- Schedule of Classes - June 2, 2019 7:14PM EDT
- Course Catalog - June 2, 2019 7:15PM EDT
Course information provided by the Courses of Study 2018-2019.
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 GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
- R Malott Hall 206
Disabled for this roster.