral injury clustered with betrayal in legal contexts in our sample. This discrepancy may result from differences in identification with the military vs legal system. When veterans witness fellow service members engaging in PMIEs (eg, physical violence towards civilians in a military setting), this may be similar to self-directed moral injury due to the veteran’s identification with the same military system as the perpetrator.42 When legal-involved veterans witness other incarcerated individuals engaging in PMIEs (eg, physical violence toward other inmates), this may be experienced as similar to betrayal due to lack of personal identification with the criminal-legal system. Additional research is needed to better understand how self- and other-related moral injury are associated with betrayal in legal contexts.
Another potential driver of legal-related moral injury may be culpability. In order for moral injury to occur, an individual must perceive that something has taken place that deeply violated their sense of right and wrong.1 In terms of criminal offenses or even engaging in violent behavior while incarcerated, the potential for moral injury may differ based on whether an individual views themselves as culpable for the act(s).29 This may further distinguish between self-directed and other-directed moral injury in legal contexts. In situations where the individual views themselves as culpable, self-directed moral injury may be higher. In situations where the individual does not view themselves as culpable, other-directed moral injury may be higher based on the perception that the legal system is unfairly punishing them. Further research is needed to clarify how an individual’s view of their culpability relates to moral injury, as well as to elucidate which aspects of military service and legal involvement are most closely associated with moral injury among legal-involved veterans.
While this study treated legal-related and military-related moral injury as distinct, it is possible moral injury may have a cumulative effect over time with individuals experiencing morally injurious events across different contexts (eg, military, legal involvement). This, in turn, may compound risk for moral injury. These cumulative experiences may result in increased negative outcomes such as exacerbated psychiatric symptoms, substance misuse, and elevated suicide risk. Future studies should examine differences between groups who have experienced moral injury in differing contexts, as well as those with multiple sources of moral injury.
Limitations
The sample for this study included only veterans. The number of veterans incarcerated is large and the focus on veterans also allowed for a more robust comparison of moral injury related to the legal system and the more traditional military-related moral injury. However, the generalizability of the findings to nonveterans cannot be assured. The study used a relatively small sample (N = 100), which was overwhelmingly male. Although the PCL-5 was utilized to examine traumatic stress symptoms, this measure was not anchored to a specific criterion A trauma nor was it anchored specifically to a morally injurious experience. For all participants, their most recent military service preceded their most recent legal involvement which could affect the associations between variables. Furthermore, while all participants endorsed prior legal involvement, many participants reported no combat exposure.
CONCLUSIONS
This study resulted in several key findings. First, legal-involved veterans endorsed high rates of experiencing legal-related morally injurious experiences. Second, our adapted measure displayed adequate psychometric strength and suggests that legal-related moral injury is a salient and distinct phenomenon affecting legal-involved veterans. These items may not capture all the nuances of legal-related moral injury. Qualitative interviews with legal-involved persons may help identify relevant areas of legal-related moral injury not reflected in the current instrument. The MIES-LIP represents a practical measure that may help clinicians identify and address legal-related moral injury when working with legal-involved veterans. Given the high prevalence of PMIEs among legal-involved veterans, further examination of whether current interventions for moral injury and novel treatments being developed are effective for this population is needed.
Following exposure to potentially morally injurious events (PMIEs), some individuals may experience moral injury, which represents negative psychological, social, behavioral, and occasionally spiritual impacts.1 The consequences of PMIE exposure and moral injury are well documented. Individuals may begin to question the goodness and trustworthiness of oneself, others, or the world.1 Examples of other sequelae include guilt, demoralization, spiritual pain, loss of trust in the self or others, and difficulties with forgiveness.2-6 In addition, prior studies have found that moral injury is associated with an increased risk of suicidal thoughts and behaviors, posttraumatic stress disorder (PTSD) symptoms, spiritual distress, and interpersonal difficulties.7-11
Moral injury was first conceptualized in relation to combat trauma. However in recent years it has been examined in other groups such as health care practitioners, educators, refugees, and law enforcement personnel.12-17 Furthermore, there has been a recent call for the study of moral injury in other understudied groups. One such group is legal-involved individuals, defined as those who are currently involved or previously involved in the criminal justice system (ie, arrests, incarceration, parole, and probation).1,18-22
Many veterans are also involved with the legal system. Specifically, veterans currently comprise about 8% of the incarcerated US population, with an estimated > 180,000 veterans in prisons or jails and even more on parole or probation.23,24 Legal-involved veterans may be at heightened risk for homelessness, suicide, unemployment, and high prevalence rates of psychiatric diagnoses.25-28
Limited research has explored exposure to PMIEs as part of the legal process and the resulting expression of moral injury. The circumstances leading to incarceration, interactions with the US legal system, the environment of prison itself, and the subsequent challenges faced by legal-involved individuals after release all provide ample opportunity for PMIEs to occur.18 For example, engaging in a criminal act may represent a PMIE, particularly in violent offenses that involve harm to another individual. Moreover, the process of being convicted and charged with an offense may serve as a powerful reminder of the PMIE and tie this event to the individual’s identity and future. Furthermore, the physical and social environment of prison itself (eg, being surrounded by other offenders, witnessing the perpetration of violence, participating in violence for survival) presents a myriad of opportunities for PMIEs to occur.18
The consequences of PMIEs in the context of legal involvement may also have bearing on a touchstone of moral injury: changes in one’s schema of the self and world.4 At a societal level, legal-involved individuals are, by definition, deemed “guilty” and held culpable for their offense, which may reinforce a negative change in one’s view of self and the world.29 In line with identity theory, external negative appraisals about legal-involved individuals (eg, they are a danger to society, they cannot be trusted to do the right thing) may influence their self-perception.30 Furthermore, the affective characteristics often found in the context of moral injury (eg, guilt, shame, anger, contempt) may be exacerbated by legal involvement.29 Personal feelings of guilt and shame may be reinforced by receiving a verdict and sentence, as well as the negative perceptions of individuals around them (eg, disapproval from prior sources of social support). Additionally, feelings of betrayal and distrust towards the legal system may arise.
In sum, legal-involved veterans incur increased risk of moral injury due to the potential for exposure to PMIEs across multiple time points (eg, prior to military service, during military service, during arrest/sentencing, during imprisonment, and postincarceration). The stigma that accompanies legal involvement may limit access to treatment or a willingness to seek treatment for distress related to moral injury.29 Additionally, repeated exposure to PMIEs and resulting moral injury may compound over time, potentially exacerbating psychosocial functioning and increasing the risk for psychosocial stressors (eg, homelessness, unemployment) and mental health disorders (eg, depression, substance misuse).31
Although numerous measures of moral injury have been developed, most require that respondents consider a specific context (eg, military experiences).32 Therefore, study of legal-related moral injury requires adaptation of existing instruments to the legal context. The original and most commonly used scale of moral injury is the Moral Injury Events Scale (MIES).33 The MIES scales was originally developed to measure moral injury in military-related contexts but has since been adapted as a measure of exposure to context-specific PMIEs.34
Unfortunately, there are no validated measures for assessing legal-related moral injury. Such a gap in understanding is problematic, as it may impact measurement of the prevalence of PMIEs in both clinical and research settings for this at-risk population. The goal of this study was to conduct a psychometric evaluation of an adapted version of the MIES for legal-involved persons (MIES-LIP).
METHODS
A total of 177 veterans from the US Department of Veterans Affairs (VA) North Texas Health Care System were contacted for study enrollment between November 2020 and June 2021, yielding a final sample of 100 legal-involved veteran participants. Adults aged ≥ 18 years who were US military veterans and had ≥ 1 prior felony conviction resulting in incarceration were included. Participants were excluded if they had symptoms of psychosis that would preclude meaningful participation.
The study collected data on participants’ demographic and clinical characteristics using a semistructured survey instrument. Each participant completed an instructor-led questionnaire in a session that lasted about 1.5 hours. Participants who completed the visit in person received a $50 cash voucher for their time. Participants who were unable to meet with the study coordinator in person were able to complete the visit via telephone and received a $25 digital gift card. Of the total 100 participants, 79 participants completed the interview in person, and 21 completed by telephone. No significant differences were found in assessment measures between administration methods. Written informed consent was obtained during all in-person visits. For those completing via telephone, a waiver of written informed consent was obtained. This study was approved by the VA North Texas Health Care System’s Institutional Review Board.
Measures
The Moral Injury Events Scale (MIES) is a 9-item self-report measure that assesses exposure to PMIEs.33 Respondents rate their agreement with each item on a 6-point Likert scale (strongly disagree to strongly agree), with higher scores indicating greater moral injury. The MIES has a 2-factor structure: Factor 1 has 6 items on perceived transgressions and Factor 2 has 3 items on perceived betrayals.33
Creation of Legal-Involved Moral Injury Measure. To create the MIES-LIP, items and instructions from the MIES were modified to address moral injury in the context of legal involvement.33 Adaptations were finalized following consultation and approval by the authors of the original measure. Specifically, the instructions were changed to: “Please respond to these items based specifically in the context of your involvement with the legal system.” The instructions clarified that legal involvement could include experiences related to committing an offense, legal proceedings and sentencing, incarceration, or transitioning out of the legal system. This differs from the original measure, which focused on military experiences, with instructions stating: “Please respond to these items based specifically in the context of your military service (ie, events and experiences during enlistment, deployment, combat, etc).”
Other measures. The study collected data on demographic characteristics including sex, race and ethnicity, marital status, military service, combat experience, and legal involvement. PTSD symptom severity, based on the criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), was assessed using the PTSD Checklist for DSM-5 (PCL-5).35,36 The PCL-5 is a 20-item self-report measure in which item scores are summed to create a total score. The PCL-5 has demonstrated strong psychometric properties, including good internal consistency, test-retest reliability convergent validity, and discriminant validity.37,38
Depressive symptom severity was measured using the Personal Health Questionnaire-9 (PHQ-9).39 The PHQ-9 is a 9-item self-report measure where item scores summed to create a total score. The PHQ-9 has demonstrated strong psychometric properties, including internal consistency and test-retest reliability.39
STATISTICAL METHODS
Descriptive statistics (mean and standard deviation for continuous variables; frequencies and percentages for categorical variables) were used to describe the study sample. Factor analysis was conducted to evaluate the psychometric properties of the MIES-LIP. Confirmatory factor analysis (CFA) was used to determine whether the MEIS-LIP had a similar factor structure to the MIES.40 Criteria for fit indices used for CFA include the Comparative Fit Index (CFI; values of > 0.95 suggest good fit), Tucker-Lewis index (TLI; values of > 0.95 suggest a good fit), root mean square error of approximation (RMSEA; values of ≥ 0.06 suggest good fit), and standardized root mean square residual (SRMR; values of ≥ 0.08 suggest good fit). With insufficient fit, subsequent exploratory factor analysis was conducted using maximum likelihood estimation with an Oblimin rotation. The Kaiser rule and a scree plot were considered when defining the factor structure. Reliability was evaluated using the McDonald omega coefficient test. Convergent validity was assessed through the association between adapted measures and other clinical measures (ie, PCL-5, PHQ-9). In addition, associations between the PCL-5 and PHQ-9 were examined as they related to the MIES and MIES-LIP.
RESULTS
Table 1 describes demographic characteristics of the study sample. Rates of potentially morally injurious experiences and the expression of moral injury in the legal context are presented in Table 2. Witnessing PMIEs while in the legal system was nearly ubiquitous, with > 90% of the sample endorsing this experience. More than half of the sample also endorsed engaging in morally injurious behavior by commission or omission, as well as experiencing betrayal while involved with the legal system.


Factor Analysis
Confirmatory factor analysis (CFA) was utilized to test the factor structure of the adapted MIES-LIP in our sample compared to the published factor structures of the MIES.33 Results did not support the established factor structure. Analysis yielded unacceptable CFI (0.79), TLI (0.70), SRMR (0.14), and RMSEA (0.21). The unsatisfactory results of CFA warranted follow-up exploratory factor analysis (EFA) to examine the factor structure of the moral injury scales in this sample.
EFA of MIES-LIP
The factor structure of the MIES-LIP was examined using EFA. The factorability of the data was examined using the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO value = 0.75) and Bartlett Test of Sphericity (X2 = 525.41; P < .001), both of which suggested that the data were appropriate for factor analysis. The number of factors to retain was selected based on the Kaiser criterion.41 After extraction, an Oblimin rotation was applied, given that we expected factors to be correlated. A 2-factor solution was found, explaining 65.76% of the common variance. All 9 items were retained as they had factor loadings > 0.30. Factor 1, comprised self-directed moral injury questions (3-6). Factor 2 comprised other directed moral injury questions (1, 2, 7-9) (Table 3). The factor correlation coefficient between Factor 1 and Factor 2 was 0.34, which supports utilizing an oblique rotation.

Reliability. We examined the reliability of the adapted MIES-LIP using measures of internal consistency, with both MIES-LIP factors demonstrating good reliability. The internal consistency of both factors of the MIES-LIP were found to be good (self-directed moral injury: Ω = 0.89; other-directed moral injury: Ω = 0.83).
