What are the stories we tell ourselves about everyday technologies, especially those technologies we don't understand? As you know, stories don't need to correspond to facts or hard, material realities which is why in stories about technology things "just work," … Read more
The purpose of this 2-day course is to give an overview of structural equation models (SEMs). It is not an introduction to SEM software, but focuses more on the conceptual aspects of SEMs. It provides a brief description of the … Read more
The purpose of this 2-day course is to give an overview of structural equation models (SEMs). It is not an introduction to SEM software, but focuses more on the conceptual aspects of SEMs. It provides a brief description of the … Read more
Designing Multi-Item Scales with Bob DeVellis This course provides an introduction to developing instruments with multiple items to measure a single construct. Examples include measures of various social and psychological variables that might be assessed in health, marketing, journalism, … Read more
Open labs are (mostly) unstructured workshops designed to help you learn R. Each week brief instruction will be provided, followed by time to practice, work together, ask questions and get help. Participants can join the lab any time during the … Read more
Open labs are (mostly) unstructured workshops designed to help you learn R. Each week brief instruction will be provided, followed by time to practice, work together, ask questions and get help. Participants can join the lab any time during the … Read more
Open labs are (mostly) unstructured workshops designed to help you learn R. Each week brief instruction will be provided, followed by time to practice, work together, ask questions and get help. Participants can join the lab any time during the … Read more
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
