MFHD
600
Multiple Regression Analysis
Hours
3.0 Credit, 3 Lecture, 0 Lab
Semester
Winter
Techniques and assumptions of regression models, data management, and analysis. Topics include ordinary least squares, binary, ordinal, and multiple logistic regression, and models for count variables.
Statistical Understanding
STudents will understand and utilize univariate, bivariate, and multivariate statistics commonly used in the social and behavioral sciences. Students will gain familiarity with Stata (a statistical programming package), how to organize and pursue a research project, and how to present results.
Quantitative Analysis
Students will conduct sophisticated analyses of quantitative data, including cleaning the data and checking the assumptions of each model. The course also focuses on the integrity of the research process to ensure the analysis meaningfully represents the data.