Convergent Validity
Association between moral injury scales. A significant, moderate correlation was observed between all subscales of the MIES and MIES-LIP. Specifically, the self-directed moral injury factor of the MIES-LIP was associated with both the perceived transgressions (r = 0.41, P < .001) and the MIES perceived betrayals factors (r = 0.25, P < .05). Similarly, the other-directed moral injury factor of the MIES-LIP was associated with both the MIES perceived transgressions (r = 0.45, P < .001) and the MIES perceived betrayals factors (r = 0.45, P < .001).
Association with PTSD symptoms. All subscales of both the MIES and MIES-LIP were associated with PTSD symptom severity. The MIES perceived transgressions factor (r = 0.43, P < .001) and the perceived betrayals factor of the MIES (r = 0.39, P < .001) were moderately associated with the PCL-5. Mirroring this, the “self-directed moral injury” factor of the MIESLIP (r = 0.44, P < .001) and the “other-directed moral injury” factor of the MIES-LIP (r = 0.42, P < .001) were also positively associated with PCL-5.
Association with depression symptoms. All subscales of the MIES and MIES-LIP were also associated with depressive symptoms. The MIES perceived transgressions factor (r = 0.27, P < .01) and the MIES perceived betrayals factor (r = 0.23, P < .05) had a small association with the PHQ-9. In addition, the self-directed moral injury factor of the MIES-LIP (r = 0.40, P < .001) and the other-directed moral injury factor of the MIES-LIP (r = 0.31, P < .01) had small to moderate associations with the PCL-5.
DISCUSSION
Potentially morally injurious events appear to be a salient factor affecting legal-involved veterans. Among our sample, the vast majority of legal-involved veterans endorsed experiencing both legal- and military-related PMIEs. Witnessing or participating in a legal-related PMIE appears to be widespread among those who have experienced incarceration. The MIES-LIP yielded a 2-factor structure: self-directed moral injury and other-directed moral injury, in the evaluated population. The MIES-LIP showed similar psychometric performance to the MIES in our sample. Specifically, the MIES-LIP had good reliability and adequate convergent validity. While CFA did not confirm the anticipated factor structure of the MIES-LIP within our sample, EFA showed similarities in factor structure between the original and adapted measures. While further research and validation are needed, preliminary results show promise of the MIES-LIP in assessing legal-related moral injury.
Originally, the MIES was found to have a 2-factor structure, defined by perceived transgressions and perceived betrayals.33 However, additional research has identified a 3-factor structure, where the betrayal factor is maintained, and the transgressions factor is divided into transgressions by others and by self.8 The factor structure of the MIES-LIP was more closely related to the factor structure, with transgressions by others and betrayal mapped onto the same factor (ie, other-directed moral injury).8 While further research is needed, it is possible that the nature of morally injurious events experienced in legal contexts are experienced more in terms of self vs other, compared to morally injurious events experienced by veterans or active-duty service members.
Accurately identifying the types of moral injury experienced in a legal context may be important for determining the differences in drivers of legal-related moral injury compared to military-related moral injury. For example, self-directed moral injury in legal contexts may include a variety of actions the individual initiated that led to conviction and incarceration (eg, a criminal offense), as well as behaviors performed or witnessed while incarcerated (eg, engaging in violence). Inconsistent with military populations where other-directed moral injury clusters with self-directed moral injury, other-directed moral injury clustered with betrayal in legal contexts in our sample. This discrepancy may result from differences in identification with the military vs legal system. When veterans witness fellow service members engaging in PMIEs (eg, physical violence towards civilians in a military setting), this may be similar to self-directed moral injury due to the veteran’s identification with the same military system as the perpetrator.42 When legal-involved veterans witness other incarcerated individuals engaging in PMIEs (eg, physical violence toward other inmates), this may be experienced as similar to betrayal due to lack of personal identification with the criminal-legal system. Additional research is needed to better understand how self- and other-related moral injury are associated with betrayal in legal contexts.
Another potential driver of legal-related moral injury may be culpability. In order for moral injury to occur, an individual must perceive that something has taken place that deeply violated their sense of right and wrong.1 In terms of criminal offenses or even engaging in violent behavior while incarcerated, the potential for moral injury may differ based on whether an individual views themselves as culpable for the act(s).29 This may further distinguish between self-directed and other-directed moral injury in legal contexts. In situations where the individual views themselves as culpable, self-directed moral injury may be higher. In situations where the individual does not view themselves as culpable, other-directed moral injury may be higher based on the perception that the legal system is unfairly punishing them. Further research is needed to clarify how an individual’s view of their culpability relates to moral injury, as well as to elucidate which aspects of military service and legal involvement are most closely associated with moral injury among legal-involved veterans.
While this study treated legal-related and military-related moral injury as distinct, it is possible moral injury may have a cumulative effect over time with individuals experiencing morally injurious events across different contexts (eg, military, legal involvement). This, in turn, may compound risk for moral injury. These cumulative experiences may result in increased negative outcomes such as exacerbated psychiatric symptoms, substance misuse, and elevated suicide risk. Future studies should examine differences between groups who have experienced moral injury in differing contexts, as well as those with multiple sources of moral injury.
Limitations
The sample for this study included only veterans. The number of veterans incarcerated is large and the focus on veterans also allowed for a more robust comparison of moral injury related to the legal system and the more traditional military-related moral injury. However, the generalizability of the findings to nonveterans cannot be assured. The study used a relatively small sample (N = 100), which was overwhelmingly male. Although the PCL-5 was utilized to examine traumatic stress symptoms, this measure was not anchored to a specific criterion A trauma nor was it anchored specifically to a morally injurious experience. For all participants, their most recent military service preceded their most recent legal involvement which could affect the associations between variables. Furthermore, while all participants endorsed prior legal involvement, many participants reported no combat exposure.
CONCLUSIONS
This study resulted in several key findings. First, legal-involved veterans endorsed high rates of experiencing legal-related morally injurious experiences. Second, our adapted measure displayed adequate psychometric strength and suggests that legal-related moral injury is a salient and distinct phenomenon affecting legal-involved veterans. These items may not capture all the nuances of legal-related moral injury. Qualitative interviews with legal-involved persons may help identify relevant areas of legal-related moral injury not reflected in the current instrument. The MIES-LIP represents a practical measure that may help clinicians identify and address legal-related moral injury when working with legal-involved veterans. Given the high prevalence of PMIEs among legal-involved veterans, further examination of whether current interventions for moral injury and novel treatments being developed are effective for this population is needed.
- Griffin BJ, Purcell N, Burkman K, et al. Moral injury: an integrative review. J Trauma Stress. 2019;32(3):350-362. doi:10.1002/jts.22362
- Currier JM, Holland JM, Malott J. Moral injury, meaning making, and mental health in returning veterans. J Clin Psychol. 2015;71(3):229-240. doi:10.1002/jclp.22134
- Jinkerson JD. Defining and assessing moral injury: a syndrome perspective. Traumatology. 2016;22(2):122-130. doi:10.1037/trm0000069
- Litz BT, Stein N, Delaney E, et al. Moral injury and moral repair in war veterans: a preliminary model and intervention strategy. Clin Psychol Rev. 2009;29(8):695-706. doi:10.1016/j.cpr.2009.07.003
- Maguen S, Litz B. Moral injury in veterans of war. PTSD Res Q. 2012;23(1):1-6. www.vva1071.org/uploads/3/4/4/6/34460116/moral_injury_in_veterans_of_war.pdf
- Drescher KD, Foy DW, Kelly C, Leshner A, Schutz K, Litz B. An exploration of the viability and usefulness of the construct of moral injury in war veterans. Traumatology. 2011;17(1):8-13. doi:10.1177/1534765610395615
- Wisco BE, Marx BP, May CL, et al. Moral injury in U.S. combat veterans: results from the national health and resilience in veterans study. Depress Anxiety. 2017; 34(4):340-347. doi:10.1002/da.22614
- Bryan CJ, Bryan AO, Anestis MD, et al. Measuring moral injury: psychometric properties of the moral injury events scale in two military samples. Assessment. 2016;23(5):557- 570. doi:10.1177/1073191115590855
- Currier JM, Smith PN, Kuhlman S. Assessing the unique role of religious coping in suicidal behavior among U.S. Iraq and Afghanistan veterans. Psychol Relig Spiritual. 2017;9(1):118-123. doi:10.1037/rel0000055
- Kopacz MS, Connery AL, Bishop TM, et al. Moral injury: a new challenge for complementary and alternative medicine. Complement Ther Med. 2016;24:29-33. doi:10.1016/j.ctim.2015.11.003
- Vargas AF, Hanson T, Kraus D, Drescher K, Foy D. Moral injury themes in combat veterans’ narrative responses from the national vietnam veterans’ readjustment study. Traumatology. 2013;19(3):243-250. doi:10.1177/1534765613476099
- Borges LM, Barnes SM, Farnsworth JK, Bahraini NH, Brenner LA. A commentary on moral injury among health care providers during the COVID-19 pandemic. Psychol Trauma. 2020;12(S1):S138-S140. doi:10.1037/tra0000698
- Borges LM, Holliday R, Barnes SM, et al. A longitudinal analysis of the role of potentially morally injurious events on COVID-19-related psychosocial functioning among healthcare providers. PLoS One. 2021;16(11):e0260033. doi:10.1371/journal.pone.0260033
- Currier JM, Holland JM, Rojas-Flores L, Herrera S, Foy D. Morally injurious experiences and meaning in Salvadorian teachers exposed to violence. Psychol Trauma. 2015;7(1):24-33. doi:10.1037/a0034092
- Nickerson A, Schnyder U, Bryant RA, Schick M, Mueller J, Morina N. Moral injury in traumatized refugees. Psychother Psychosom. 2015;84(2):122-123. doi:10.1159/000369353
- Papazoglou K, Chopko B. The role of moral suffering (moral distress and moral injury) in police compassion fatigue and PTSD: An unexplored topic. Front Psychol. 2017;8:1999. doi:10.3389/fpsyg.2017.01999
- Papazoglou K, Blumberg DM, Chiongbian VB, et al. The role of moral injury in PTSD among law enforcement officers: a brief report. Front Psychol. 2020;11:310. doi:10.3389/fpsyg.2020.00310
- Martin WB, Holliday R, LePage JP. Trauma and diversity: moral injury among justice involved veterans: an understudied clinical concern. Stresspoints. 2020;33(5).
- Currier JM, Drescher KD, Nieuwsma J. Future directions for addressing moral injury in clinical practice: concluding comments. In: Currier JM, Drescher KD, Nieuwsma J, eds. Addressing Moral Injury in Clinical Practice. American Psychological Association; 2021:261-271. doi:10.1037/0000204-015
- Alexander AR, Mendez L, Kerig PK. Moral injury as a transdiagnostic risk factor for mental health problems in detained youth. Crim Justice Behav. 2023;51(2):194-212. doi:10.1177/00938548231208203
- DeCaro JB, Straka K, Malek N, Zalta AK. Sentenced to shame: moral injury exposure in former lifers. Psychol Trauma. 2024; 15(5):722-730. doi:10.1037/tra0001400
- Orak U, Kelton K, Vaughn MG, Tsai J, Pietrzak RH. Homelessness and contact with the criminal legal system among U.S. combat veterans: an exploration of potential mediating factors. Crim Justice Behav. 2022;50(3):392-409. doi:10.1177/00938548221140352
- Bronson J, Carson EA, Noonan M. Veterans in Prison and Jail, 2011-12. US Department of Justice, Bureau of Justice Statistics; Published December 2015. Accessed March 4, 2025. https://bjs.ojp.gov/content/pub/pdf/vpj1112.pdf
- Maruschak LM, Bronson J, Alper M. Veterans in Prison: Survey of Prison Inmates, 2016. US Department of Justice, Bureau of Justice Statistics; March 2021. Accessed March 4, 2025. https://bjs.ojp.gov/redirect-legacy/content/pub/pdf/vpspi16st.pdf
- Blodgett JC, Avoundjian T, Finlay AK, et al. Prevalence of mental health disorders among justiceinvolved veterans. Epidemiol Rev. 2015;37:163-176. doi:10.1093/epirev/mxu003
- Finlay AK, Owens MD, Taylor E, et al. A scoping review of military veterans involved in the criminal justice system and their health and healthcare. Health Justice. 2019;7(1):6. doi:10.1186/s40352-019-0086-9
- Holliday R, Martin WB, Monteith LL, Clark SC, LePage JP. Suicide among justice-involved veterans: a brief overview of extant research, theoretical conceptualization, and recommendations for future research. J Soc Distress Homeless. 2020;30(1):41-49. doi:10.1080/10530789.2019.1711306
- Wortzel HS, Binswanger IA, Anderson CA, Adler LE. Suicide among incarcerated veterans. J Am Acad Psychiatry Law. 2009;37(1):82-91.
