References
- American Council on Education. (2009). Military service members and veterans in higher education: What the new GI Bill may mean for postsecondary institutions. https://www.acenet.edu/news-room/Documents/Military-Service-Members-and-Veterans-in-Higher-Education.pdf
- Baldwin, D. R., Towler, K., Oliver, M. D., & Datta, S. (2017). An examination of college student wellness: A research and liberal arts perspective. Health Psychology Open, 4(2), 1–9. https://doi.org/10.1177/2055102917719563
- Barry, A. E., Whiteman, S. D., & MacDermid Wadsworth, S. (2014). Student service members/veterans in higher education: A systematic review. Journal of Student Affairs Research and Practice, 51(1), 30–42. https://doi.org/10.1515/jsarp-2014-0003
- Barry, A. E., Whiteman, S. D., & MacDermid Wadsworth, S. M. (2012). Implications of posttraumatic stress among military-affiliated and civilian students. Journal of American College Health, 60(8), 562–573. https://doi.org/10.1080/07448481.2012.721427
- Beck, A. T., Ward, C. H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4(6), 561–571. https://doi.org/10.1001/archpsyc.1961.01710120031004
- Blosnich, J. R., Kopacz, M. S., McCarten, J., & Bossarte, R. M. (2015). Mental health and self-directed violence among student service members/veterans in postsecondary education. Journal of American College Health, 63(7), 418–426. https://doi.org/10.1080/07448481.2014.931282
- Borsari, B., Yurasek, A., Miller, M. B., Murphy, J. G., McDevitt-Murphy, M. E., Martens, M. P., Darcy, M. G., & Carey, K. B. (2017). Student service members/veterans on campus: Challenges for reintegration. American Journal of Orthopsychiatry, 87(2), 166–175. https://doi.org/10.1037/ort0000199
- Brener, N. D., Hassan, S. S., & Barrios, L. C. (1999). Suicidal ideation among college students in the United States. Journal of Consulting and Clinical Psychology, 67(6), 1004–1008. https://doi.org/10.1037/0022-006X.67.6.1004
- Byrne, B. M., Shavelson, R. J., & Muthén, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105(3), 456–466. https://doi.org/10.1037/0033-2909.105.3.456
- Campbell, R., & Riggs, S. A. (2015). The role of psychological symptomatology and social support in the academic adjustment of previously deployed student veterans. Journal of American College Health, 63(7), 473–481. https://doi.org/10.1080/07448481.2015.1040408
- Center for Collegiate Mental Health. (2009). 2009 pilot study: Executive summary (Publication No, STA 09-160). Center for Collegiate Mental Health.
- Center for Collegiate Mental Health. (2016). 2015 annual report (Publication No. STA 15-108). https://files.eric.ed.gov/fulltext/ED572760.pdf
- Center for Collegiate Mental Health. (2017). 2016 annual report (Publication No. STA 17-74). Center for Collegiate Mental Health.
- Center for Collegiate Mental Health. (2019). 2018 annual report (Publication No. STA 19-180). Center for Collegiate Mental Health.
- Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5
- Church, T. E. (2009). Returning veterans on campus with war related injuries and the long road back home. Journal of Postsecondary Education and Disability, 22(1), 43–52.
- DiRamio, D., Ackerman, R., & Mitchell, R. (2008). From combat to campus: Voices of student-veterans. NASPA Journal, 45(1), 73–102. https://doi.org/10.2202/1949-6605.1908
- Elliott, M., Gonzalez, C., & Larsen, B. (2011). US military veterans transition to college: Combat, PTSD, and alienation on campus. Journal of Student Affairs Research and Practice, 48(3), 279–296. https://doi.org/10.2202/1949-6605.6293
- Gallagher, R. P. (2007). National Survey of Counseling Center Directors 2006. Project Report. The International Association of Counseling Services (IACS). http://www.collegecounseling.org/pdf/2006_survey.pdf
- Ghosh, A., & Fouad, N. A. (2016). Career transitions of student veterans. Journal of Career Assessment, 24(1), 99–111. https://doi.org/10.1177/1069072714568752
- Ghosh, A., & Fouad, N. A. (2018). Career adaptability and occupational engagement of student veterans. The Career Development Quarterly, 66(2), 182–188. https://doi.org/10.1002/cdq.12132
- Grossman, P. (2009). Foreword with a challenge: Leading our campuses away from the perfect storm. Journal of Postsecondary Education and Disability, 22(1), 4–9.
- Holgado-Tello, F. P., Chacon-Moscoso, S., Barbero-Garcia, I., & Villa-Abad, E. (2010). Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables. Quality and Quantity, 44, 153–166. https://doi.org/10.1007/s11135-008-9190-y
- IBM Corp. (2015). Released IBM SPSS statistics for windows, version 23.0. IBM Corp.
- Johnson, M. C., Graceffo, J. M., Hayes, J. A., & Locke, B. D. (2014). Examining treatment-seeking college students with and without military experience and trauma histories. Journal of College Counseling, 17(3), 260–270. https://doi.org/10.1002/j.2161-1882.2014.00062.x
- Kang, Y., McNeish, D. M., & Hancock, G. R. (2016). The role of measurement quality on practical guidelines for assessing measurement and structural invariance. Educational and Psychological Measurement, 76(4), 533–561. https://doi.org/10.1177%2F0013164415603764
- Kenny, D. A., & McCoach, D. B. (2003). Effect of the number of variables on measures of fit in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 10(3), 333–351. https://doi.org/10.1207/S15328007SEM1003_1
- Kero, P., & Lee, D. (2016). Likert is pronounced “lick-urt” not “lie-Kurt” and data are ordinal not interval. Journal of Applied Measurement, 17, 502–509.
