- Schedule of Classes - January 19, 2016 6:14PM EST
- Course Catalog - January 19, 2016 6:21PM EST
Course information provided by the Courses of Study 2015-2016.
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 lmited to: graduate students only.
Prerequisites/Corequisites Prerequisite: ILRST 5100 or comparable statistics.
Regular Academic Session.
Credits and Grading Basis
3 Credits GradeNoAud(Graded(GRI))
Class Number & Section Details
- R Ives Hall 181
Disabled for this roster.