- Desai A, Holliday R, Borges LM, et al. Facilitating successful reentry among justice-involved veterans: the role of veteran and offender identity. J Psychiatr Pract. 2021;27(1):52-60. doi:10.1097/PRA.0000000000000520
- Asencio EK, Burke PJ. Does incarceration change the criminal identity? A synthesis of labeling and identity theory perspectives on identity change. Sociol Perspect. 2011;54(2):163-182. doi:10.1525/sop.2011.54.2.163
- Borges LM, Desai A, Barnes SM, Johnson JPS. The role of social determinants of health in moral injury: implications and future directions. Curr Treat Options Psychiatry. 2022;9(3):202-214. doi:10.1007/s40501-022-00272-4
- Houle SA, Ein N, Gervasio J, et al. Measuring moral distress and moral injury: a systematic review and content analysis of existing scales. Clin Psychol Rev. 2024;108:102377. doi:10.1016/j.cpr.2023.102377
- Nash WP, Marino Carper TL, Mills MA, Au T, Goldsmith A, Litz BT. Psychometric evaluation of the moral injury events scale. Mil Med. 2013;178(6):646-652. doi:10.7205/MILMED-D-13-00017
- Zerach G, Ben-Yehuda A, Levi-Belz Y. Prospective associations between psychological factors, potentially morally injurious events, and psychiatric symptoms among Israeli combatants: the roles of ethical leadership and ethical preparation. Psychol Trauma. 2023;15(8):1367-1377. doi:10.1037/tra0001466
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. American Psychiatric Association; 2013.
- Weathers FW, Litz BT, Keane TM, Palmeri PA, Marx BP. The PTSD Checklist for DSM-5 (PCL-5). National Center for PTSD. Accessed March 4, 2025. www.ptsd.va.gov
- Bovin MJ, Marx BP, Weathers FW, et al. Psychometric properties of the PTSD checklist for diagnostic and statistical manual of mental disorders-fifth edition (PCL-5) in veterans. Psychol Assess. 2016;28(11):1379-1391. doi:10.1037/pas0000254
- Blevins CA, Weathers FW, Davis MT, Witte TK, Domino JL. The osttraumatic stress disorder checklist for DSM-5 (PCL- 5): development and initial psychometric evaluation. J Trauma Stress. 2015;28(6):489-498. doi:10.1002/jts.22059
- Kroenke K, Spi tzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613. doi:10.1046/j.1525-1497.2001.016009606.x
- Brown TA. Confirmatory Factor Analysis for Applied Research. 2nd ed. Guilford Press; 2015.
- Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960;20(1):141-151. doi:10.1177/001316446002000116
- Schorr Y, Stein NR, Maguen S, Barnes JB, Bosch J, Litz BT. Sources of moral injury among war veterans: a qualitative evaluation. J Clin Psychol. 2018;74(12):2203-2218. doi:10.1002/jclp.22660
- Griffin BJ, Purcell N, Burkman K, et al. Moral injury: an integrative review. J Trauma Stress. 2019;32(3):350-362. doi:10.1002/jts.22362
- Currier JM, Holland JM, Malott J. Moral injury, meaning making, and mental health in returning veterans. J Clin Psychol. 2015;71(3):229-240. doi:10.1002/jclp.22134
- Jinkerson JD. Defining and assessing moral injury: a syndrome perspective. Traumatology. 2016;22(2):122-130. doi:10.1037/trm0000069
- Litz BT, Stein N, Delaney E, et al. Moral injury and moral repair in war veterans: a preliminary model and intervention strategy. Clin Psychol Rev. 2009;29(8):695-706. doi:10.1016/j.cpr.2009.07.003
- Maguen S, Litz B. Moral injury in veterans of war. PTSD Res Q. 2012;23(1):1-6. www.vva1071.org/uploads/3/4/4/6/34460116/moral_injury_in_veterans_of_war.pdf
- Drescher KD, Foy DW, Kelly C, Leshner A, Schutz K, Litz B. An exploration of the viability and usefulness of the construct of moral injury in war veterans. Traumatology. 2011;17(1):8-13. doi:10.1177/1534765610395615
- Wisco BE, Marx BP, May CL, et al. Moral injury in U.S. combat veterans: results from the national health and resilience in veterans study. Depress Anxiety. 2017; 34(4):340-347. doi:10.1002/da.22614
- Bryan CJ, Bryan AO, Anestis MD, et al. Measuring moral injury: psychometric properties of the moral injury events scale in two military samples. Assessment. 2016;23(5):557- 570. doi:10.1177/1073191115590855
- Currier JM, Smith PN, Kuhlman S. Assessing the unique role of religious coping in suicidal behavior among U.S. Iraq and Afghanistan veterans. Psychol Relig Spiritual. 2017;9(1):118-123. doi:10.1037/rel0000055
- Kopacz MS, Connery AL, Bishop TM, et al. Moral injury: a new challenge for complementary and alternative medicine. Complement Ther Med. 2016;24:29-33. doi:10.1016/j.ctim.2015.11.003
- Vargas AF, Hanson T, Kraus D, Drescher K, Foy D. Moral injury themes in combat veterans’ narrative responses from the national vietnam veterans’ readjustment study. Traumatology. 2013;19(3):243-250. doi:10.1177/1534765613476099
- Borges LM, Barnes SM, Farnsworth JK, Bahraini NH, Brenner LA. A commentary on moral injury among health care providers during the COVID-19 pandemic. Psychol Trauma. 2020;12(S1):S138-S140. doi:10.1037/tra0000698
- Borges LM, Holliday R, Barnes SM, et al. A longitudinal analysis of the role of potentially morally injurious events on COVID-19-related psychosocial functioning among healthcare providers. PLoS One. 2021;16(11):e0260033. doi:10.1371/journal.pone.0260033
- Currier JM, Holland JM, Rojas-Flores L, Herrera S, Foy D. Morally injurious experiences and meaning in Salvadorian teachers exposed to violence. Psychol Trauma. 2015;7(1):24-33. doi:10.1037/a0034092
- Nickerson A, Schnyder U, Bryant RA, Schick M, Mueller J, Morina N. Moral injury in traumatized refugees. Psychother Psychosom. 2015;84(2):122-123. doi:10.1159/000369353
- Papazoglou K, Chopko B. The role of moral suffering (moral distress and moral injury) in police compassion fatigue and PTSD: An unexplored topic. Front Psychol. 2017;8:1999. doi:10.3389/fpsyg.2017.01999
- Papazoglou K, Blumberg DM, Chiongbian VB, et al. The role of moral injury in PTSD among law enforcement officers: a brief report. Front Psychol. 2020;11:310. doi:10.3389/fpsyg.2020.00310
- Martin WB, Holliday R, LePage JP. Trauma and diversity: moral injury among justice involved veterans: an understudied clinical concern. Stresspoints. 2020;33(5).
- Currier JM, Drescher KD, Nieuwsma J. Future directions for addressing moral injury in clinical practice: concluding comments. In: Currier JM, Drescher KD, Nieuwsma J, eds. Addressing Moral Injury in Clinical Practice. American Psychological Association; 2021:261-271. doi:10.1037/0000204-015
- Alexander AR, Mendez L, Kerig PK. Moral injury as a transdiagnostic risk factor for mental health problems in detained youth. Crim Justice Behav. 2023;51(2):194-212. doi:10.1177/00938548231208203
- DeCaro JB, Straka K, Malek N, Zalta AK. Sentenced to shame: moral injury exposure in former lifers. Psychol Trauma. 2024; 15(5):722-730. doi:10.1037/tra0001400
- Orak U, Kelton K, Vaughn MG, Tsai J, Pietrzak RH. Homelessness and contact with the criminal legal system among U.S. combat veterans: an exploration of potential mediating factors. Crim Justice Behav. 2022;50(3):392-409. doi:10.1177/00938548221140352
- Bronson J, Carson EA, Noonan M. Veterans in Prison and Jail, 2011-12. US Department of Justice, Bureau of Justice Statistics; Published December 2015. Accessed March 4, 2025. https://bjs.ojp.gov/content/pub/pdf/vpj1112.pdf
- Maruschak LM, Bronson J, Alper M. Veterans in Prison: Survey of Prison Inmates, 2016. US Department of Justice, Bureau of Justice Statistics; March 2021. Accessed March 4, 2025. https://bjs.ojp.gov/redirect-legacy/content/pub/pdf/vpspi16st.pdf
- Blodgett JC, Avoundjian T, Finlay AK, et al. Prevalence of mental health disorders among justiceinvolved veterans. Epidemiol Rev. 2015;37:163-176. doi:10.1093/epirev/mxu003
- Finlay AK, Owens MD, Taylor E, et al. A scoping review of military veterans involved in the criminal justice system and their health and healthcare. Health Justice. 2019;7(1):6. doi:10.1186/s40352-019-0086-9
- Holliday R, Martin WB, Monteith LL, Clark SC, LePage JP. Suicide among justice-involved veterans: a brief overview of extant research, theoretical conceptualization, and recommendations for future research. J Soc Distress Homeless. 2020;30(1):41-49. doi:10.1080/10530789.2019.1711306
- Wortzel HS, Binswanger IA, Anderson CA, Adler LE. Suicide among incarcerated veterans. J Am Acad Psychiatry Law. 2009;37(1):82-91.
- Desai A, Holliday R, Borges LM, et al. Facilitating successful reentry among justice-involved veterans: the role of veteran and offender identity. J Psychiatr Pract. 2021;27(1):52-60. doi:10.1097/PRA.0000000000000520
- Asencio EK, Burke PJ. Does incarceration change the criminal identity? A synthesis of labeling and identity theory perspectives on identity change. Sociol Perspect. 2011;54(2):163-182. doi:10.1525/sop.2011.54.2.163
- Borges LM, Desai A, Barnes SM, Johnson JPS. The role of social determinants of health in moral injury: implications and future directions. Curr Treat Options Psychiatry. 2022;9(3):202-214. doi:10.1007/s40501-022-00272-4
- Houle SA, Ein N, Gervasio J, et al. Measuring moral distress and moral injury: a systematic review and content analysis of existing scales. Clin Psychol Rev. 2024;108:102377. doi:10.1016/j.cpr.2023.102377
- Nash WP, Marino Carper TL, Mills MA, Au T, Goldsmith A, Litz BT. Psychometric evaluation of the moral injury events scale. Mil Med. 2013;178(6):646-652. doi:10.7205/MILMED-D-13-00017
- Zerach G, Ben-Yehuda A, Levi-Belz Y. Prospective associations between psychological factors, potentially morally injurious events, and psychiatric symptoms among Israeli combatants: the roles of ethical leadership and ethical preparation. Psychol Trauma. 2023;15(8):1367-1377. doi:10.1037/tra0001466
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. American Psychiatric Association; 2013.
- Weathers FW, Litz BT, Keane TM, Palmeri PA, Marx BP. The PTSD Checklist for DSM-5 (PCL-5). National Center for PTSD. Accessed March 4, 2025. www.ptsd.va.gov
- Bovin MJ, Marx BP, Weathers FW, et al. Psychometric properties of the PTSD checklist for diagnostic and statistical manual of mental disorders-fifth edition (PCL-5) in veterans. Psychol Assess. 2016;28(11):1379-1391. doi:10.1037/pas0000254
- Blevins CA, Weathers FW, Davis MT, Witte TK, Domino JL. The osttraumatic stress disorder checklist for DSM-5 (PCL- 5): development and initial psychometric evaluation. J Trauma Stress. 2015;28(6):489-498. doi:10.1002/jts.22059
- Kroenke K, Spi tzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613. doi:10.1046/j.1525-1497.2001.016009606.x
- Brown TA. Confirmatory Factor Analysis for Applied Research. 2nd ed. Guilford Press; 2015.
- Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960;20(1):141-151. doi:10.1177/001316446002000116
- Schorr Y, Stein NR, Maguen S, Barnes JB, Bosch J, Litz BT. Sources of moral injury among war veterans: a qualitative evaluation. J Clin Psychol. 2018;74(12):2203-2218. doi:10.1002/jclp.22660
Examining Moral Injury in Legal-Involved Veterans: Psychometric Properties of the Moral Injury Events Scale
Examining Moral Injury in Legal-Involved Veterans: Psychometric Properties of the Moral Injury Events Scale
VA is a Leader in Mental Health and Social Service Research and Operations
VA is a Leader in Mental Health and Social Service Research and Operations
The US Department of Veterans Affairs (VA) mission is defined by President Abraham Lincoln’s promise “to care for him who shall have borne the battle, and for his widow, and his orphan.” Critically, the biopsychosocial needs of veterans differ from the needs of civilians due to the nature of military service.1 Veterans commonly experience traumatic brain injury (TBI) due to combat- or training-related injuries.2 Psychologically, veterans are disproportionately likely to be diagnosed with mental health conditions, such as posttraumatic stress disorder (PTSD), often linked to military exposures.3 Spiritually, veterans frequently express moral injury after living through circumstances when they perpetrate, fail to prevent, or witness events that contradict moral beliefs/ expectations.4 Veterans also have significant social challenges, including high rates of homelessness. 5 A critical strength of the VA mission is its awareness of these complex sequelae and its ability to provide well-informed treatment and social services to meet veterans’ unique needs.
