Summer Session 1 (May 16th through June 30th, 2022)
CEP-932 “Graduate Statistics, Part 1”
The course offers a coverage of introductory to intermediate topics of applied statistics, as relevant for Ph. D. level students at our College. Topics include data description, data exploration and graphing, introduction to probability, parameter estimation (incl. confidence interval construction), hypothesis testing and effect size evaluation, as well as introduction to regression analysis and to analysis of variance (incl. post-hoc/follow-up testing procedures). The course is instrumentally based on numerous applications of the package SPSS, as well as of the free software R, and uses routinely empirical data for illustration of the discussed statistical methods. The course is entirely application-oriented and aims to provide knowledge as well as skills for determining appropriate statistical methods in empirical studies, software application, and substantive interpretation of statistical analyses results. Textbook of the course is Raykov & Marcoulides (2012), Basic statistics: An introduction with R. The course is pre-requisite for several educational measurement courses as well as for follow-up applied statistics courses.
I will be very pleased to be your instructor in this course. If you have any questions about its contents, please feel free to contact me (at raykov@msu.edu).