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.
SPRG 2022
Instructors
Classes Start:
January 10, 2022
Classes End:
April 25, 2022
Distance Education:
Yes
Class Days:
H
Class Start Time:
4:30pm
Class End Time:
7:15pm
Class Type:
Lecture
Credits:
3.00
Delivery Method:
Internet Interactive
Restrictions:
Prerequisite: ED 700, or ECI 510, or ELP 532, or ST 507