Foundational to a well-informed health care system is a robust research and operational quality improvement infrastructure. The VA Office of Research and Development (ORD) has worked tirelessly to understand and address the unique, idiographic needs of veterans. In 2024 the ORD had a budget of $2.4 billion, excluding quality improvement initiatives enhancing VA operations.6
The integrated VA health care system is a major strength for providing state-of-the-science to inform veterans’ treatment and social service needs. The VA features medical centers and clinics capable of synergistically leveraging extant infrastructure to facilitate collaborations and centralized procedures across sites. The VA also has dedicated research centers, such as the National Center for PTSD, Centers of Excellence, Centers of Innovation, and Mental Illness, Research, Education and Clinical Centers that focus on PTSD, suicide prevention, TBI, and other high-priority areas. These centers recruit, train, and invest in experts dedicated to improving veterans’ lives. The VA Corporate Data Warehouse provides a national, system-wide repository for patient-level data, allowing for advanced analysis of large datasets.7
This special issue is a showcase of the strengths of VA mental health and social service research, aligning with the current strategic priorities of VA research. Topics focus on the unique needs of veterans, including sequelae (eg, PTSD, homelessness, moral injury), with particular attention to veterans. Manuscripts highlight the strengths of collaborations, including those between specialized research centers and national VA operational partners. Analyses highlight the VA research approach, leveraging data and perspectives from inside and outside the VA, and studying new and established approaches to care. This issue highlights the distinct advantages that VA research provides: experts with the tools, experience, and dedication to addressing the unique needs of veterans. Given the passion for veteran care among VA researchers, including those featured in this issue, we strongly believe the VA will continue to be a leader in this research.
- Oster C, Morello A, Venning A, Redpath P, Lawn S. The health and wellbeing needs of veterans: a rapid review. BMC Psychiatry. 2017;17(1):414. doi:10.1186/s12888-017-1547-0
- Cypel YS, Vogt D, Maguen S, et al. Physical health of Post- 9/11 U.S. military veterans in the context of Healthy People 2020 targeted topic areas: results from the Comparative Health Assessment Interview Research Study. Prev Med Rep. 2023;32:102122. doi:10.1016/j.pmedr.2023.102122
- Lehavot K, Katon JG, Chen JA, Fortney JC, Simpson TL. Post-traumatic stress disorder by gender and veteran Status. Am J Prev Med. 2018;54(1):e1-e9. doi:10.1016/j.amepre.2017.09.008
- Griffin BJ, Purcell N, Burkman K, et al. Moral injury: an integrative review. J Trauma Stress. 2019;32(3):350-362. doi:10.1002/jts.22362
- Tsai J, Pietrzak RH, Szymkowiak D. The problem of veteran homelessness: an update for the new decade. Am J Prev Med. 2021;60(6):774-780. doi:10.1016/j.amepre.2020.12.012
- US Department of Veterans Affairs, Office of Research and Development. About the office of research & development. Updated January 22, 2025. Accessed March 18, 2025. https://www.research.va.gov/about/default.cfm
- Fihn SD, Francis J, Clancy C, et al. Insights from advanced analytics at the Veterans Health Administration. Health Aff (Millwood). 2014;33(7):1203-1211. doi:10.1377/hlthaff.2014.0054
The US Department of Veterans Affairs (VA) mission is defined by President Abraham Lincoln’s promise “to care for him who shall have borne the battle, and for his widow, and his orphan.” Critically, the biopsychosocial needs of veterans differ from the needs of civilians due to the nature of military service.1 Veterans commonly experience traumatic brain injury (TBI) due to combat- or training-related injuries.2 Psychologically, veterans are disproportionately likely to be diagnosed with mental health conditions, such as posttraumatic stress disorder (PTSD), often linked to military exposures.3 Spiritually, veterans frequently express moral injury after living through circumstances when they perpetrate, fail to prevent, or witness events that contradict moral beliefs/ expectations.4 Veterans also have significant social challenges, including high rates of homelessness. 5 A critical strength of the VA mission is its awareness of these complex sequelae and its ability to provide well-informed treatment and social services to meet veterans’ unique needs.
Foundational to a well-informed health care system is a robust research and operational quality improvement infrastructure. The VA Office of Research and Development (ORD) has worked tirelessly to understand and address the unique, idiographic needs of veterans. In 2024 the ORD had a budget of $2.4 billion, excluding quality improvement initiatives enhancing VA operations.6
The integrated VA health care system is a major strength for providing state-of-the-science to inform veterans’ treatment and social service needs. The VA features medical centers and clinics capable of synergistically leveraging extant infrastructure to facilitate collaborations and centralized procedures across sites. The VA also has dedicated research centers, such as the National Center for PTSD, Centers of Excellence, Centers of Innovation, and Mental Illness, Research, Education and Clinical Centers that focus on PTSD, suicide prevention, TBI, and other high-priority areas. These centers recruit, train, and invest in experts dedicated to improving veterans’ lives. The VA Corporate Data Warehouse provides a national, system-wide repository for patient-level data, allowing for advanced analysis of large datasets.7
This special issue is a showcase of the strengths of VA mental health and social service research, aligning with the current strategic priorities of VA research. Topics focus on the unique needs of veterans, including sequelae (eg, PTSD, homelessness, moral injury), with particular attention to veterans. Manuscripts highlight the strengths of collaborations, including those between specialized research centers and national VA operational partners. Analyses highlight the VA research approach, leveraging data and perspectives from inside and outside the VA, and studying new and established approaches to care. This issue highlights the distinct advantages that VA research provides: experts with the tools, experience, and dedication to addressing the unique needs of veterans. Given the passion for veteran care among VA researchers, including those featured in this issue, we strongly believe the VA will continue to be a leader in this research.
The US Department of Veterans Affairs (VA) mission is defined by President Abraham Lincoln’s promise “to care for him who shall have borne the battle, and for his widow, and his orphan.” Critically, the biopsychosocial needs of veterans differ from the needs of civilians due to the nature of military service.1 Veterans commonly experience traumatic brain injury (TBI) due to combat- or training-related injuries.2 Psychologically, veterans are disproportionately likely to be diagnosed with mental health conditions, such as posttraumatic stress disorder (PTSD), often linked to military exposures.3 Spiritually, veterans frequently express moral injury after living through circumstances when they perpetrate, fail to prevent, or witness events that contradict moral beliefs/ expectations.4 Veterans also have significant social challenges, including high rates of homelessness. 5 A critical strength of the VA mission is its awareness of these complex sequelae and its ability to provide well-informed treatment and social services to meet veterans’ unique needs.
Foundational to a well-informed health care system is a robust research and operational quality improvement infrastructure. The VA Office of Research and Development (ORD) has worked tirelessly to understand and address the unique, idiographic needs of veterans. In 2024 the ORD had a budget of $2.4 billion, excluding quality improvement initiatives enhancing VA operations.6
The integrated VA health care system is a major strength for providing state-of-the-science to inform veterans’ treatment and social service needs. The VA features medical centers and clinics capable of synergistically leveraging extant infrastructure to facilitate collaborations and centralized procedures across sites. The VA also has dedicated research centers, such as the National Center for PTSD, Centers of Excellence, Centers of Innovation, and Mental Illness, Research, Education and Clinical Centers that focus on PTSD, suicide prevention, TBI, and other high-priority areas. These centers recruit, train, and invest in experts dedicated to improving veterans’ lives. The VA Corporate Data Warehouse provides a national, system-wide repository for patient-level data, allowing for advanced analysis of large datasets.7
This special issue is a showcase of the strengths of VA mental health and social service research, aligning with the current strategic priorities of VA research. Topics focus on the unique needs of veterans, including sequelae (eg, PTSD, homelessness, moral injury), with particular attention to veterans. Manuscripts highlight the strengths of collaborations, including those between specialized research centers and national VA operational partners. Analyses highlight the VA research approach, leveraging data and perspectives from inside and outside the VA, and studying new and established approaches to care. This issue highlights the distinct advantages that VA research provides: experts with the tools, experience, and dedication to addressing the unique needs of veterans. Given the passion for veteran care among VA researchers, including those featured in this issue, we strongly believe the VA will continue to be a leader in this research.
- Oster C, Morello A, Venning A, Redpath P, Lawn S. The health and wellbeing needs of veterans: a rapid review. BMC Psychiatry. 2017;17(1):414. doi:10.1186/s12888-017-1547-0
- Cypel YS, Vogt D, Maguen S, et al. Physical health of Post- 9/11 U.S. military veterans in the context of Healthy People 2020 targeted topic areas: results from the Comparative Health Assessment Interview Research Study. Prev Med Rep. 2023;32:102122. doi:10.1016/j.pmedr.2023.102122
- Lehavot K, Katon JG, Chen JA, Fortney JC, Simpson TL. Post-traumatic stress disorder by gender and veteran Status. Am J Prev Med. 2018;54(1):e1-e9. doi:10.1016/j.amepre.2017.09.008
- Griffin BJ, Purcell N, Burkman K, et al. Moral injury: an integrative review. J Trauma Stress. 2019;32(3):350-362. doi:10.1002/jts.22362
- Tsai J, Pietrzak RH, Szymkowiak D. The problem of veteran homelessness: an update for the new decade. Am J Prev Med. 2021;60(6):774-780. doi:10.1016/j.amepre.2020.12.012
- US Department of Veterans Affairs, Office of Research and Development. About the office of research & development. Updated January 22, 2025. Accessed March 18, 2025. https://www.research.va.gov/about/default.cfm
- Fihn SD, Francis J, Clancy C, et al. Insights from advanced analytics at the Veterans Health Administration. Health Aff (Millwood). 2014;33(7):1203-1211. doi:10.1377/hlthaff.2014.0054
- Oster C, Morello A, Venning A, Redpath P, Lawn S. The health and wellbeing needs of veterans: a rapid review. BMC Psychiatry. 2017;17(1):414. doi:10.1186/s12888-017-1547-0
- Cypel YS, Vogt D, Maguen S, et al. Physical health of Post- 9/11 U.S. military veterans in the context of Healthy People 2020 targeted topic areas: results from the Comparative Health Assessment Interview Research Study. Prev Med Rep. 2023;32:102122. doi:10.1016/j.pmedr.2023.102122
- Lehavot K, Katon JG, Chen JA, Fortney JC, Simpson TL. Post-traumatic stress disorder by gender and veteran Status. Am J Prev Med. 2018;54(1):e1-e9. doi:10.1016/j.amepre.2017.09.008
- Griffin BJ, Purcell N, Burkman K, et al. Moral injury: an integrative review. J Trauma Stress. 2019;32(3):350-362. doi:10.1002/jts.22362
- Tsai J, Pietrzak RH, Szymkowiak D. The problem of veteran homelessness: an update for the new decade. Am J Prev Med. 2021;60(6):774-780. doi:10.1016/j.amepre.2020.12.012
- US Department of Veterans Affairs, Office of Research and Development. About the office of research & development. Updated January 22, 2025. Accessed March 18, 2025. https://www.research.va.gov/about/default.cfm
- Fihn SD, Francis J, Clancy C, et al. Insights from advanced analytics at the Veterans Health Administration. Health Aff (Millwood). 2014;33(7):1203-1211. doi:10.1377/hlthaff.2014.0054
VA is a Leader in Mental Health and Social Service Research and Operations
VA is a Leader in Mental Health and Social Service Research and Operations
Validation of the Timberlawn Couple and Family Evaluation Scales–Self-Report in Veterans with PTSD
Although about 8.3% of the general adult civilian population will be diagnosed with posttraumatic stress disorder (PTSD) in their lifetime, rates of PTSD are even higher in the veteran population.1,2 PTSD is associated with a number of psychosocial consequences in veterans, including decreased intimate partner relationship functioning.3,4 For example, Cloitre and colleagues reported that PTSD is associated with difficulty with socializing, intimacy, responsibility, and control, all of which increase difficulties in intimate partner relationships.5 Similarly, researchers also have noted that traumatic experiences can affect an individual’s attachment style, resulting in progressive avoidance of interpersonal relationships, which can lead to marked difficulties in maintaining and beginning intimate partner relationships.6,7 Despite these known consequences of PTSD, as Dekel and Monson noted in a review,further research is still needed regarding the mechanisms by which trauma and PTSD result in decreased intimate partner relationship functioning among veterans.8 Nonetheless, as positive interpersonal relationships are associated with decreased PTSD symptom severity9,10 and increased engagement in PTSD treatment,11 determining methods of measuring intimate partner relationship functioning in veterans with PTSD is important to inform future research and aid the provision of care.
