This course is the second in a two-semester sequence on research methods and statistics in the behavioral sciences. Students will learn how to analyze data using multiple regression, analysis of variance, factor analysis, principal component analysis, and multi-level linear modeling. Students will also gain proficiency with the R programming language and software environment for statistical computing. Each student will carry out a research project and prepare a formal report that comports with the guidelines from the American Psychological Association.
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