- Schedule of Classes - January 28, 2022 7:27PM EST
- Course Catalog - January 28, 2022 7:14PM EST
Course information provided by the Courses of Study 2021-2022.
The goal of this course is to expose students to common data analysis methods used in social science research. Topics covered will include t-tests, one-way ANOVA, factorial ANOVA, regression, mediation, repeated-measures ANOVA, mixed models analysis, non-parametric tests, reliability theory, factor analysis, power, and meta-analysis. Students will learn how to conduct these analyses on statistical computing packages, how to choose the right analysis to answer a practical research question, and how to report the results of the analyses. This course is designed for doctoral students.
When Offered Fall.
Permission Note Enrollment limited to: graduate students.
Prerequisites/Corequisites Prerequisite: ILRST 5100 or comparable statistics.
Regular Academic Session.
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
- W Malott Hall 230
- Jan 24 - May 10, 2022
Instruction Mode: In Person
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