- Schedule of Classes - June 25, 2020 7:14PM EDT
- Course Catalog - June 25, 2020 7:15PM EDT
Course information provided by the Courses of Study 2019-2020.
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 Spring.
Permission Note Enrollment limited to: graduate students only.
Prerequisites/Corequisites Prerequisite: ILRST 5100 or comparable statistics.
Regular Academic Session.
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
Class Number & Section Details
- WIves Hall 107
- Jan 21 - May 5, 2020
Instruction Mode: Hybrid - Online & In Person
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