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ICPSR — Bayesian Multi-Level Modeling (VIRTUAL)

June 15, 2020

This workshop introduces the Bayesian multilevel model framework. Bayesian methods allow for an extremely flexible approach for estimating hierarchical models with a variety different types of dependent variables. The Bayesian approach simplifies several of the assumptions of the classical techniques … Continued

ICPSR — Multi-Level Modeling in the Social Sciences (VIRTUAL)

June 8, 2020

Across the social sciences, we encounter multilevel, hierarchical, or clustered data, such as students nested in classrooms or schools or voters nested in electoral districts or states. Often, we have theories about how characteristics at different levels of analysis are … Continued

ICPSR — Network Analysis: Statistical Approaches (VIRTUAL)

May 18, 2020

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 network effects on individual attributes (social influence … Continued

ICPSR – Bayesian Latent Variable Analysis

July 17, 2017

ICPSR – Bayesian Latent Variable Analysis   This workshop will focus on a variety of commonly used latent variable techniques from the Bayesian perspective. The Bayesian paradigm is, in many ways, superior to classic techniques for estimating models with latent … Continued