Multiple Linear Regression: Strengthening Conceptual Knowledge and Practical Skills

Abstract:

Multiple linear regression (MLR) is one of the most useful and used methodological tools in the social sciences. This webinar will strengthen attendees’  conceptual knowledge and practical skills in MLR further through a series of topics presented: (a) relationships between descriptive statistics, visualization, and MLR; (b) conducting MLR with interaction and quadratic terms; (c) useful MLR reporting standards; and (d) MLR as the basis for path analysis, factor analysis (EFA, CFA, SEM), and multilevel modeling.

Readings

1. Farway, J. J., (2002). Practical regression and ANOVA using R.
2. Freedman, D. (1989). Statistical models and shoe leather. Mathematical Social Sciences, 18, 192-192.
3. Nimon, K., Oswald, F., & Roberts, J. K. (2013; 2020; 2021). yhat [Computer software and manual], Accessible from https://cran.r–project.org. Note: A package for the R statistics language and environment to interpret regression effects