Short Course

Instructor(s): John Skvoretz, University of South Florida This workshop covers advanced statistical methods for analyzing social network data, focusing on testing hypotheses about network structure (e.g. reciprocity, transitivity, and closure), the formation of ties based on attributes (e.g. homophily), and … Read more

THIS COURSE HAS BEEN CANCELLED! The "Survival Analysis for the Social and Behavioral Sciences" short course is an in-depth introduction to survival analysis: models for data where the response variable takes the form of a time to an event. Models … Read more

Instructor(s): Kenneth Bollen, University of North Carolina at Chapel Hill A powerful method for analyzing longitudinal data is Latent Growth Curve Models (LGCM). LGCM allow each case in a sample to have individual trajectories ("latent curves" or "growth curves") representing … Read more

Instructor(s): Shawn Bauldry, Purdue University The Growth Mixture Model (GMM) is an extension of the Latent Growth Curve Model (LGCM) that identifies distinct subgroups of growth trajectories and allows individuals to vary around subgroup-specific mean trajectories. Conventional growth modeling estimates … Read more

Instructor(s): Kathleen M. T. Collins, University of Arkansas at Fayetteville The term mixed methods research (MMR) refers to application and integration of qualitative and quantitative approaches at one or more stages of the research process. The purpose of this three-day … Read more

Instructor(s): Brice Acree, Ohio State University Quantitative analysis of digitized text represents an exciting and challenging frontier of data science across a broad spectrum of disciplines. From the analysis of physicians' notes to identify patients with diabetes, to the assessment … Read more