References
Breen, R., Karlson, K. B., & Holm, A. (2013). Total, direct, and
indirect effects in logit and probit models. Sociological Methods
& Research, 42(2), 164–191. https://doi.org/10.1177/0049124113494572
Chapman, D. A., & Lickel, B. (2016). Climate change and disasters:
How framing affects justifications for giving or withholding aid to
disaster victims. Social Psychological and Personality Science,
7(1), 13–20.
Hayes, A. F. (2017). Introduction to mediation, moderation, and
conditional process analysis: A regression-based approach. Guilford
publications.
Hayes, A. F., & Preacher, K. J. (2014). Statistical mediation
analysis with a multicategorical independent variable. The British
Journal of Mathematical and Statistical Psychology, 67(3),
451–470. https://doi.org/10.1111/bmsp.12028
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in
covariance structure analysis: Conventional criteria versus new
alternatives. Structural Equation Modeling: A Multidisciplinary
Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Johnson, P. O., & Neyman, J. (1936). Tests of certain linear
hypotheses and their application to some educational problems.
Statistical Research Memoirs.
Kenny, K., & Kaniskan, B. (2014). The performance of RMSEA in models
with small degrees of freedom. Sociological Methods &
Research, 8(1), 100–114.
Lemardelet, L., & Caron, P.-O. (2022). Illustrations of serial
mediation using PROCESS, mplus and r. The Quantitative Methods for
Psychology, 18(1), 66–90.
Muller, D., Judd, C. M., & Yzerbyt, V. Y. (2005). When moderation is
mediated and mediation is moderated. Journal of Personality and
Social Psychology, 89(6), 852.
Olvera Astivia, O. L., & Kroc, E. (2019). Centering in multiple
regression does not always reduce multicollinearity: How to tell when
your estimates will not benefit from centering. Educational and
Psychological Measurement, 79(5), 813–826.
Rogosa, D. (1980). A critique of cross-lagged correlation.
Psychological Bulletin, 88(2), 245.
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect
effects in structural equation models. Sociological
Methodology, 13, 290–312.
Tal-Or, N., Cohen, J., Tsfati, Y., & Gunther, A. C. (2010). Testing
causal direction in the influence of presumed media influence.
Communication Research, 37(6), 801–824.
Wen, Z., & Liu, H. (2020). Mediation effect and moderation
effect: Method and application. Educational Science Publishing
House.