Course Description
This course is designed for researchers and leaders to gain experience using quantitative analytic approaches to answer questions in educational research and policy analysis. As the first course in a two-part series, this course introduces students to foundational tools in quantitative data analysis. Specifically, topics include measurement, graphical and tabular data displays, probability, hypothesis testing, t-tests, X2 tests, analysis of variance (ANOVA), and fundamentals of regression.
Summer I 5W 2026
Instructors
Meeting Patterns
Classes Start:
May 20, 2026
Classes End:
June 24, 2026
Room Number:
[TBA]
Class Days:
T H
Class Start Time:
4:30pm
Class End Time:
6:30pm
Class Type:
Lecture
Credits:
3.00
Restrictions:
Restricted to Doctoral students in the College of Education