To date, limited research has examined the valid measurement of intimate partner relationship functioning among veterans with PTSD. Many existing measures that comprehensively assess intimate partner relationship functioning are time and resource intensive. One such measure, the Timberlawn Couple and Family Evaluation Scales (TCFES), comprehensively assesses multiple pertinent domains of intimate partner relationship functioning (ie, structure, autonomy, problem solving, affect regulation, and disagreement/conflict).12 By assessing multiple domains, the TCFES offers a method of understanding the specific components of an individual’s intimate partner relationship in need of increased clinical attention.12 However, the TCFES is a time- and labor-intensive observational measure that requires a couple to interact while a blinded, independent rater observes and rates their interactions using an intricate coding process. This survey structure precludes the ability to quickly and comprehensively assess a veteran’s intimate partner functioning in settings such as mental health outpatient clinics where mental health providers engage in brief, time-limited psychotherapy. As such, brief measures of intimate partner relationship functioning are needed to best inform clinical care among veterans with PTSD.
The primary aim of the current study was to create a psychometrically valid, yet brief, self-report version of the TCFES to assess multiple domains of intimate partner relationship functioning. The psychometric properties of this measure were assessed among a sample of US veterans with PTSD who were in an intimate partner relationship. We specifically examined factor structure, reliability, and associations to established measures of specific domains of relational functioning.
Methods
Ninety-four veterans were recruited via posted advertisements, promotion in PTSD therapy groups/staff meetings, and word of mouth at the Dallas Veterans Affairs Medical Center (VAMC). Participants were eligible if they had a documented diagnosis of PTSD as confirmed in the veteran’s electronic medical record and an affirmative response to currently being involved in an intimate partner relationship (ie, legally married, common-law spouse, involved in a relationship/partnership). There were no exclusion criteria.
Interested veterans were invited to complete several study-related self-report measures concerning their intimate partner relationships that would take about an hour. They were informed that the surveys were voluntary and confidential, and that they would be compensated for their participation. All veterans who participated provided written consent and the study was approved by the Dallas VAMC institutional review board.
Of the 94 veterans recruited, 3 veterans’ data were removed from current analyses after informed consent but before completing the surveys when they indicated they were not currently in a relationship or were divorced. After consent, the 91 participants were administered several study-related self-report measures. The measures took between 30 and 55 minutes to complete. Participants were then compensated $25 for their participation.
Intimate Partner Relationship Functioning
The 16-item TCFES self-report version (TCFES-SR) was developed to assess multiple domains of interpersonal functioning (Appendix). The observational TCFES assesses 5 intimate partner relationship characteristic domains (ie, structure, autonomy, problem solving, affect regulation, and disagreement/conflict) during a couple’s interaction by an independent trained rater.12 Each of the 16 TCFES-SR items were modeled after original constructs measured by the TCFES, including power, closeness, clarify, other’s views, responsibility, closure, negotiation, expressiveness, responsiveness, positive regard, negative regard, mood/tone, empathy, frequency, affective quality, and generalization and escalation. To maintain consistency with the TCFES, each item of the TCFES-SR was scored from 1 (severely dysfunctional) to 5 (highly functional). Additionally, all item wording for the TCFES-SR was based on wording in the TCFES manual after consultation with an expert who facilitated the development of the TCFES.12 On average, the TCFES-SR took 5 to 10 minutes to complete.
To measure concurrent validity of the modified TCFES-SR, several additional interpersonal measures were selected and administered based on prior research and established domains of the TCFES. The Positive and Negative Quality in Marriage Scale (PANQIMS) was administered to assess perceived attitudes toward a relationship.13,14 The PANQIMS generates 2 subscales: positive quality and negative quality in the relationship. Because the PANQIMS specifically assesses married relationships and our sample included married and nonmarried participants, wording was modified (eg, “spouse/partner”).
The relative power subscale of the Network Relationships Inventory–Relationship Qualities Version (NRI-RQV) measure was administered to assess the unequal/shared role romantic partners have in power equality (ie, relative power).15
The Revised Dyadic Adjustment Scale (RDAS) is a self-report measure that assesses multiple dimensions of marital adjustment and functioning.16 Six subscales of the RDAS were chosen based on items of the TCFES-SR: decision making, values, affection, conflict, activities, and discussion.
The Interpersonal Reactivity Index (IRI) empathetic concern subscale was administered to assess empathy across multiple contexts and situations17 and the Experiences in Close Relationships-Revised Questionnaire (ECR-R) was administered to assess relational functioning by determining attachment-related anxiety and avoidance.18
Sociodemographic Information
A sociodemographic questionnaire also was administered. The questionnaire assessed gender, age, education, service branch, length of interpersonal relationship, race, and ethnicity of the veteran as well as gender of the veteran’s partner.
Statistical Analysis
Factor structure of the TCFES-SR was determined by conducting an exploratory factor analysis. To allow for correlation between items, the Promax oblique rotation method was chosen.19 Number of factors was determined by agreement between number of eigenvalues ≥ 1, visual inspection of the scree plot, and a parallel analysis. Factor loadings of ≥ 0.3 were used to determine which items loaded on to which factors.
Convergent validity was assessed by conducting Pearson’s bivariate correlations between identified TCFES-SR factor(s) and other administered measures of interpersonal functioning (ie, PANQIMS positive and negative quality; NRI-RQV relative power subscale; RDAS decision making, values, affection, conflict, activities, and discussion subscales; IRI-empathetic concern subscale; and ECR-R attachment-related anxiety and avoidance subscales). Strength of relationship was determined based on the following guidelines: ± 0.3 to 0.49 = small, ± 0.5 to 0.69 = moderate, and ± 0.7 to 1.00 = large. Internal consistency was also determined for TCFES-SR factor(s) using Cronbach’s α. A standard level of significance (α=.05) was used for all statistical analyses.
Results
Eighty-six veterans provided complete data (Table 1). The Kaiser-Meyer-Olkin measure of sampling adequacy was indicative that sample size was adequate (.91), while Bartlett’s test of sphericity found the variables were suitable for structure detection, χ2 (120) = 800.00, P < .001. While 2 eigenvalues were ≥ 1, visual inspection of the scree plot and subsequent parallel analysis identified a unidimensional structure (ie, 1 factor) for the TCFES-SR. All items were found to load to this single factor, with all loadings being ≥ 0.5 (Table 2). Additionally, internal consistency was excellent for the scale (α = .93).
Pearson’s bivariate correlations were significant (P < .05) between TCFES-SR total score, and almost all administered interpersonal functioning measures (Table 3). Interestingly, no significant associations were found between any of the administered measures, including the TCFES-SR total score, and the IRI-empathetic concern subscale (P > .05).
Discussion
These findings provide initial support for the psychometric properties of the TCFES-SR, including excellent internal consistency and the adequate association of its total score to established measures of interpersonal functioning. Contrary to the TCFES, the TCFES-SR was shown to best fit a unidimensional factor rather than a multidimensional measure of relationship functioning. However, the TCFES-SR was also shown to have strong convergent validity with multiple domains of relationship functioning, indicating that the measure of overall intimate partner relationship functioning encompasses a number of relational domains (ie, structure, autonomy, problem solving, affect regulation, and disagreement/conflict). Critically, the TCFES-SR is brief and was administered easily in our sample, providing utility as clinical tool to be used in time-sensitive outpatient settings.
A unidimensional factor has particular strength in providing a global portrait of perceived intimate partner relationship functioning, and mental health providers can administer the TCFES-SR to assess for overall perceptions of intimate partner relationship functioning rather than administering a number of measures focusing on specific interpersonal domains (eg, decision making processes or positive/negative attitudes towards one’s relationship). This allows for the quick assessment (ie, 5-10 minutes) of overall intimate partner relationship functioning rather than administration of multiple self-report measures which can be time-intensive and expensive. However, the TCFES-SR also is limited by a lack of nuanced understanding of perceptions of functioning specific to particular domains. For example, the TCFES-SR score cannot describe intimate partner functioning in the domain of problem solving. Therefore, brief screening tools need to be developed that assess multiple intimate partner relationship domains.
Importantly, overall intimate partner relationship functioning as measured by the TCFES-SR may not incorporate perceptions of relationship empathy, as the total score did not correlate with a measure of empathetic concern (ie, the IRI-empathetic concern subscale). As empathy was based on one item in the TCFES-SR vs 7 in the IRI-empathetic concern subscale, it is unclear if the TCFES-SR only captures a portion of the construct of empathy (ie, sensitivity to partner) vs the comprehensive assessment of trait empathy that the IRI subscale measures. Additionally, the IRI-empathetic concern subscale did not significantly correlate with any of the other administered measures of relationship functioning. Given the role of empathy in positive, healthy intimate partner relationships, future research should explore the role of empathetic concern among veterans with PTSD as it relates to overall (eg, TCFES-SR) and specific aspects of intimate partner relationship functioning.20
While the clinical applicability of the TCFES-SR requires further examination, this measure has a number of potential uses. Information captured quickly by the TCFES-SR may help to inform appropriate referral for treatment. For instance, veterans reporting low total scores on the TCFES-SR may indicate a need for a referral for intervention focused on improving overall relationship functioning (eg, Integrative Behavioral Couple Therapy).21,22 Measurement-based care (ie, tracking and discussing changes in symptoms during treatment using validated self-report measures) is now required by the Joint Commission as a standard of care,and has been shown to improve outcomes in couples therapy.23,24 As a brief self-report measure, the TCFES-SR may be able to facilitate measurement-based care and assist providers in tracking changes in overall relationship functioning over the course of treatment. However, the purpose of the current study was to validate the TCFES-SR and not to examine the utility of the TCFES-SR in clinical care; additional research is needed to determine standardized cutoff scores to indicate a need for clinical intervention.
Limitations
Several limitations should be noted. The current study only assessed perceived intimate partner relationship functioning from the perspective of the veteran, thus limiting implications as it pertains to the spouse/partner of the veteran. PTSD diagnosis was based on chart review rather than a psychodiagnostic measure (eg, Clinician Administered PTSD Scale); therefore, whether this diagnosis was current or in remission was unclear. Although our sample was adequate to conduct an exploratory factor analysis,the overall sample size was modest, and results should be considered preliminary with need for further replication.25 The sample was also primarily male, white or black, and non-Hispanic; therefore, results may not generalize to a more sociodemographically diverse population. Finally, given the focus of the study to develop a self-report measure, we did not compare the TCFES-SR to the original TCFES. Thus, further research examining the relationship between the TCFES-SR and TCFES may be needed to better understand overlap and potential incongruence in these measures, and to ascertain any differences in their factor structures.
Conclusion
This study is novel in that it adapted a comprehensive observational measure of relationship functioning to a self-report measure piloted among a sample of veterans with PTSD in an intimate partner relationship, a clinical population that remains largely understudied. Although findings are preliminary, the TCFES-SR was found to be a reliable and valid measure of overall intimate partner relationship functioning. Given the rapid administration of this self-report measure, the TCFES-SR may hold clinical utility as a screen of intimate partner relationship deficits in need of clinical intervention. Replication in a larger, more diverse sample is needed to further examine the generalizability and confirm psychometric properties of the TCFES-SR. Additionally, further understanding of the clinical utility of the TCFES-SR in treatment settings remains critical to promote the development and maintenance of healthy intimate partner relationships among veterans with PTSD. Finally, development of effective self-report measures of intimate partner relationship functioning, such as the TCFES-SR, may help to facilitate needed research to understand the effect of PTSD on establishing and maintaining healthy intimate partner relationships among veterans.
Acknowledgments
The current study was funded by the Timberlawn Psychiatric Research Foundation. This material is the result of work supported in part by the US Department of Veterans Affairs; the Rocky Mountain Mental Illness Research, Education and Clinical Center (MIRECC) for Suicide Prevention; Sierra Pacific MIRECC; and the Office of Academic Affiliations, Advanced Fellowship Program in Mental Illness Research and Treatment, Department of Veterans Affairs.
1. Kilpatrick DG, Resnick HS, Milanak ME, Miller MW, Keyes KM, Friedman MJ. National estimates of exposure to traumatic events and PTSD prevalence using DSM-IV and DSM-5 criteria. J Trauma Stress. 2013;26(5):537-547.
2. Lehavot K, Goldberg SB, Chen JA, et al. Do trauma type, stressful life events, and social support explain women veterans’ high prevalence of PTSD? Soc Psychiatry Psychiatr Epidemiol. 2018;53(9):943-953.
3. Galovski T, Lyons JA. Psychological sequelae of combat violence: a review of the impact of PTSD on the veteran’s family and possible interventions. Aggress Violent Behav. 2004;9(5):477-501.
4. Ray SL, Vanstone M. The impact of PTSD on veterans’ family relationships: an interpretative phenomenological inquiry. Int J Nurs Stud. 2009;46(6):838-847.
5. Cloitre M, Miranda R, Stovall-McClough KC, Han H. Beyond PTSD: emotion regulation and interpersonal problems as predictors of functional impairment in survivors of childhood abuse. Behav Ther. 2005;36(2):119-124.
6. McFarlane AC, Bookless C. The effect of PTSD on interpersonal relationships: issues for emergency service works. Sex Relation Ther. 2001;16(3):261-267.
7. Itzhaky L, Stein JY, Levin Y, Solomon Z. Posttraumatic stress symptoms and marital adjustment among Israeli combat veterans: the role of loneliness and attachment. Psychol Trauma. 2017;9(6):655-662.
