Course Description
Simple and multiple regression methods as applied to the prediction and explanation of behavior. Topics include the formation and testing of models in experimental and nonexperimental research. Computer software packages are used for data analysis.
Athena Title
Applied Regression
Equivalent Courses
Not open to students with credit in HDFS 8830
Prerequisite
PSYC 6420
Semester Course Offered
Not offered on a regular basis.
Grading System
A - F (Traditional)
Student Learning Outcomes
- By the end of the course, students should have learned to use computer software to analyze regression models.
- By the end of the course, students should have learned to interpret results of simple and multiple regression analyses.
- By the end of the course, students should have learned to use diagnostics to determine appropriateness of a regression model.
- By the end of the course, students should have learned to determine appropriate order for conducting analyses of complex effects.
- By the end of the course, students should have learned to implement regression analyses in research.
- By the end of the course, students should have learned to critically evaluate research which employed regression analysis.
Topical Outline
- Correlation
- Simple Regression
- Multiple Regression
- Diagnostics
- Computer Applications
- Statistical Control
- Multiple Regression: Prediction
- Multiple Regression: Explanation
- Path Analysis
- Structural Equation Models
