Longitudinal Measurement Invariance of CCAPS-34 Scores with a Large University Sample

References

• Bickman, L., Kelley, S. D., Breda, C., de Andrade, A. R., & Riemer, M. (2011). Effects of routine feedback to clinicians on mental health outcomes of youths: Results of a randomized trial. Psychiatric Services, 62(12), 1423–1429. https://doi.org/10.1176/appi.ps.002052011
   PubMed Web of Science ®Google Scholar
• Center for Collegiate Mental Health (CCMH). (2015). CCAPS user manual. Author.
   Google Scholar
• Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464–504. https://doi.org/10.1080/10705510701301834
   Web of Science ®Google Scholar
• Cline, J. I., Larsen, R. A., Griner, D., Beecher, M. E., Allen, G. E. K., Lee, C.-T., Lefrandt, J. B., & Worthen, V. (2022). Ethnoracial comparisons in anxiety and depression outcomes among Native Hawaiian and Pacific Islander college students. Journal of Multicultural Counseling and Development, 1–10. https://doi.org/10.1002/jmcd.12254
   Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Academic Press.
   Google Scholar
• Crowne, D. P., & Marlowe, D. (1960). A new scale of social desirability independent of psychopathology. Journal of Consulting Psychology, 24(4), 349–354. https://doi.org/10.1037/h0047358
   PubMedGoogle Scholar
• Deng, L., & Chan, W. (2017). Testing the difference between reliability coefficients alpha and omega. Educational and Psychological Measurement, 77(2), 185–203. https://doi.org/10.1177/0013164416658325
   PubMed Web of Science ®Google Scholar
• Dimitrov, D. M. (2010). Testing for factorial invariance in the context of construct validation. Measurement and Evaluation in Counseling and Development, 43(2), 121–149. https://doi.org/10.1177/0748175610373459
   Web of Science ®Google Scholar
• Dimitrov, D. M. (2011). Statistical methods for validation of assessment scale data in counseling and related fields. American Counseling Association.
   Google Scholar
• Erford, B. T. (2021). Assessment for counselors. Pearson.
   Google Scholar
• Ghosh, A., Niileksela, C. R., Parham, A., & Janis, R. A. (2021). Investigating factorial invariance of the counseling center assessment of psychological symptoms – 34 (CCAPS-34) with military and nonmilitary students. Measurement and Evaluation in Counseling and Development, 54(1), 42–55. https://doi.org/10.1080/07481756.2020.1745649
   Web of Science ®Google Scholar
• Han, K., Colarelli, S. M., & Weed, N. C. (2019). Methodological and statistical advances in the consideration of cultural diversity in assessment: A critical review of group classification and measurement invariance testing. Psychological Assessment, 31(12), 1481–1496. https://doi.org/10.1037/pas0000731
   PubMed Web of Science ®Google Scholar
• McAleavey, A. A., Castonguay, L. G., Hayes, J. A., & Locke, B. D. (2020). Multilevel versus single-level factor analysis: Differentiating within-person and between-person variability using the CCAPS-34. Journal of Consulting and Clinical Psychology, 88(10), 907–922. https://doi.org/10.1037/ccp0000529
   PubMed Web of Science ®Google Scholar
• Millsap, R. (2011). Statistical approaches to measurement invariance. Routledge.
   Google Scholar
• Millsap, R. E., & Cham, H. (2012). Investigating factorial invariance in longitudinal data. In B. Laursen, T. D. Little, & N. A. Card (Eds.), Handbook of developmental research methods (pp. 109–126). The Guilford Press.
   Google Scholar
• Muthen, L. K., & Muthen, B. O. (2023). Mplus user’s guide: Statistical analysis with latent variables (version 8.9). Muthen & Muthen.
   Google Scholar
• Roesch, S. C., Norman, G. J., Merz, E. L., Sallis, J. F., & Patrick, K. (2013). Longitudinal measurement invariance of psychosocial measures in physical activity research: An application to adolescent data. Journal of Applied Social Psychology, 43(4), 721–729. https://doi.org/10.1111/jasp.12000
   PubMed Web of Science ®Google Scholar
• Sherman, M. F., Sriken, J., Erford, B. T., Smith, H. L., MacInerney, E., Niarhos, F., & Kipper-Smith, A. (2021). Psychometric analysis of CCAPS-34 scores with a large university sample. Measurement and Evaluation in Counseling and Development, 54(4), 219–232. https://doi.org/10.1080/07481756.2020.1843971
   Web of Science ®Google Scholar
• Smith, H. A., Sherman, M. F., Sriken, J., Erford, B. T., Kipper-Smith, A., & Niarhos, F. (in press) Testing for measurement invariance of CCAPS-34 scores including self-identified gender and race with a large university sample. Journal of Mental Health Counseling.
   Google Scholar
• Tennant, A., & Pallant, J. F. (2012). The root mean square error of approximation (RMSEA) as a Supplementary statistic to determine fit to the Rasch model with large sample sizes. Rasch Measurement Transactions, 25(4), 1348–1349.
   Google Scholar
• Vandenberg, R. J. (2002). Toward a further understanding of and improvement in measurement invariance methods and procedures. Organizational Research Methods, 5(2), 139–158. https://doi.org/10.1177/1094428102005002001
   Web of Science ®Google Scholar
• Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations of organizational research. Organizational Research Methods, 3(1), 4–70. https://doi.org/10.1177/109442810031002
   Web of Science ®Google Scholar
• Yoon, S., Nevins, C. M., Peckham, A. D., & Pinder-Amaker, S. L. (2022). Factor structure of the counseling center assessment of psychological symptoms (CCAPS): Comparisons across college students in inpatient and outpatient settings. Psychiatry Research, 310, 114464. https://doi.org/10.1016/j.psychres.2022.114464
   PubMed Web of Science ®Google Scholar