EDUC 978 (01) - Applied Regression Analysis in Educational Research

Appl Regressn Analy Ed Resrch

Durham   Liberal Arts :: Education
Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 13573
This course introduces students to simple and multiple regression analysis, specifically as the methods are applied to research questions in educational research. Students learn about the linear regression model and its assumptions, how to use SPSS to fit the model to data, and how to interpret results. Students will also learn how to: evaluate the tenability of the model's assumptions; conduct thoughtful model building; model the effects of categorical predictors and statistical interactions; and handle multi-collinearity. The use of statistical techniques are modeled in class and then students apply these new techniques to datasets of educational relevance from a variety of sources, including educational surveys, observational studies, and randomized experiments. Students learn how to interpret the outcomes of their analyses thoughtfully and meaningfully and are asked to communicate these interpretations clearly and concisely in writing. Prereq: EDUC 881 or equivalent.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Suzanne Graham

Times & Locations

Start Date End Date Days Time Location
8/29/2022 12/12/2022 M 4:10pm - 6:30pm MORR 103