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Multivariate Analysis In Educational Research

Multivariate statistics will prepare students to understand multivariate statistical methods and draw the link between statistics previously learned. Students will be able to conduct, interpret, and critique procedures such as factorial ANOVA, multiple regression, MANOVA, ANCOVA, MANCOVA, PCA, EFA, discriminant function analysis, logistic, regression, canonical correlation, hierarchical linear regression, and multivariate analysis of change. Become familiar with statistical software for implementing multivariate procedures.

Advanced Quantitative Methods: (Subtitle Required)

This course will provide students with an overview of the theory and applications of advanced quantitative methods. A quantitative research method focuses on advanced quantitative methodologies used in methodologically-oriented studies in educational research, evaluation, and statistics. The goal of this course is to prepare students to analyze data using advanced quantitative methods. It covers topics in the areas of multilevel modeling, data mining, missing data, categorical data analysis, meta-analysis, and longitudinal data analysis.

Doctoral Research Seminar

This seminar provides structure for working with faculty advisors and peer colleagues to cultivate the research skills needed to create new knowledge related to research questions that are important to the fields of counseling psychology, educational psychology, school psychology, and quantitative and psychometric methods, and to the mission of social justice.

Dissertation Residency Credit

Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.

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