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. Other specific analysis techniques may also be explored. Given the advanced nature of the course, we will not shy away from using the mathematical tools needed to develop the conceptual understanding. But the emphasis of the course will be on the conceptual understanding and application of the tools rather than on the math or the mechanics behind the tools. This course can be repeated for up to 12 credit hours
Prerequisite(s):   Intermediate Statistics
Same as EPE 711
Syllabi (Requires Link Blue/MyUK credentials)
Fall 2019
  Section 401 - Xin Ma (Adobe Acrobat PDF)
  Section 402 - Xin Ma (Adobe Acrobat PDF)
Spring 2018
  Section 001 - Joseph Waddington (Adobe Acrobat PDF)
  Section 401 - Xin Ma (Adobe Acrobat PDF)
Spring 2017
  Section 001 - Joseph Waddington (Adobe Acrobat PDF)
Fall 2016
  Section 001 - Joseph J. Ferrare (Adobe Acrobat PDF)
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