The activity below corresponds to chapter 11 in Advancing Culturally Responsive Research and Researchers. In this chapter, the authors focus on the regression analysis, which is one of the most widely used quantitative analytical methods in social science research. Specifically, they focus on how we can use regression analysis for examining the potential heterogeneity in the effects of predictors on an outcome, instead of totalizing the effects across all populations. It is particularly useful for culturally responsive research, which has a great interest in discovering the heterogeneous groups that are often understudied.
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See the activity description here.
See the example data and input for the mixture models here.
See the answer sheet here.
Citation: Kim, M., & Yang, J. (2022). Detecting differential effects using regression mixture models: Applications using Mplus. In P. A. Pasque & e. alexander (Eds), Advancing culturally responsive research and researchers. Routledge.