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.
Type
Section meets weekly, alternating on-campus/online
Fall 2024
Instructors
Meeting Patterns
Classes Start:
August 19, 2024
Classes End:
December 3, 2024
Location:
01220 Engineering Building 2
Class Days:
H
Class Start Time:
1:30pm
Class End Time:
4:15pm
Classes Start:
August 19, 2024
Classes End:
December 3, 2024
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
