This course provides the opportunity to offer a new topic in the subject area of psychology.

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.

Introduces major statistical methods used for the data analysis of multiple measures. Includes elementary matrix algebra, multivariate regression (canonical correlation; multivariate analysis of variance and covariance; and discriminant analysis and classification), correlational methods (principal components and exploratory and confirmatory factor analysis), and the analysis of multivariate contingency tables using log-linear models. Emphasizes concepts, issues, and examples over mathematical derivations. Prerequisite: PSYC 7710-7720 or equivalent.

This methods course provides hands-on experience designing and conducting research in developmental psychology. The course is intended to guide students through the research process, including generating research questions, evaluating previous literature, proposing an original experiment, collecting and analyzing data, and presenting findings.

Analyzes current theory and research in social and personality developments from infancy through adolescence. Prerequisite: Instructor permission.

Develops skills in processing neural data and analyzing its relationship to stimulus or motor activity. Topics include information theory, receptive fields, point processes, and mixed-effects models. Emphasis is on implementing theoretical concepts with computer programs. Prerequisite: instructor permission.

This course is designed to introduce you to the concepts of item response theory (IRT) models and their application to substantive psychological problems in measurement, such as test and scale design and analysis. Prerequisite: Undergraduates must have taken Psyc 3005 and 3006 OR 4005 and 4006. Grads must have taken Psyc 7710. Instructor consent required.

In this course we will investigate how historical and social contexts of different types of inequality inform individual¿s psychological processes. Further, we will discuss how these psychological processes may, in turn, exacerbate or mitigate inequality.

This course will survey contemporary research and theory in affective science. We will examine the origins, functions, and behavioral and social consequences of emotions, paying particular attention to cross-cultural and cross-species evidence.

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. At least 1-2 semesters of previous formal programming experience required (i.e., CS1110 or PSYC 3310).