8. Dekel R, Monson CM. Military-related post-traumatic stress disorder and family relations: current knowledge and future directions. Aggress Violent Behav. 2010;15(4):303-309.
9. Allen ES, Rhoades GK, Stanley SM, Markman HJ. Hitting home: relationships between recent deployment, posttraumatic stress symptoms, and marital functioning for Army couples. J Fam Psychol. 2010;24(3):280-288.
10. Laffaye C, Cavella S, Drescher K, Rosen C. Relationships among PTSD symptoms, social support, and support source in veterans with chronic PTSD. J Trauma Stress. 2008;21(4):394-401.
11. Meis LA, Noorbaloochi S, Hagel Campbell EM, et al. Sticking it out in trauma-focused treatment for PTSD: it takes a village. J Consult Clin Psychol. 2019;87(3):246-256.
12. Lewis JM, Gossett JT, Housson MM, Owen MT. Timberlawn Couple and Family Evaluation Scales. Dallas, TX: Timberlawn Psychiatric Research Foundation; 1999.
13. Fincham FD, Linfield KJ. A new look at marital quality: can spouses feel positive and negative about their marriage? J Fam Psychol. 1997;11(4):489-502.
14. Kaplan KJ. On the ambivalence-indifference problem in attitude theory and measurement: a suggested modification of the semantic differential technique. Psychol Bull. 1972;77(5):361-372.
15. Buhrmester D, Furman W. The Network of Relationship Inventory: Relationship Qualities Version [unpublished measure]. University of Texas at Dallas; 2008.
16. Busby DM, Christensen C, Crane DR, Larson JH. A revision of the Dyadic Adjustment Scale for use with distressed and nondistressed couples: construct hierarchy and multidimensional scales. J Marital Fam Ther. 1995;21(3):289-308.
17. Davis MH. A multidimensional approach to individual differences in empathy. JSAS Catalog Sel Doc Psychol. 1980;10:85.
18. Fraley RC, Waller NG, Brennan KA. An item-response theory analysis of self-report measures of adult attachment. J Pers Soc Psychol. 2000;78(2):350-365.
19. Tabachnick BG, Fidell L. Using Multivariate Statistics. 6th ed. Boston, MA: Pearson; 2013.
20. Sautter FJ, Armelie AP, Glynn SM, Wielt DB. The development of a couple-based treatment for PTSD in returning veterans. Prof Psychol Res Pr. 2011;42(1):63-69.
21. Jacobson NS, Christensen A, Prince SE, Cordova J, Eldridge K. Integrative behavioral couple therapy: an acceptance-based, promising new treatment of couple discord. J Consult Clin Psychol. 2000;9(2):351-355.
22. Makin-Byrd K, Gifford E, McCutcheon S, Glynn S. Family and couples treatment for newly returning veterans. Prof Psychol Res Pr. 2011;42(1):47-55.
23. Peterson K, Anderson J, Bourne D. Evidence Brief: Use of Patient Reported Outcome Measures for Measurement Based Care in Mental Health Shared Decision Making. Washington, DC: Department of Veterans Affairs; 2018. https://www.ncbi.nlm.nih.gov/books/NBK536143. Accessed September 13, 2019.
24. Fortney JC, Unützer J, Wrenn G, et al. A tipping point for measurement-based care. Psychiatr Serv. 2017;68(2):179-188.
25. Costello AB, Osborne JW. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Pract Assess Res Eval. 2005;10(7):1-9.
Although about 8.3% of the general adult civilian population will be diagnosed with posttraumatic stress disorder (PTSD) in their lifetime, rates of PTSD are even higher in the veteran population.1,2 PTSD is associated with a number of psychosocial consequences in veterans, including decreased intimate partner relationship functioning.3,4 For example, Cloitre and colleagues reported that PTSD is associated with difficulty with socializing, intimacy, responsibility, and control, all of which increase difficulties in intimate partner relationships.5 Similarly, researchers also have noted that traumatic experiences can affect an individual’s attachment style, resulting in progressive avoidance of interpersonal relationships, which can lead to marked difficulties in maintaining and beginning intimate partner relationships.6,7 Despite these known consequences of PTSD, as Dekel and Monson noted in a review,further research is still needed regarding the mechanisms by which trauma and PTSD result in decreased intimate partner relationship functioning among veterans.8 Nonetheless, as positive interpersonal relationships are associated with decreased PTSD symptom severity9,10 and increased engagement in PTSD treatment,11 determining methods of measuring intimate partner relationship functioning in veterans with PTSD is important to inform future research and aid the provision of care.
To date, limited research has examined the valid measurement of intimate partner relationship functioning among veterans with PTSD. Many existing measures that comprehensively assess intimate partner relationship functioning are time and resource intensive. One such measure, the Timberlawn Couple and Family Evaluation Scales (TCFES), comprehensively assesses multiple pertinent domains of intimate partner relationship functioning (ie, structure, autonomy, problem solving, affect regulation, and disagreement/conflict).12 By assessing multiple domains, the TCFES offers a method of understanding the specific components of an individual’s intimate partner relationship in need of increased clinical attention.12 However, the TCFES is a time- and labor-intensive observational measure that requires a couple to interact while a blinded, independent rater observes and rates their interactions using an intricate coding process. This survey structure precludes the ability to quickly and comprehensively assess a veteran’s intimate partner functioning in settings such as mental health outpatient clinics where mental health providers engage in brief, time-limited psychotherapy. As such, brief measures of intimate partner relationship functioning are needed to best inform clinical care among veterans with PTSD.
The primary aim of the current study was to create a psychometrically valid, yet brief, self-report version of the TCFES to assess multiple domains of intimate partner relationship functioning. The psychometric properties of this measure were assessed among a sample of US veterans with PTSD who were in an intimate partner relationship. We specifically examined factor structure, reliability, and associations to established measures of specific domains of relational functioning.
Methods
Ninety-four veterans were recruited via posted advertisements, promotion in PTSD therapy groups/staff meetings, and word of mouth at the Dallas Veterans Affairs Medical Center (VAMC). Participants were eligible if they had a documented diagnosis of PTSD as confirmed in the veteran’s electronic medical record and an affirmative response to currently being involved in an intimate partner relationship (ie, legally married, common-law spouse, involved in a relationship/partnership). There were no exclusion criteria.
Interested veterans were invited to complete several study-related self-report measures concerning their intimate partner relationships that would take about an hour. They were informed that the surveys were voluntary and confidential, and that they would be compensated for their participation. All veterans who participated provided written consent and the study was approved by the Dallas VAMC institutional review board.
Of the 94 veterans recruited, 3 veterans’ data were removed from current analyses after informed consent but before completing the surveys when they indicated they were not currently in a relationship or were divorced. After consent, the 91 participants were administered several study-related self-report measures. The measures took between 30 and 55 minutes to complete. Participants were then compensated $25 for their participation.
Intimate Partner Relationship Functioning
The 16-item TCFES self-report version (TCFES-SR) was developed to assess multiple domains of interpersonal functioning (Appendix). The observational TCFES assesses 5 intimate partner relationship characteristic domains (ie, structure, autonomy, problem solving, affect regulation, and disagreement/conflict) during a couple’s interaction by an independent trained rater.12 Each of the 16 TCFES-SR items were modeled after original constructs measured by the TCFES, including power, closeness, clarify, other’s views, responsibility, closure, negotiation, expressiveness, responsiveness, positive regard, negative regard, mood/tone, empathy, frequency, affective quality, and generalization and escalation. To maintain consistency with the TCFES, each item of the TCFES-SR was scored from 1 (severely dysfunctional) to 5 (highly functional). Additionally, all item wording for the TCFES-SR was based on wording in the TCFES manual after consultation with an expert who facilitated the development of the TCFES.12 On average, the TCFES-SR took 5 to 10 minutes to complete.
To measure concurrent validity of the modified TCFES-SR, several additional interpersonal measures were selected and administered based on prior research and established domains of the TCFES. The Positive and Negative Quality in Marriage Scale (PANQIMS) was administered to assess perceived attitudes toward a relationship.13,14 The PANQIMS generates 2 subscales: positive quality and negative quality in the relationship. Because the PANQIMS specifically assesses married relationships and our sample included married and nonmarried participants, wording was modified (eg, “spouse/partner”).
The relative power subscale of the Network Relationships Inventory–Relationship Qualities Version (NRI-RQV) measure was administered to assess the unequal/shared role romantic partners have in power equality (ie, relative power).15
The Revised Dyadic Adjustment Scale (RDAS) is a self-report measure that assesses multiple dimensions of marital adjustment and functioning.16 Six subscales of the RDAS were chosen based on items of the TCFES-SR: decision making, values, affection, conflict, activities, and discussion.
The Interpersonal Reactivity Index (IRI) empathetic concern subscale was administered to assess empathy across multiple contexts and situations17 and the Experiences in Close Relationships-Revised Questionnaire (ECR-R) was administered to assess relational functioning by determining attachment-related anxiety and avoidance.18
Sociodemographic Information
A sociodemographic questionnaire also was administered. The questionnaire assessed gender, age, education, service branch, length of interpersonal relationship, race, and ethnicity of the veteran as well as gender of the veteran’s partner.
Statistical Analysis
Factor structure of the TCFES-SR was determined by conducting an exploratory factor analysis. To allow for correlation between items, the Promax oblique rotation method was chosen.19 Number of factors was determined by agreement between number of eigenvalues ≥ 1, visual inspection of the scree plot, and a parallel analysis. Factor loadings of ≥ 0.3 were used to determine which items loaded on to which factors.
Convergent validity was assessed by conducting Pearson’s bivariate correlations between identified TCFES-SR factor(s) and other administered measures of interpersonal functioning (ie, PANQIMS positive and negative quality; NRI-RQV relative power subscale; RDAS decision making, values, affection, conflict, activities, and discussion subscales; IRI-empathetic concern subscale; and ECR-R attachment-related anxiety and avoidance subscales). Strength of relationship was determined based on the following guidelines: ± 0.3 to 0.49 = small, ± 0.5 to 0.69 = moderate, and ± 0.7 to 1.00 = large. Internal consistency was also determined for TCFES-SR factor(s) using Cronbach’s α. A standard level of significance (α=.05) was used for all statistical analyses.
Results
Eighty-six veterans provided complete data (Table 1). The Kaiser-Meyer-Olkin measure of sampling adequacy was indicative that sample size was adequate (.91), while Bartlett’s test of sphericity found the variables were suitable for structure detection, χ2 (120) = 800.00, P < .001. While 2 eigenvalues were ≥ 1, visual inspection of the scree plot and subsequent parallel analysis identified a unidimensional structure (ie, 1 factor) for the TCFES-SR. All items were found to load to this single factor, with all loadings being ≥ 0.5 (Table 2). Additionally, internal consistency was excellent for the scale (α = .93).
Pearson’s bivariate correlations were significant (P < .05) between TCFES-SR total score, and almost all administered interpersonal functioning measures (Table 3). Interestingly, no significant associations were found between any of the administered measures, including the TCFES-SR total score, and the IRI-empathetic concern subscale (P > .05).
Discussion
These findings provide initial support for the psychometric properties of the TCFES-SR, including excellent internal consistency and the adequate association of its total score to established measures of interpersonal functioning. Contrary to the TCFES, the TCFES-SR was shown to best fit a unidimensional factor rather than a multidimensional measure of relationship functioning. However, the TCFES-SR was also shown to have strong convergent validity with multiple domains of relationship functioning, indicating that the measure of overall intimate partner relationship functioning encompasses a number of relational domains (ie, structure, autonomy, problem solving, affect regulation, and disagreement/conflict). Critically, the TCFES-SR is brief and was administered easily in our sample, providing utility as clinical tool to be used in time-sensitive outpatient settings.
A unidimensional factor has particular strength in providing a global portrait of perceived intimate partner relationship functioning, and mental health providers can administer the TCFES-SR to assess for overall perceptions of intimate partner relationship functioning rather than administering a number of measures focusing on specific interpersonal domains (eg, decision making processes or positive/negative attitudes towards one’s relationship). This allows for the quick assessment (ie, 5-10 minutes) of overall intimate partner relationship functioning rather than administration of multiple self-report measures which can be time-intensive and expensive. However, the TCFES-SR also is limited by a lack of nuanced understanding of perceptions of functioning specific to particular domains. For example, the TCFES-SR score cannot describe intimate partner functioning in the domain of problem solving. Therefore, brief screening tools need to be developed that assess multiple intimate partner relationship domains.
