Unit: College of Arts and Sciences
Department: Department of Psychology
Office location and address
1023 Millmont and 028 Gilmer Hall
485 McCormick RdCharlottesville, Virginia 22903
Robust and Interpretable Bayesian Quantile Longitudinal Analysis in Social and Behavioral Sciences
Source: U.S. National Science Foundation (NSF)
May 01, 2020 – April 30, 2023
This course provides the opportunity to offer a new topic in the subject area of psychology.
An original experimental project is undertaken in which each student is responsible for the design and operation of the experiment. S/U grading. May be repeated for credit. Prerequisite: 14 credits of psychology and instructor permission.
Topical Offerings in Psychology
This course will provide a practical introduction to classic and modern Bayesian methods, with an emphasis on applications in social sciences. Bayesian estimation for several widely used models in psychology will also be discussed.
Discusses contemporary developments in psychological theory, methods, and research. Prerequisite: Graduate standing in psychology or instructor permission.
This course will provide an introduction to the principles and methods (e.g., multilevel models, mixed-effects models, latent growth curve models) for the analysis of longitudinal data. Emphasis will be on data analysis and interpretation. Participants should be familiar with the general linear model (regression, analysis of variance) prior to taking this course.
Includes Chi-square tests for contingency tables, correlation, multiple regression, analysis of variance of one-way and factorial designs including repeated measures experiments, and analysis of covariance. Extension work with SPSS and MANOVA computer routines. Prerequisite: PSYC 7710 or equivalent.
For master's research, taken before a thesis director has been selected.
Independent laboratory research undertaken with advisor. Satisfactory/Unsatisfactory and can be repeated. Instructor permission required.
For doctoral research, taken before a dissertation director has been selected.
For doctoral dissertation, taken under the supervision of a dissertation director.