Graduate Quantitative Training
Concentration in Quantitative Methods
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About the UNL Psychology Graduate Quantitative Courses:
Questions about these courses? Email Dr. Becca Brock or Dr. Anna Jaffe or Dr. Cal Garbin
Psychology 941: Fundamentals of Research Design & Data Analysis 1
- Usual Instructor: Cal Garbin
- Pre-Requisites: Instructor permission
- Course Format: 3 credit hours; lecture activity
- Notes: PSYC 941 is usually offered every fall. Auditors are welcome, space permitting.
- Description: An integration of fundamental methodological and data analytic models commonly employed in
psychological and behavioral research. Univariate and bivariate statistical analyses and research hypothesis testing
using parametric and nonparametric models are covered, along with an introduction to research synthesis and meta analysis.
- Current Online Course Materials
Psychology 942: Fundamentals of Research Design & Data Analysis 2
- Usual Instructor: Cal Garbin
- Pre-Requisites: PSYC 941 and instructor permission
- Course Format: 3 credit hours; lecture activity
- Notes: PSYC 942 is usually offered every spring. Auditors are welcome, space permitting.
- Description: Multiple regression and related models for multivariate analyses, statistical contol, mediation & path analysis are introduced.
Factorial research designs and ANOVA models for examining conditionality, interactions & moderation are covered. The integratioin of these
"two statistical families" as the general linear model (GLM) is the heart of the course.
- Current Online Course Materials
Psychology 944: Multilevel Modeling in the Behavioral Sciences
- Usual Instructor: Becca Brock
- Pre-Requisites: PSYC 941 & 942 and instructor permission
- Course Format: 3 credit hours; lecture activity
- Notes: Psyc 944 will usually be offered every fall.
- Description: Applications of the multilevel model (hierarchical linear model, general linear mixed model) for analyzing nested data with a particular focus on longitudinal data analysis.
Psychology 948: Structural Equation Modeling in the Behavioral Sciences
- Usual Instructor: Becca Brock
- Pre-Requisites: Psyc 941 & 942 and instructor permission
- Course Format: 3 credit hours; lecture activity
- Notes:Psyc 948 will usually be offered every spring.
- Description: Fundamentals and foundations of SEM (model specification and identification, data preparation, model estimation, model respecification, reporting results) and specific applications of path analysis (moderation, mediation, and moderated mediation) and latent variable modeling (standard and nonstandard CFA models, integrating latent variables into path models, multiple group analysis).
Psychology 949: Longitudinal Structural Equation Modeling
- Usual Instructor: Anna Jaffe
- Pre-Requisites: Psyc 941, 942, 948 and instructor permission
- Course Format: 3 credit hours; lecture activity
- Notes:Psyc 948 will usually be offered every spring.
- Description: Applications of structural equation models to longitudinal designs for analyzing repeated measures data. Topics will include evaluation of measurement invariance, panel models, latent growth curve models, and other extensions of SEM for longitudinal data.
Psychology 930: Advanced Design and Analysis Modules
- Usual Instructors: Cal Garbin
- Pre-Requisites: Will vary by topic
- Course Format: 1 credit hours lecture activity
- Notes: Modules will usually, but not always, be offered in the summer. Auditors are welcome, space permitting.
- Description: Descriptions of advanced modules are listed at the bottom of the main "Quant Training" page.