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5606 Quantitative Analysis II : Multivariate Data Analysis (3) This graduate level statistics course for students in the behavioral science and education provides a strong conceptual understanding of advanced topics in regression (interaction effects, logistic regression, path analysis) and various multvariate techniques (MANOVA, canonical correlation, factor analysis). Students will complete a series of data based projects that allow them to demonstrate their skills in analysis, reporting, and interpretation of findings. Prerequisites: EDRP 5605/PSY5516 and basic knowledge of and SPSS OR SAS software and research design (EDRP 5505, PSY302). Cross-listed: Psych 5517 Offered: Winter.
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