- Little, T. D. (2003). Longitudinal structural equation model. Guilford Press.
- Locke, B. D., Buzolitz, J. S., Lei, P.-W., Boswell, J. F., McAleavey, A. A., Sevig, T. D., Dowis, J. D., & Hayes, J. A. (2011). Development of counseling center assessment of psychological symptoms 62 (CCAPS-62). Journal of Counseling Psychology, 58(1), 97–109. https://doi.org/10.1037/a0021282
- Locke, B. D., McAleavey, A. A., Zhao, Y., Lei, P. W., Hayes, J. A., Castonguay, L. G., Li, H., Tate, R., & Lin, Y. C. (2012). Development and initial validation of the Counseling Center Assessment of Psychological Symptoms-34 (CCAPS-34). Measurement and Evaluation in Counseling and Development, 45(3), 151–169. https://doi.org/10.1177/0748175611432642
- Meade, A. W., Johnson, E. C., & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592. https://doi.org/10.1037/0021-9010.93.3.568
- Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. https://doi.org/10.1007/BF02294825
- Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50(9), 741–749. https://doi.org/10.1002/j.2333-8504.1994.tb01618.x
- Molina, D., & Morse, A. (2015). Military-connected undergraduates: Exploring differences between National Guard, reserve, active duty, and veterans in higher education. American Council on Education and NASPA - Student Affairs Administrators in Higher Education.
- Muthén, L. K., & Muthén, B. O. (1998–2004). Mplus user’s guide (3rd ed.). Muthén & Muthén.
- Mysliwiec, V., McGraw, L., Pierce, R., Smith, P., Trapp, B., & Roth, B. J. (2013). Sleep disorders and associated medical comorbidities in active duty military personnel. Sleep, 36(2), 167–174. https://doi.org/10.5665/sleep.2364
- Nelson, K. M., Starkebaum, G. A., & Reiber, G. E. (2007). Veterans using and uninsured Veterans not using Veterans Affairs (VA) health care. Public Health Reports, 122(1), 93–100. https://doi.org/10.1177%2F003335490712200113
- Norman, G. (2010). Likert scales, levels of measurement and the ‘‘laws’’ of statistics. Advances in Health Sciences Education, 15(5), 625–632. https://doi.org/10.1177%2F003335490712200113
- Papdimitriou, G. N., & Linkowski, P. (2005). Sleep disturbance in anxiety disorders. International Review of Psychiatry, 17(4), 229–236. https://doi.org/10.1080/09540260500104524
- Pérez-Rojas, A. E., Lockard, A. J., Bartholomew, T. T., Janis, R. A., Carney, D. M., Xiao, H., Youn, S. J., Scofield, B. E., Locke, B. D., Castonguay, L. G., & Hayes, J. A. (2017). Presenting concerns in counseling centers: The view from clinicians on the ground. Psychological Services, 14(4), 416–427. https://doi.org/10.1037/ser0000122
- Pietrzak, R. H., Johnson, D. C., Goldstein, M. B., Malley, J. C., & Southwick, S. M. (2009). Perceived stigma and barriers to mental health care utilization among OEF-OIF veterans. Psychiatric Services, 60(8), 1118–1122. https://doi.org/10.1176/ps.2009.60.8.1118
- Preacher, K. J. (2001, April). Calculation for the chi-square test: An interactive calculation tool for chi-square tests of goodness of fit and independence [Computer software]. http://quantpsy.org/
- Sass, D. A., Schmitt, T. A., & Marsh, H. W. (2014). Evaluating model fit with ordered categorical data within a measurement invariance framework: A comparison of estimators. Structural Equation Modeling: A Multidisciplinary Journal, 21(2), 167–180. https://doi.org/10.1080/10705511.2014.882658
- Satorra, A., & Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66(4), 507–514. https://doi.org/10.1007/BF02296192
- Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8, 23–74.
- Shi, D., Song, H., & Lewis, M. D. (2017). The impact of partial factorial invariance on cross group comparisons. Assessment, 26(7), 1217–1233. https://doi.org/10.1177/1073191117711020
- Thelin, J. R. (2004). A history of American higher education. Johns Hopkins University Press.
- U.S. Department of Education. (2015). A profile of military undergraduates: 2011–12. https://nces.ed.gov/pubs2016/2016415.pdf
- U.S. Department of Veterans Affairs. (2015). Post-9/11 GI Bill (Chapter 33). https://www.va.gov/education/about-gi-bill-benefits/post-9-11/
- Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. https://doi.org/10.1177%2F109442810031002
- Widaman, K. F., Early, D. R., & Conger, R. D. (2013). Special populations. In T. Little (Ed.), The Oxford handbook of quantitative methods, volume 1: Foundations (pp. 55–81). Oxford University Press.
- Widaman, K. F., & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle, & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). American Psychological Association. https://doi.org/10.1037/10222-009
- Widome, R., Laska, M. N., Gulden, A., Fu, S. S., & Lust, K. (2011). Health risk behaviors of Afghanistan and Iraq war veterans attending college. American Journal of Health Promotion, 26(2), 101–108. https://doi.org/10.4278%2Fajhp.090826-QUAN-278