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.
Fall 2025
Instructors
Meeting Patterns
Classes Start:
August 18, 2025
Classes End:
December 2, 2025
Location:
0G110 Tompkins Hall
Class Days:
T
Class Start Time:
4:30pm
Class End Time:
7:15pm
Classes Start:
August 18, 2025
Classes End:
December 2, 2025
Location:
Hybrid - Online and In-Person
Class Days:
[TBA]
Class Type:
Lecture
Credits:
3.00
Restrictions:
Restricted to Doctoral students in the College of Education
