EDB 9100 Analyzing Quantitative Research Data
Credit Hours 3.0
Description

This course begins with a review of univariate and bivariate statistics (T test, ANOVA, correlation, and simple regression). The student is introduced to multivariate regression analysis including issues of collinearity, mediation and moderation effects (using interaction terms and dummy variables). Advanced techniques such as structural equation modeling and partial least squares are introduced. The goals of the course are to: (1) generate a conceptual understanding of the assumptions underlying the use of regression-based techniques, (2) provide guidelines for when particular techniques would be applicable or inapplicable, and (3) develop the knowledge of how to conduct the analysis and interpret the results.