Getting Started with Secondary Data Analysis
June 11, 2017
Secondary data analysis is a high priority for many funding agencies as they try to maximize the information gleaned from funded studies. In this podcast, Methodology Center Research Associate Kate Guastaferro and Methodology Center Data Manager Loren Masters discuss some of the issues and requirements associated with getting access to existing data. This podcast is intended for graduate students or investigators who are new to secondary data analysis. Along with the podcast, users can download an outline of the steps required before conducting a secondary data analysis.
Practical Advice on LCA with John Dziak
December 1, 2016
Latent class analysis (LCA) is a widely used tool for identifying subgroups in a population. Many researchers have questions about how to conduct an LCA as responsibly and accurately as possible. In our latest podcast, John Dziak discusses important points to consider when conducting an LCA, like how to tell when an analysis is successful and how to make sure your model is properly identified. John is a Methodology Center research associate who studies LCA, and he is the lead developer of our LCA software, including PROC LCA. Note: this podcast is a companion piece to podcasts 15 and 16 with Stephanie Lanza and Bethany Bray. If you are new to LCA, you may want to start with Podcast 15.
Latent Class Analysis (LCA) Part 2: Extensions of LCA with Stephanie Lanza and Bethany Bray
January 22, 2013
Stephanie Lanza and Bethany Bray discuss extensions of LCA with host Aaron Wagner. Topics include LCA with grouping variables and covariates, latent transition analysis, causal inference in LCA, and LCA with a distal outcome. The discussion assumes that users are familiar with LCA; part 1 provides introductory information.
Latent Class Analysis (LCA) Part 1: Common Questions about LCA with Stephanie Lanza and Bethany Bray
November 26, 2012
Methodology Center scientists Stephanie Lanza and Bethany Bray and host Aaron Wagner discuss common, practical issues that arise in latent class analysis (LCA). Issues include selecting indicator variables, selecting a model, determining the necessary sample size, finding LCA software, and getting started in LCA. This is the first in a two-part podcast; the next podcast will address some of our recent research on LCA.
Where Are They Now? with Bethany Bray
March 10, 2011
Host Michael Cleveland interviews Bethany Bray, Assistant Professor of Psychology at Virginia Tech. Bethany was formerly the Assistant Director and a Research Associate at The Methodology Center. Michael talks with Bethany about her research interests, her experience as a pre-doctoral fellow in the Prevention and Methodology Training (PAMT) program here at Penn State, and her recently released article, “Modeling relations among discrete developmental processes: A general approach to associative latent transition analysis,” in Structural Equation Modeling.
New Book on Latent Class and Latent Transition Analysis with Linda Collins and Stephanie Lanza
May 5, 2010
Host Michael Cleveland interviews Linda Collins and Stephanie Lanza, authors of the new book, Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences.
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