Importantly, overall intimate partner relationship functioning as measured by the TCFES-SR may not incorporate perceptions of relationship empathy, as the total score did not correlate with a measure of empathetic concern (ie, the IRI-empathetic concern subscale). As empathy was based on one item in the TCFES-SR vs 7 in the IRI-empathetic concern subscale, it is unclear if the TCFES-SR only captures a portion of the construct of empathy (ie, sensitivity to partner) vs the comprehensive assessment of trait empathy that the IRI subscale measures. Additionally, the IRI-empathetic concern subscale did not significantly correlate with any of the other administered measures of relationship functioning. Given the role of empathy in positive, healthy intimate partner relationships, future research should explore the role of empathetic concern among veterans with PTSD as it relates to overall (eg, TCFES-SR) and specific aspects of intimate partner relationship functioning.20
While the clinical applicability of the TCFES-SR requires further examination, this measure has a number of potential uses. Information captured quickly by the TCFES-SR may help to inform appropriate referral for treatment. For instance, veterans reporting low total scores on the TCFES-SR may indicate a need for a referral for intervention focused on improving overall relationship functioning (eg, Integrative Behavioral Couple Therapy).21,22 Measurement-based care (ie, tracking and discussing changes in symptoms during treatment using validated self-report measures) is now required by the Joint Commission as a standard of care,and has been shown to improve outcomes in couples therapy.23,24 As a brief self-report measure, the TCFES-SR may be able to facilitate measurement-based care and assist providers in tracking changes in overall relationship functioning over the course of treatment. However, the purpose of the current study was to validate the TCFES-SR and not to examine the utility of the TCFES-SR in clinical care; additional research is needed to determine standardized cutoff scores to indicate a need for clinical intervention.
Limitations
Several limitations should be noted. The current study only assessed perceived intimate partner relationship functioning from the perspective of the veteran, thus limiting implications as it pertains to the spouse/partner of the veteran. PTSD diagnosis was based on chart review rather than a psychodiagnostic measure (eg, Clinician Administered PTSD Scale); therefore, whether this diagnosis was current or in remission was unclear. Although our sample was adequate to conduct an exploratory factor analysis,the overall sample size was modest, and results should be considered preliminary with need for further replication.25 The sample was also primarily male, white or black, and non-Hispanic; therefore, results may not generalize to a more sociodemographically diverse population. Finally, given the focus of the study to develop a self-report measure, we did not compare the TCFES-SR to the original TCFES. Thus, further research examining the relationship between the TCFES-SR and TCFES may be needed to better understand overlap and potential incongruence in these measures, and to ascertain any differences in their factor structures.
Conclusion
This study is novel in that it adapted a comprehensive observational measure of relationship functioning to a self-report measure piloted among a sample of veterans with PTSD in an intimate partner relationship, a clinical population that remains largely understudied. Although findings are preliminary, the TCFES-SR was found to be a reliable and valid measure of overall intimate partner relationship functioning. Given the rapid administration of this self-report measure, the TCFES-SR may hold clinical utility as a screen of intimate partner relationship deficits in need of clinical intervention. Replication in a larger, more diverse sample is needed to further examine the generalizability and confirm psychometric properties of the TCFES-SR. Additionally, further understanding of the clinical utility of the TCFES-SR in treatment settings remains critical to promote the development and maintenance of healthy intimate partner relationships among veterans with PTSD. Finally, development of effective self-report measures of intimate partner relationship functioning, such as the TCFES-SR, may help to facilitate needed research to understand the effect of PTSD on establishing and maintaining healthy intimate partner relationships among veterans.
Acknowledgments
The current study was funded by the Timberlawn Psychiatric Research Foundation. This material is the result of work supported in part by the US Department of Veterans Affairs; the Rocky Mountain Mental Illness Research, Education and Clinical Center (MIRECC) for Suicide Prevention; Sierra Pacific MIRECC; and the Office of Academic Affiliations, Advanced Fellowship Program in Mental Illness Research and Treatment, Department of Veterans Affairs.
Although about 8.3% of the general adult civilian population will be diagnosed with posttraumatic stress disorder (PTSD) in their lifetime, rates of PTSD are even higher in the veteran population.1,2 PTSD is associated with a number of psychosocial consequences in veterans, including decreased intimate partner relationship functioning.3,4 For example, Cloitre and colleagues reported that PTSD is associated with difficulty with socializing, intimacy, responsibility, and control, all of which increase difficulties in intimate partner relationships.5 Similarly, researchers also have noted that traumatic experiences can affect an individual’s attachment style, resulting in progressive avoidance of interpersonal relationships, which can lead to marked difficulties in maintaining and beginning intimate partner relationships.6,7 Despite these known consequences of PTSD, as Dekel and Monson noted in a review,further research is still needed regarding the mechanisms by which trauma and PTSD result in decreased intimate partner relationship functioning among veterans.8 Nonetheless, as positive interpersonal relationships are associated with decreased PTSD symptom severity9,10 and increased engagement in PTSD treatment,11 determining methods of measuring intimate partner relationship functioning in veterans with PTSD is important to inform future research and aid the provision of care.
To date, limited research has examined the valid measurement of intimate partner relationship functioning among veterans with PTSD. Many existing measures that comprehensively assess intimate partner relationship functioning are time and resource intensive. One such measure, the Timberlawn Couple and Family Evaluation Scales (TCFES), comprehensively assesses multiple pertinent domains of intimate partner relationship functioning (ie, structure, autonomy, problem solving, affect regulation, and disagreement/conflict).12 By assessing multiple domains, the TCFES offers a method of understanding the specific components of an individual’s intimate partner relationship in need of increased clinical attention.12 However, the TCFES is a time- and labor-intensive observational measure that requires a couple to interact while a blinded, independent rater observes and rates their interactions using an intricate coding process. This survey structure precludes the ability to quickly and comprehensively assess a veteran’s intimate partner functioning in settings such as mental health outpatient clinics where mental health providers engage in brief, time-limited psychotherapy. As such, brief measures of intimate partner relationship functioning are needed to best inform clinical care among veterans with PTSD.
The primary aim of the current study was to create a psychometrically valid, yet brief, self-report version of the TCFES to assess multiple domains of intimate partner relationship functioning. The psychometric properties of this measure were assessed among a sample of US veterans with PTSD who were in an intimate partner relationship. We specifically examined factor structure, reliability, and associations to established measures of specific domains of relational functioning.
Methods
Ninety-four veterans were recruited via posted advertisements, promotion in PTSD therapy groups/staff meetings, and word of mouth at the Dallas Veterans Affairs Medical Center (VAMC). Participants were eligible if they had a documented diagnosis of PTSD as confirmed in the veteran’s electronic medical record and an affirmative response to currently being involved in an intimate partner relationship (ie, legally married, common-law spouse, involved in a relationship/partnership). There were no exclusion criteria.
Interested veterans were invited to complete several study-related self-report measures concerning their intimate partner relationships that would take about an hour. They were informed that the surveys were voluntary and confidential, and that they would be compensated for their participation. All veterans who participated provided written consent and the study was approved by the Dallas VAMC institutional review board.
Of the 94 veterans recruited, 3 veterans’ data were removed from current analyses after informed consent but before completing the surveys when they indicated they were not currently in a relationship or were divorced. After consent, the 91 participants were administered several study-related self-report measures. The measures took between 30 and 55 minutes to complete. Participants were then compensated $25 for their participation.
Intimate Partner Relationship Functioning
The 16-item TCFES self-report version (TCFES-SR) was developed to assess multiple domains of interpersonal functioning (Appendix). The observational TCFES assesses 5 intimate partner relationship characteristic domains (ie, structure, autonomy, problem solving, affect regulation, and disagreement/conflict) during a couple’s interaction by an independent trained rater.12 Each of the 16 TCFES-SR items were modeled after original constructs measured by the TCFES, including power, closeness, clarify, other’s views, responsibility, closure, negotiation, expressiveness, responsiveness, positive regard, negative regard, mood/tone, empathy, frequency, affective quality, and generalization and escalation. To maintain consistency with the TCFES, each item of the TCFES-SR was scored from 1 (severely dysfunctional) to 5 (highly functional). Additionally, all item wording for the TCFES-SR was based on wording in the TCFES manual after consultation with an expert who facilitated the development of the TCFES.12 On average, the TCFES-SR took 5 to 10 minutes to complete.
To measure concurrent validity of the modified TCFES-SR, several additional interpersonal measures were selected and administered based on prior research and established domains of the TCFES. The Positive and Negative Quality in Marriage Scale (PANQIMS) was administered to assess perceived attitudes toward a relationship.13,14 The PANQIMS generates 2 subscales: positive quality and negative quality in the relationship. Because the PANQIMS specifically assesses married relationships and our sample included married and nonmarried participants, wording was modified (eg, “spouse/partner”).
The relative power subscale of the Network Relationships Inventory–Relationship Qualities Version (NRI-RQV) measure was administered to assess the unequal/shared role romantic partners have in power equality (ie, relative power).15
The Revised Dyadic Adjustment Scale (RDAS) is a self-report measure that assesses multiple dimensions of marital adjustment and functioning.16 Six subscales of the RDAS were chosen based on items of the TCFES-SR: decision making, values, affection, conflict, activities, and discussion.
The Interpersonal Reactivity Index (IRI) empathetic concern subscale was administered to assess empathy across multiple contexts and situations17 and the Experiences in Close Relationships-Revised Questionnaire (ECR-R) was administered to assess relational functioning by determining attachment-related anxiety and avoidance.18
Sociodemographic Information
A sociodemographic questionnaire also was administered. The questionnaire assessed gender, age, education, service branch, length of interpersonal relationship, race, and ethnicity of the veteran as well as gender of the veteran’s partner.
Statistical Analysis
Factor structure of the TCFES-SR was determined by conducting an exploratory factor analysis. To allow for correlation between items, the Promax oblique rotation method was chosen.19 Number of factors was determined by agreement between number of eigenvalues ≥ 1, visual inspection of the scree plot, and a parallel analysis. Factor loadings of ≥ 0.3 were used to determine which items loaded on to which factors.
Convergent validity was assessed by conducting Pearson’s bivariate correlations between identified TCFES-SR factor(s) and other administered measures of interpersonal functioning (ie, PANQIMS positive and negative quality; NRI-RQV relative power subscale; RDAS decision making, values, affection, conflict, activities, and discussion subscales; IRI-empathetic concern subscale; and ECR-R attachment-related anxiety and avoidance subscales). Strength of relationship was determined based on the following guidelines: ± 0.3 to 0.49 = small, ± 0.5 to 0.69 = moderate, and ± 0.7 to 1.00 = large. Internal consistency was also determined for TCFES-SR factor(s) using Cronbach’s α. A standard level of significance (α=.05) was used for all statistical analyses.
Results
Eighty-six veterans provided complete data (Table 1). The Kaiser-Meyer-Olkin measure of sampling adequacy was indicative that sample size was adequate (.91), while Bartlett’s test of sphericity found the variables were suitable for structure detection, χ2 (120) = 800.00, P < .001. While 2 eigenvalues were ≥ 1, visual inspection of the scree plot and subsequent parallel analysis identified a unidimensional structure (ie, 1 factor) for the TCFES-SR. All items were found to load to this single factor, with all loadings being ≥ 0.5 (Table 2). Additionally, internal consistency was excellent for the scale (α = .93).
Pearson’s bivariate correlations were significant (P < .05) between TCFES-SR total score, and almost all administered interpersonal functioning measures (Table 3). Interestingly, no significant associations were found between any of the administered measures, including the TCFES-SR total score, and the IRI-empathetic concern subscale (P > .05).
Discussion
These findings provide initial support for the psychometric properties of the TCFES-SR, including excellent internal consistency and the adequate association of its total score to established measures of interpersonal functioning. Contrary to the TCFES, the TCFES-SR was shown to best fit a unidimensional factor rather than a multidimensional measure of relationship functioning. However, the TCFES-SR was also shown to have strong convergent validity with multiple domains of relationship functioning, indicating that the measure of overall intimate partner relationship functioning encompasses a number of relational domains (ie, structure, autonomy, problem solving, affect regulation, and disagreement/conflict). Critically, the TCFES-SR is brief and was administered easily in our sample, providing utility as clinical tool to be used in time-sensitive outpatient settings.
A unidimensional factor has particular strength in providing a global portrait of perceived intimate partner relationship functioning, and mental health providers can administer the TCFES-SR to assess for overall perceptions of intimate partner relationship functioning rather than administering a number of measures focusing on specific interpersonal domains (eg, decision making processes or positive/negative attitudes towards one’s relationship). This allows for the quick assessment (ie, 5-10 minutes) of overall intimate partner relationship functioning rather than administration of multiple self-report measures which can be time-intensive and expensive. However, the TCFES-SR also is limited by a lack of nuanced understanding of perceptions of functioning specific to particular domains. For example, the TCFES-SR score cannot describe intimate partner functioning in the domain of problem solving. Therefore, brief screening tools need to be developed that assess multiple intimate partner relationship domains.
