This site will include tutorials for performing all quantitative analyses (in R/Rstudio) for the course.
This site will NOT be a substitute for the more technical and conceptual aspects of quantitative research methods (which are covered in assigned readings).
This site WILL show you how to do each analysis in R (and provide a small amount of commentary).
Tutorial 1: Getting Started with R
Tutorial 2: Getting Started with Data Visualization
Tutorial 3: Loading Data, More Visualization
Tutorial 4: Assumptions, Significance, and Effect Size
Tutorial 5: More Practice with Assumptions, Significance, and Effect Size
Tutorial 8: Multiple Linear Regression
Tutorial 9: Introduction to Differences between Two Independent Samples
Tutorial 10: Introduction to Differences between Two Paired Samples
Tutorial 11: Introduction to Differences between Three or More Independent Samples
Tutorial 12: Factorial Designs
Tutorial 13: Repeated Measures ANOVA
Tutorial 14: Linear Mixed Effects Models
Tutorial 15: Discriminant Function Analysis
Tutorial 16: Logistic Regression