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Statistical training in advanced quantitative methods

We’re excited to announce that our Mixture Modeling and Latent Class Analysis workshop now includes a full set of demonstrations in the powerful software program…

Growth models have long been a workhorse of longitudinal data analysis. Whether we are studying reading development across elementary school, depressive symptoms across adulthood, or…

This workshop from Mariola Moeyaert focuses on identifying and organizing research with which to conduct a research synthesis or meta-analysis

This workshop from Wes Bonifay focuses on the foundations and application of item response theory, particularly as applied to binary items.

Statistical training in advanced quantitative methods

This workshop from Milica Miočević focuses on the use of Bayesian estimation and inference in the behavioral, social, and health sciences.

Use CenterStat Curricular Pathways to build your knowledge and skills with foundations of research methods, measurement/latent variable models, longitudinal data analysis, and data science.

Purchase credit now toward future training in methodology and statistics with CenterStat

Selecting the number of classes (or components) is one of the most challenging decisions to make when fitting a finite mixture model (including latent class analysis and latent profile analysis). In t...

Statistical training in advanced quantitative methods

Statistical training in advanced quantitative methods

This is a great question and is one that prompts much disagreement among quantitative methodologists. Nearly all confirmatory factor analysis or structural equation models impose…

A constant source of confusion within the multiple regression model (and the general linear model more broadly) relates to the terms suppression and suppressor variable.

Statistical training in advanced quantitative methods