Exposing students to meta-analysis supports ASA Curriculum Guidelines regarding the importance of data science, working with real and unusual data, diverse approaches to statistical models, and building relationships with allied disciplines. This poster present some of the benefits to students from taking an undergraduate meta-analysis course. The course is a 300-level statistics elective (class size: 12-18) that enrolls statistics majors and students from social and allied health science majors who are working on a data science minor. The course assumes one prior statistics course, and is taught using R. Benefits to students include: learning how to read primary research papers in their discipline (or, for statistics majors, a discipline of interest) for effect size statistics and other quantitative concepts that are important for data synthesis, connecting with issues around research reproducibility and credibility in their discipline, and conducting an original meta-analysis in a research literature of interest.
Blaine, Bruce E., "Reaching out to behavioral science audiences via meta-analysis" (2019). Statistics Faculty/Staff Publications. Paper 4.
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