After a review of bivariate regression and cross-tabular analysis, the course provides an extended treatment of the general linear model. Topics include model construction, interpretation of results, partitioning of variance, tests of statistical significance and interactions.
Outcomes: Students will be able to employ general linear models in original research and critically evaluate existing empirical research.
Outcomes: Students will be able to employ general linear models in original research and critically evaluate existing empirical research.