Michael J Meyer

Assistant Professor
Unit: College of Arts and Sciences
Department: Department of Psychology
Office location and address
485 McCormick Rd
Charlottesville, Virginia 22903
PSYC 3006: Research Methods and Data Analysis II
Credits: 4
A continuation of discussion of research methods in psychology, including computer-controlled experimentation, integrated with computer-based exploratory data analysis, and elementary statistical analysis. Three lecture hours, two laboratory hours. Prerequisite: PSYC 2005 (or 3005) with a grade of C or higher; may not be taken concurrently with PSYC 2005.
PSYC 3310: RM: R Applications in Psychology
Credits: 3
This course serves as both an introduction to the R programming language for those who haven't had any previous R background, as well as a refresher and an extension of R topics for those who have taken an intro to R course (i.e., STAT 1601 or PSYC 3006) previously or concurrently. This course is specially tailored to those who have an interest in psychology, with the purpose of preparing students to use R for their psychological research.
PSYC 3559: New Course in Psychology
Credits: 1–4
This course provides the opportunity to offer a new topic in the subject area of psychology.
PSYC 3590: Research in Psychology
Credits: 2–3
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.
PSYC 5323: RM: R in Psychology
Credits: 3
This course is designed to introduce the statistical language R, with the purpose of preparing students to use and apply quantitative methods in their future psychology research. Topics may include handling data structures, cleaning data, visualizing and presenting data, and reviewing introductory statistics using R.
PSYC 5559: New Course in Psychology
Credits: 3
This course provides the opportunity to offer a new topic in the subject area of psychology.
PSYC 7710: Quantitative Methods I: Probability and Statistical Inference
Credits: 4
The course covers mathematical foundations of psychology and statistical techniques used in behavioral science, in particular foundations of linear algebra, probability theory, information theory, statistical testing, normal models, and special, frequently used cases of normal models (t-test). The course has three lecture hours and two laboratory hours that teaches computational aspects of the course in R.
PSYC 7720: Quantitative Methods II: Experimental Design
Credits: 4
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.