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Courses - Spring 2022
CHSE
Counseling, Higher Education, and Special Education
CHSE675
Applied Meta-Analysis
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Graduate level statistics course covering the generalized linear model.
Meta-analysis is a set of statistical procedures for aggregating, analyzing, and synthesizing information from multiple quantitative research studies. We will cover the major steps involved in conducting a systematic review and meta-analysis. We will focus on technical issues and analyses unique to this form of quantitative research. Upon successful completion of this course, you should have the skills need to be an informed consumer of meta-analyses relative to research design, implementation, and policy implications, conduct a systematic, replicable search of the literature to identify studies, reports, and other documents for a meta-analysis, create a database and conduct a meta-analysis using the appropriate statistical methods, and prepare a comprehensive written report of your meta-analytic results. To provide practical experience, each student will complete a systematic review and meta-analysis project over the course of the semester.