About
This is a course on multivariate statistics for doctoral-level students. The content of this course will include continued content on correlational and predictive statistics, including multivariate statistics. Students will learn how to select and compute statistics on the basis of a given statistic's purposes, the number of independent and dependent variables, and tests of relevant assumptions of given statistics. Included in the learning process are (1) the development of a decision-making framework for selecting statistical analyses; (2) hand computations, from results provided in computer outputs, that are a part of understanding and presenting multivariate statistical results; and, (3) furthering skills in using a comprehensive computer statistics package. Large data sets on actual research conducted in social science will be used for computer computations of statistics. In addition to assigned reading materials from the required textbook, students will have assigned readings from articles that describe the uses, computations, interpretations, and test assumptions of each multivariate statistic presented in this course.
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