Teaching Focus

Courses

Foundations of Impression Management: Theory And Research

During the semester students will explore the topic of impression management in its many facets. We will consider the history of the topic, examine theoretical approaches, and discuss content areas in which impression management approaches have been applied. The focus will be on relevant theory and research.

Social Cognition

This seminar provides a critical overview of theory and research in social cognition. One of the primary goals of this area of research is to understand the processes that underlie many of the forces that shape, and are shaped by, social interaction. During the semester we will examine the various aspects of social cognition in the context of social psychological research.

Self-presentation and Social Image

Review of history, research, and theory in impression management. People frequently ‘package’ information about themselves to influence others to draw the ‘right’ conclusions about them. This course examines how people use interpersonal behavior to manage how others perceive them.

Introduction to Statistics in Psychology

This course gives an introduction to the quantitative and scientific research methods that are used to investigate human behavior. In particular, the course is designed to provide students with a basic foundation in statistical analysis. In addition, we will also cover the fundamental issues of experimental design, since the way an experiment is designed and structured often dictates how the resulting data will be analyzed. In the broadest terms, the course underscores the critical importance between the scientific development of theories and the accurate collection, description and interpretation of empirical data. My intent is to give students a grounded introduction to this process.

Applied Regression

This course provides an in-depth examination of the underpinnings and use of multiple regression in the behavioral sciences. My aim is to provide students with a basic understanding of the General Linear Model, the data requirements for ordinary least squares regression analyses, and the computational details of simple, multiple, and hierarchical regression analyses. In addition, students learn how to use multiple regression analysis as a general approach to research design and data analysis for studies with multiple predictors and sets; a foundational understanding of mediators and moderators is also covered.

Self and Identity

Description forthcoming.