What This Document Is
This is a comprehensive syllabus for EVAL 6970, a graduate-level course offered at Western Michigan University focusing on Experimental and Quasi-Experimental Designs for Applied Research and Evaluation. It outlines the course structure, expectations, and logistical details for students engaging in advanced study of research methodologies. The syllabus serves as a foundational guide for understanding the course’s objectives and how student learning will be assessed.
Why This Document Matters
This syllabus is essential for anyone considering enrolling in EVAL 6970, as well as currently enrolled students. Prospective students can use it to determine if the course aligns with their academic and professional goals, particularly those interested in evaluation, research methods, or related fields. Current students will rely on this document throughout the semester to stay informed about assignments, grading policies, and important dates. Researchers and practitioners seeking to strengthen their understanding of rigorous research design will also find the overview of course topics beneficial.
Common Limitations or Challenges
This syllabus provides a high-level overview of the course. It does *not* contain the actual course lectures, readings, assignments, or data sets used in the class. It also doesn’t delve into the specific statistical applications discussed within the course; it only notes a foundational statistics knowledge is helpful. The syllabus outlines the topics covered but does not provide in-depth explanations or solutions to complex methodological challenges.
What This Document Provides
* Course description and learning objectives
* Instructor contact information and office hour policies
* Course schedule and meeting times/location
* Details regarding credit hours and course logistics
* A list of key terminology related to research design
* An overview of the theoretical foundations underpinning research paradigms
* Information about the course website and available resources
* A foundational understanding of validity and potential threats to research conclusions.
