EDU 736 - Advanced Quantitative Methods

Picking up where Introduction to Quantitative Methods left off, this course will advance students’ basic quantitative statistical skills by introducing and taking deeper dives into advanced quantitative methods that are widely used by researchers in educational and social science settings. The goals of the course are for students to understand and apply sophisticated statistical techniques to formulate and test relevant research hypotheses; conduct rigorous data analysis; interpret results; and report and present research findings. Emphasis will be placed on critical thinking about causal inferences and making appropriate linkages between advanced quantitative analysis methods and their appropriateness to be used in different research designs. Students will engage the following types of advanced statistical analyses: factorial analysis of variance (ANOVA), analysis of covariance (ANCOVA), multivariate analysis of variance and covariance (MANOVA, MANCOVA), logistic regression, multiple regression, and hierarchical linear modelling (HLM). Students will be introduced to path, factor and discriminant analysis. The assignments in the course will allow students to practice their learnings, self-assess progress, and demonstrate knowledge and application of advanced statistical concepts. Discussion Board assignments will allow students to engage in peer learning and peer-to-peer feedback. The midterm presentation will allow students the opportunity for students to present research findings to a small audience. The final paper will allow students to apply advanced statistical concepts, evaluate results, and make recommendations to solve real-world educational leadership and higher education problems.

Prerequisites & Notes
EDL735

(Cr: 3