The basic technique of linear regression can be enormously useful across a wide variety of research contexts and disciplines. In many instances, regression analysis allows for comprehensive examination of the effects of multiple predictors on a single, continuous outcome variable, including mediation and moderation effects. This seminar will cover basic aspects of conducting and interpreting simple (one predictor) and multiple (two or more predictors) regression analyses using SPSS software. Continuous and categorical predictor variables will be covered, and basic approaches to mediation and moderation will be discussed.
This seminar is particularly useful for faculty and graduate students familiar with introductory statistical techniques (e.g., the Pearson correlation coefficient, t-tests) who need to be able to statistically address situations where more than one predictor variable is involved.
Prerequisites: Basic computer literacy, exposure to introductory statistics (distributions, measures of central tendency, dispersion, correlation, hypothesis testing).
This workshop is co-sponsored by the Office of Academic Development and Assessment (ADA); the Testing, Research-Support, and Evaluation Center (TREC); and the Institute for Interdisciplinary Research Design and Analysis (IIRDA).
