Psychology

This course has a two-fold purpose. First, it is designed to provide a working introduction to the ethical issues, principles, and techniques of psychotherapy and supervision. Second, will explore psychology's history and development and then investigate the role of History and Systems on our current psychotherapy.

This course will provide clinical psychology doctoral students exposure to current knowledge and challenging issues in ethical decision-making and practices tied to being a clinical scientist. The course will focus on clinical science roles as a researcher, educator (e.g., teacher, mentor), and member of the broader field.

Designed to provide a working introduction to the ethical issues, principles, and techniques of psychotherapy and supervision. Additionally, case conceptualization, designing intervention plans, and active listening skills are introduced and practiced. Individual psychotherapy with adolescents and adults will be the primary focus of this aspect of the course.

This course is designed to provide students with a context for supervision and consultation through sharing with each other their experiences with various clients, providing peer supervision to each other (with the instructor in the room), receiving immediate feedback from the instructor regarding their supervision of each other, and receiving feedback from each other, at the end of the course.

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.

Studies scholarly writings, empirical research, and current developments relating to ethics in psychology, and relevant ethical codes and regulations influencing the conduct of scientists and educators. Focuses on recognizing and resolving ethical dilemmas in academic and research settings. Prerequisite: second-year standing in a graduate program in the Department of Psychology or instructor permission.

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

This course reviews current and classic literature concerning theory and experimental findings in cognitive development across infancy and childhood.

This course intends to give the student a practical working understanding of some of the techniques for data analysis of dynamical systems in psychology. The course will concentrate on the development and testing of dynamical systems models for behavior and learning practical methods for fitting models of continuous time differential equations for real world data. Prerequisites: R and Structural Equation Modeling.

Introduction to Structural Equation Modeling provides an introduction to statistical modeling with latent variables and multivariate outcomes. Path analysis, confirmatory factor analysis, multivariate regression, growth curves, and longitudinal mediation and moderation will be covered using the free open source OpenMx software running in R.

For master's research, taken before a thesis director has been selected.

For master's research, taken under the supervision of a thesis director.

Independent laboratory research undertaken with advisor. Satisfactory/Unsatisfactory and can be repeated. Instructor permission required.

Independent laboratory research undertaken with advisor. Graded and can be repeated. Instructor permission required.

This course prepares graduate students to create and deliver effective oral presentations of their research. We will focus particularly on longer-format presentations. Topics covered include clarity before semi-professional audiences, effective use of graphics and other supporting materials, and different methods of presenting complex data.

An exposure to the working techniques and interactions of the modern neuroscience laboratory.

Supervision in case assessment, evaluation, and intervention. Emphasizes issues involved in case management; types of issues and decisions that may affect the outcome of intervention; pragmatic issues in dealing with people referred as clients; consultation procedures with referral agencies; and liaisons with community agencies. Student performance is evaluated on a satisfactory/unsatisfactory basis. Prerequisite: Instructor permission.

For doctoral research, taken before a dissertation director has been selected.

For doctoral dissertation, taken under the supervision of a dissertation director.