Introduction to Data Science Using R   Part of Data Matters: Data Science Short Course Series This course provides a basic introduction to the R software environment for the purpose of data science. The course covers importing and exporting data, … Read more

This class has been CANCELLED.   This workshop will cover strategies for obtaining visual displays of quantitative information. We will discuss ways to, quite literally, look at data and statistical models in pictorial form. This is important because graphical representations … Read more

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 … Read more

ICPSR – Machine Learning for the Analysis of Text as Data   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 … Read more

This Course has been CANCELLED   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 … Read more

ICPSR – Latent Growth Curve Models (LGCM): A Structural Equation Modeling Approach   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 … Read more

An Introduction to Conducting Experiments in the Social Sciences This one-day course will provide a basic introduction to conducting experimental research in the social sciences. With an eye towards pragmatics, this course will teach participants about the experimental life cycle … Read more