Applied quantitative analyses in human development and family science, with a focus on foundational concepts of linear regression. Students will learn about conceptual issues in this area and develop skills in the proper application of linear regression methods to empirical data in human development and family science.
Athena Title
Regression Analyses in HDFS
Equivalent Courses
Not open to students with credit in PSYC 6430
Prerequisite
HDFS 7170 or permission of department
Semester Course Offered
Offered spring
Grading System
A - F (Traditional)
Student learning Outcomes
Students will learn the basic assumptions underlying regression analyses, when to use particular regression techniques, and how to interpret statistical output from regression analyses.
Students will learn how to conduct their own regression analyses using statistical software packages.
Students will be able to understand basic assumptions of regression analyses in human development and family science.
Students will be able to determine appropriate regression techniques for testing particular models and hypotheses.
Students will be able to interpret results of linear regression analyses.
Students will be able to distinguish between mediational and moderation models and when to use them.
Students will be able to implement regression analyses in research using data from human development and family science.
Students will be able to critically evaluate research that employs regression analyses.
Topical Outline
Foundational Assumptions of Regression Analyses
Applications of Regression Analyses for Human Development and Family Science
