Covers ANOVA, mediation, and moderation analyses in R for CS-411 Digital Education.
Covers the basics of experimental design and analysis, focusing on statistical techniques like ANOVA, regression, mediation, and moderation.
Covers the basics of linear regression, instrumental variables, heteroskedasticity, autocorrelation, and Maximum Likelihood Estimation.
Covers the basics of linear regression, OLS method, predicted values, residuals, matrix notation, goodness-of-fit, hypothesis testing, and confidence intervals.
Covers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.
