0 or 3 credits
Spring 2025 Lecture Upper DivisionData from last updated 3/29/2025
Spring 2025
Spring 2025 Instructors:
This course is designed to provide an overview of introductory quantitative data analysis methods in education. The course in specially designed to enhance students' quantitative reasoning and skills through discussions of issues in educational data and authentic data analysis experiences of a variety of education data. The topics to be covered in this course include data collection and description, sampling distributions, methods of quantitative data analysis often used in education research. Permission of instructor required.
Learning Outcomes1Describe key concepts and principles of educational measurement.
2Conduct comprehensive analyses of the characteristics of different assessments (including their advantages and limitations).
Prerequisites
One of
Student attribute GR
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