ORG 6610: Quantitative Methods in Research II: Correlation and Regression (2023-2024)

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Correlational and regression statistics utilizing ordinary least squares with coverage of continuous and categorical variables, interaction effects, non-linear effects, dichotomous outcomes, and conditional process analysis. Each statistical approach taught includes considerations of the typical workflow, underlying formulae, statistical assumptions, power analysis, and reporting the results to scientific and non-scientific audiences. Utilizes R, R Studio, and R packages for statistical analysis. Typically offered: Winter.