AI Summary
[DOCUMENT_TYPE: syllabus]
**What This Document Is**
This is a syllabus for a graduate-level course focused on meta-analysis, a powerful research technique used in the field of evaluation. It outlines the structure, expectations, and learning objectives for students undertaking advanced study in research synthesis. The course is offered within the Research on Evaluation (EVAL 6970) program at Western Michigan University. It details the scope of topics covered, logistical information, and the instructor’s contact details.
**Why This Document Matters**
This syllabus is essential for prospective students considering enrolling in the course. It’s also valuable for researchers and practitioners interested in understanding the core components of a rigorous meta-analysis training program. Anyone looking to deepen their understanding of evidence-based practices, research review methodologies, or statistical approaches to synthesizing research findings will find this overview helpful. It clarifies the prerequisites and expected skillset for successful participation.
**Common Limitations or Challenges**
This syllabus provides a high-level overview of the course. It does *not* contain the specific readings, assignments, or detailed explanations of statistical procedures that are central to the course content. It won’t provide step-by-step instructions on *how* to conduct a meta-analysis, nor does it include access to datasets or software tutorials. It’s a roadmap, not the journey itself.
**What This Document Provides**
* A clear description of the course’s overall objectives and learning outcomes.
* Information regarding course logistics, including meeting times and location.
* Details about the instructor’s background and contact information.
* An outline of the key areas of study within meta-analysis, including effect size calculation and heterogeneity.
* Identification of foundational knowledge recommended for success in the course.
* A list of required textbooks and the expectation of supplemental readings.
* Mention of software utilized in the course for practical application.