Importantly, overall intimate partner relationship functioning as measured by the TCFES-SR may not incorporate perceptions of relationship empathy, as the total score did not correlate with a measure of empathetic concern (ie, the IRI-empathetic concern subscale). As empathy was based on one item in the TCFES-SR vs 7 in the IRI-empathetic concern subscale, it is unclear if the TCFES-SR only captures a portion of the construct of empathy (ie, sensitivity to partner) vs the comprehensive assessment of trait empathy that the IRI subscale measures. Additionally, the IRI-empathetic concern subscale did not significantly correlate with any of the other administered measures of relationship functioning. Given the role of empathy in positive, healthy intimate partner relationships, future research should explore the role of empathetic concern among veterans with PTSD as it relates to overall (eg, TCFES-SR) and specific aspects of intimate partner relationship functioning.20
While the clinical applicability of the TCFES-SR requires further examination, this measure has a number of potential uses. Information captured quickly by the TCFES-SR may help to inform appropriate referral for treatment. For instance, veterans reporting low total scores on the TCFES-SR may indicate a need for a referral for intervention focused on improving overall relationship functioning (eg, Integrative Behavioral Couple Therapy).21,22 Measurement-based care (ie, tracking and discussing changes in symptoms during treatment using validated self-report measures) is now required by the Joint Commission as a standard of care,and has been shown to improve outcomes in couples therapy.23,24 As a brief self-report measure, the TCFES-SR may be able to facilitate measurement-based care and assist providers in tracking changes in overall relationship functioning over the course of treatment. However, the purpose of the current study was to validate the TCFES-SR and not to examine the utility of the TCFES-SR in clinical care; additional research is needed to determine standardized cutoff scores to indicate a need for clinical intervention.
Limitations
Several limitations should be noted. The current study only assessed perceived intimate partner relationship functioning from the perspective of the veteran, thus limiting implications as it pertains to the spouse/partner of the veteran. PTSD diagnosis was based on chart review rather than a psychodiagnostic measure (eg, Clinician Administered PTSD Scale); therefore, whether this diagnosis was current or in remission was unclear. Although our sample was adequate to conduct an exploratory factor analysis,the overall sample size was modest, and results should be considered preliminary with need for further replication.25 The sample was also primarily male, white or black, and non-Hispanic; therefore, results may not generalize to a more sociodemographically diverse population. Finally, given the focus of the study to develop a self-report measure, we did not compare the TCFES-SR to the original TCFES. Thus, further research examining the relationship between the TCFES-SR and TCFES may be needed to better understand overlap and potential incongruence in these measures, and to ascertain any differences in their factor structures.
Conclusion
This study is novel in that it adapted a comprehensive observational measure of relationship functioning to a self-report measure piloted among a sample of veterans with PTSD in an intimate partner relationship, a clinical population that remains largely understudied. Although findings are preliminary, the TCFES-SR was found to be a reliable and valid measure of overall intimate partner relationship functioning. Given the rapid administration of this self-report measure, the TCFES-SR may hold clinical utility as a screen of intimate partner relationship deficits in need of clinical intervention. Replication in a larger, more diverse sample is needed to further examine the generalizability and confirm psychometric properties of the TCFES-SR. Additionally, further understanding of the clinical utility of the TCFES-SR in treatment settings remains critical to promote the development and maintenance of healthy intimate partner relationships among veterans with PTSD. Finally, development of effective self-report measures of intimate partner relationship functioning, such as the TCFES-SR, may help to facilitate needed research to understand the effect of PTSD on establishing and maintaining healthy intimate partner relationships among veterans.
Acknowledgments
The current study was funded by the Timberlawn Psychiatric Research Foundation. This material is the result of work supported in part by the US Department of Veterans Affairs; the Rocky Mountain Mental Illness Research, Education and Clinical Center (MIRECC) for Suicide Prevention; Sierra Pacific MIRECC; and the Office of Academic Affiliations, Advanced Fellowship Program in Mental Illness Research and Treatment, Department of Veterans Affairs.
1. Kilpatrick DG, Resnick HS, Milanak ME, Miller MW, Keyes KM, Friedman MJ. National estimates of exposure to traumatic events and PTSD prevalence using DSM-IV and DSM-5 criteria. J Trauma Stress. 2013;26(5):537-547.
2. Lehavot K, Goldberg SB, Chen JA, et al. Do trauma type, stressful life events, and social support explain women veterans’ high prevalence of PTSD? Soc Psychiatry Psychiatr Epidemiol. 2018;53(9):943-953.
3. Galovski T, Lyons JA. Psychological sequelae of combat violence: a review of the impact of PTSD on the veteran’s family and possible interventions. Aggress Violent Behav. 2004;9(5):477-501.
4. Ray SL, Vanstone M. The impact of PTSD on veterans’ family relationships: an interpretative phenomenological inquiry. Int J Nurs Stud. 2009;46(6):838-847.
5. Cloitre M, Miranda R, Stovall-McClough KC, Han H. Beyond PTSD: emotion regulation and interpersonal problems as predictors of functional impairment in survivors of childhood abuse. Behav Ther. 2005;36(2):119-124.
6. McFarlane AC, Bookless C. The effect of PTSD on interpersonal relationships: issues for emergency service works. Sex Relation Ther. 2001;16(3):261-267.
7. Itzhaky L, Stein JY, Levin Y, Solomon Z. Posttraumatic stress symptoms and marital adjustment among Israeli combat veterans: the role of loneliness and attachment. Psychol Trauma. 2017;9(6):655-662.
8. Dekel R, Monson CM. Military-related post-traumatic stress disorder and family relations: current knowledge and future directions. Aggress Violent Behav. 2010;15(4):303-309.
9. Allen ES, Rhoades GK, Stanley SM, Markman HJ. Hitting home: relationships between recent deployment, posttraumatic stress symptoms, and marital functioning for Army couples. J Fam Psychol. 2010;24(3):280-288.
10. Laffaye C, Cavella S, Drescher K, Rosen C. Relationships among PTSD symptoms, social support, and support source in veterans with chronic PTSD. J Trauma Stress. 2008;21(4):394-401.
11. Meis LA, Noorbaloochi S, Hagel Campbell EM, et al. Sticking it out in trauma-focused treatment for PTSD: it takes a village. J Consult Clin Psychol. 2019;87(3):246-256.
12. Lewis JM, Gossett JT, Housson MM, Owen MT. Timberlawn Couple and Family Evaluation Scales. Dallas, TX: Timberlawn Psychiatric Research Foundation; 1999.
13. Fincham FD, Linfield KJ. A new look at marital quality: can spouses feel positive and negative about their marriage? J Fam Psychol. 1997;11(4):489-502.
14. Kaplan KJ. On the ambivalence-indifference problem in attitude theory and measurement: a suggested modification of the semantic differential technique. Psychol Bull. 1972;77(5):361-372.
15. Buhrmester D, Furman W. The Network of Relationship Inventory: Relationship Qualities Version [unpublished measure]. University of Texas at Dallas; 2008.
16. Busby DM, Christensen C, Crane DR, Larson JH. A revision of the Dyadic Adjustment Scale for use with distressed and nondistressed couples: construct hierarchy and multidimensional scales. J Marital Fam Ther. 1995;21(3):289-308.
17. Davis MH. A multidimensional approach to individual differences in empathy. JSAS Catalog Sel Doc Psychol. 1980;10:85.
18. Fraley RC, Waller NG, Brennan KA. An item-response theory analysis of self-report measures of adult attachment. J Pers Soc Psychol. 2000;78(2):350-365.
19. Tabachnick BG, Fidell L. Using Multivariate Statistics. 6th ed. Boston, MA: Pearson; 2013.
20. Sautter FJ, Armelie AP, Glynn SM, Wielt DB. The development of a couple-based treatment for PTSD in returning veterans. Prof Psychol Res Pr. 2011;42(1):63-69.
21. Jacobson NS, Christensen A, Prince SE, Cordova J, Eldridge K. Integrative behavioral couple therapy: an acceptance-based, promising new treatment of couple discord. J Consult Clin Psychol. 2000;9(2):351-355.
22. Makin-Byrd K, Gifford E, McCutcheon S, Glynn S. Family and couples treatment for newly returning veterans. Prof Psychol Res Pr. 2011;42(1):47-55.
23. Peterson K, Anderson J, Bourne D. Evidence Brief: Use of Patient Reported Outcome Measures for Measurement Based Care in Mental Health Shared Decision Making. Washington, DC: Department of Veterans Affairs; 2018. https://www.ncbi.nlm.nih.gov/books/NBK536143. Accessed September 13, 2019.
24. Fortney JC, Unützer J, Wrenn G, et al. A tipping point for measurement-based care. Psychiatr Serv. 2017;68(2):179-188.
25. Costello AB, Osborne JW. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Pract Assess Res Eval. 2005;10(7):1-9.
1. Kilpatrick DG, Resnick HS, Milanak ME, Miller MW, Keyes KM, Friedman MJ. National estimates of exposure to traumatic events and PTSD prevalence using DSM-IV and DSM-5 criteria. J Trauma Stress. 2013;26(5):537-547.
2. Lehavot K, Goldberg SB, Chen JA, et al. Do trauma type, stressful life events, and social support explain women veterans’ high prevalence of PTSD? Soc Psychiatry Psychiatr Epidemiol. 2018;53(9):943-953.
3. Galovski T, Lyons JA. Psychological sequelae of combat violence: a review of the impact of PTSD on the veteran’s family and possible interventions. Aggress Violent Behav. 2004;9(5):477-501.
4. Ray SL, Vanstone M. The impact of PTSD on veterans’ family relationships: an interpretative phenomenological inquiry. Int J Nurs Stud. 2009;46(6):838-847.
5. Cloitre M, Miranda R, Stovall-McClough KC, Han H. Beyond PTSD: emotion regulation and interpersonal problems as predictors of functional impairment in survivors of childhood abuse. Behav Ther. 2005;36(2):119-124.
6. McFarlane AC, Bookless C. The effect of PTSD on interpersonal relationships: issues for emergency service works. Sex Relation Ther. 2001;16(3):261-267.
7. Itzhaky L, Stein JY, Levin Y, Solomon Z. Posttraumatic stress symptoms and marital adjustment among Israeli combat veterans: the role of loneliness and attachment. Psychol Trauma. 2017;9(6):655-662.
8. Dekel R, Monson CM. Military-related post-traumatic stress disorder and family relations: current knowledge and future directions. Aggress Violent Behav. 2010;15(4):303-309.
9. Allen ES, Rhoades GK, Stanley SM, Markman HJ. Hitting home: relationships between recent deployment, posttraumatic stress symptoms, and marital functioning for Army couples. J Fam Psychol. 2010;24(3):280-288.
10. Laffaye C, Cavella S, Drescher K, Rosen C. Relationships among PTSD symptoms, social support, and support source in veterans with chronic PTSD. J Trauma Stress. 2008;21(4):394-401.
11. Meis LA, Noorbaloochi S, Hagel Campbell EM, et al. Sticking it out in trauma-focused treatment for PTSD: it takes a village. J Consult Clin Psychol. 2019;87(3):246-256.
12. Lewis JM, Gossett JT, Housson MM, Owen MT. Timberlawn Couple and Family Evaluation Scales. Dallas, TX: Timberlawn Psychiatric Research Foundation; 1999.
13. Fincham FD, Linfield KJ. A new look at marital quality: can spouses feel positive and negative about their marriage? J Fam Psychol. 1997;11(4):489-502.
14. Kaplan KJ. On the ambivalence-indifference problem in attitude theory and measurement: a suggested modification of the semantic differential technique. Psychol Bull. 1972;77(5):361-372.
15. Buhrmester D, Furman W. The Network of Relationship Inventory: Relationship Qualities Version [unpublished measure]. University of Texas at Dallas; 2008.
16. Busby DM, Christensen C, Crane DR, Larson JH. A revision of the Dyadic Adjustment Scale for use with distressed and nondistressed couples: construct hierarchy and multidimensional scales. J Marital Fam Ther. 1995;21(3):289-308.
17. Davis MH. A multidimensional approach to individual differences in empathy. JSAS Catalog Sel Doc Psychol. 1980;10:85.
18. Fraley RC, Waller NG, Brennan KA. An item-response theory analysis of self-report measures of adult attachment. J Pers Soc Psychol. 2000;78(2):350-365.
19. Tabachnick BG, Fidell L. Using Multivariate Statistics. 6th ed. Boston, MA: Pearson; 2013.
20. Sautter FJ, Armelie AP, Glynn SM, Wielt DB. The development of a couple-based treatment for PTSD in returning veterans. Prof Psychol Res Pr. 2011;42(1):63-69.
21. Jacobson NS, Christensen A, Prince SE, Cordova J, Eldridge K. Integrative behavioral couple therapy: an acceptance-based, promising new treatment of couple discord. J Consult Clin Psychol. 2000;9(2):351-355.
22. Makin-Byrd K, Gifford E, McCutcheon S, Glynn S. Family and couples treatment for newly returning veterans. Prof Psychol Res Pr. 2011;42(1):47-55.
23. Peterson K, Anderson J, Bourne D. Evidence Brief: Use of Patient Reported Outcome Measures for Measurement Based Care in Mental Health Shared Decision Making. Washington, DC: Department of Veterans Affairs; 2018. https://www.ncbi.nlm.nih.gov/books/NBK536143. Accessed September 13, 2019.
24. Fortney JC, Unützer J, Wrenn G, et al. A tipping point for measurement-based care. Psychiatr Serv. 2017;68(2):179-188.
25. Costello AB, Osborne JW. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Pract Assess Res Eval. 2005;10(7):1-9.