References

Bell, B. A., Morgan, G. B., Schoeneberger, J. A., Kromrey, J. D., & Ferron, J. M. (2014). How low can you go? An investigation of the influence of sample size and model complexity on point and interval estimates in two-level linear models. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 10(1), 1–11. https://doi.org/10.1027/1614-2241/a000062

Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models: Applications and data analysis methods. Sage Publications, Inc. https://ezproxy.spu.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&AuthType=ip&db=psyh&AN=1992-97494-000&site=ehost-live

Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). Routledge. http://ebookcentral.proquest.com/lib/spu/detail.action?docID=4556523

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). LErlbaum Associates.

Cumming, G. (2014). The New Statistics: Why and How. Psychological Science, 25(1), 7–29. https://doi.org/10.1177/0956797613504966

Enders, C. K., & Tofighi, D. (2007). Centering predictor variables in cross-sectional multilevel models: A new look at an old issue. Psychological Methods, 12(2), 121–138. https://doi.org/10.1037/1082-989X.12.2.121

Field, A. P. (2012). Discovering statistics using R. Sage.

Gladwell, M. (2008). Outliers: The story of success (First edition.). Little, Brown; Company.

Green, S. B., & Salkind, N. J. (2014). Using SPSS for Windows and Macintosh: Analyzing and understanding data (Seventh edition.). Pearson.

Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition: A Regression-Based Approach. Guilford Publications. http://ebookcentral.proquest.com/lib/spu/detail.action?docID=5109647

Herek, G. M. (1994). Assessing heterosexuals’ attitudes toward lesbians and gay men: A review of empirical research with the ATLG scale. In B. Greene & G. M. Herek (Eds.), Lesbian and gay psychology: Theory, research, and clinical applications. (pp. 206–228). Sage Publications, Inc. https://doi.org/10.4135/9781483326757.n11

Jhangiani, R. S., Chiang, I.-C. A., Cuttler, C., & Leighton, D. C. (2019). Research Methods in Psychology. https://doi.org/10.17605/OSF.IO/HF7DQ

Joreskog, K. G. (1993). Testing structural equation models. In K. A. Bollen & J. S. Long (Eds.), Testing Structural Equation Models. SAGE.

Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Publications. http://ebookcentral.proquest.com/lib/spu/detail.action?docID=4000663

Koenig, H. G., & Büssing, A. (2010). The Duke University Religion Index (DUREL): A Five-Item Measure for Use in Epidemological Studies. Religions, 1(1), 78–85. https://doi.org/10.3390/rel1010078

Lefevor, G. T., Janis, R. A., & Park, S. Y. (2017). Religious and Sexual Identities: An Intersectional, Longitudinal Examination of Change in Therapy. The Counseling Psychologist, 45(3), 387–413. https://doi.org/10.1177/0011000017702721

Lefevor, G. T., Paiz, J. Y., Stone, W.-M., Huynh, K. D., Virk, H. E., Sorrell, S. A., & Gage, S. E. (2020). Homonegativity and the Black Church: Is Congregational Variation the Missing Link? The Counseling Psychologist, 48(6), 826–851. https://doi.org/10.1177/0011000020918558

Lewis, J. A., Williams, M. G., Peppers, E. J., & Gadson, C. A. (2017). Applying intersectionality to explore the relations between gendered racism and health among Black women. Journal of Counseling Psychology, 64(5), 475–486. https://doi.org/10.1037/cou0000231

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. Measurement and Evaluation in Counseling and Development, 45(3), 151–169. https://doi.org/10.1177/0748175611432642

Mallinckrodt, B., Miles, J. R., & Levy, J. J. (2014). The scientist-practitioner-advocate model: Addressing contemporary training needs for social justice advocacy. Training and Education in Professional Psychology, 8(4), 303–311. https://doi.org/10.1037/tep0000045

McCoach, D. B. (2010). Hierarchical linear modeling. In G. R. Hancock, R. O’Mueller, & L. M. Stapleton (Eds.), The reviewer’s guide to quantitative methods in the social sciences (pp. 123–140). Routledge.

Muldoon, A. (2018). Simulate! Simulate! - Part 2: A linear mixed model. In Very statisticious. https://aosmith.rbind.io/2018/04/23/simulate-simulate-part-2/

Newsom, J. (2019). Centering in Multilevel Regression. Psy 526/6126Multilevel Regression. http://web.pdx.edu/~newsomj/mlrclass/ho_centering.pdf

O’Connell, A. A., Logan, J. A. R., Pentimonti, J. M., & McCoach, D. B. (2013). Linear and quadratic growth models for continuous and dichotomous outcomes. In Y. Petscher, C. Schatschneider, & D. L. Compton (Eds.), Applied quantitative analysis in education and the social sciences. Taylor & Francis Group. http://ebookcentral.proquest.com/lib/spu/detail.action?docID=1143716

Singer, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurence. Oxford University Press, Incorporated. http://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=3054153