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Dec 13, 2025
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PSY 7130 - Advanced Regression Analysis
The first half of this course is an introduction to generalized linear regression models, including logistic regression, multinomial logistic regression, ordinal logistic regression, and Poisson regression models; the second half of this course is an introduction to multilevel linear models. Topics include the principles and procedures involved in the estimation and testing of parameters, the use of diagnostic procedures, the representation of categorical predictors, and the exploration of higher-order effects, including interactions.
Requisites: PSY 6112
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Conduct, interpret, and report statistical analyses carried out with statistical software.
- Explain how the fit of a model is assessed and how diagnostic procedures are used to assess a model.
- Explain the key elements of any analysis, including how parameters are estimated, how parameters and models are tested, how association between predictors and criterion is measured.
- Select the appropriate statistical analysis to answer a research question.
- Understand and evaluate statistical analyses reported in the scientific literature.
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