Courses

Graduate Courses in Quantitative Methods

6131 Univariate Analysis I: Analysis of Variance (3): Topics include descriptive statistics and graphics, applied probability, elementary distribution theory, principles of statistical inference, theory and application of analysis of variance (ANOVA) models for between-subjects and repeated measures designs.

6132 Univariate Analysis II: Regression (3): Prerequisite, Psychology 6131, or permission from the instructor. Topics include correlation, simple linear regression, multiple linear regression, regression diagnostics, logistic regression.

6135 Psychology of Data Visualization  (3): Prerequisite, Psychology 6130 or Psychology 6131 and Psychology 6132, or permission from the instructor. Topics include  varieties of information visualization, history of information visualization, software tools for information visualization, visualization in statistics and human factors research.

6136 Categorical Data Analysis  (3): Prerequisite, Psychology 6130 or Psychology 6131 and Psychology 6132, or permission from the instructor. Topics include discrete data, two-way tables of counts, three-way contingency tables, log-linear models, generalized linear models, logit models, logistic regression, polytomous response models and models for correlated categorical responses.

6137 Best Practices in Quantitative Research Methods (3): Prerequisite, Psychology 6130 or Psychology 6131 and Psychology 6132. This course is designed to introduce and train students with research skills aligned with current recommendations on best practice in quantitative research. The course will focus on all stages of research including power analysis and multiplicity control in research design, data management and documentation for reproducibility, and research reporting and presentation graphics.

6155 Statistical Consulting in Psychology (3): Prerequisite, Psychology 6130, or Psychology 6131 and Psychology 6132, or permission from the instructor. An introduction to the statistical consulting process, emphasizing its nontechnical aspects.

6140 Multivariate Analysis (6): Prerequisite, Psychology 6130, or Psychology 6131 and Psychology 6132, or permission from the instructor. Topics include a brief introduction to matrix algebra, review of multiple regression, factor analysis, structural equation modeling, methods longitudinal data, multilevel modeling.

6160 Hierarchical Linear Modeling (3): Prerequisite, Psychology 6130, or Psychology 6131 and Psychology 6132, or permission from the instructor. Topics include theory and application of hierarchical or multilevel models for clustered data, including linear and logistic models.

6176 Structural Equation Modeling (3): Prerequisite, Psychology 6130, or Psychology 6131 and Psychology 6132, or permission from the instructor. Psychology 6140 is desirable. Topics include concepts and methods underlying structural equation models, including "causation" and correlation, path analysis, confirmatory factor analysis, latent variable models, and practical use with major statistical software.

6180 Psychometric Methods (3): Prerequisite, Psychology 6130, or Psychology 6131 and Psychology 6132, or permission from the instructor. Topics on Psychometrics include measurement construction, measurement validation, measurement of latent variables, classical test theory and item response theory.

6190 Longitudinal Data Analysis (3): Prerequisite, Psychology 6130 , or Psychology 6131 and Psychology 6132 or permission from the instructor. Topics include repeated measures ANOVA designs, or theory and application of multilevel models for repeated measures data.