Research output per year
Research output per year
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
The Reduced Reparameterized Unified Model (Reduced RUM) has received considerable attention among educational researchers. Markov chain Monte Carlo (MCMC) or Expectation Maximization (EM) is typically used for estimating the Reduced RUM. Implementations of the EM algorithm are available in the latent class analysis (LCA) routines of commercial software packages (e.g., Latent GOLD, Mplus). Using a commercial LCA routine as a vehicle for fitting the Reduced RUM with the EM algorithm requires that it be reparameterized as a logit model, with complex constraints imposed on the parameters. This article summarizes the general parameterization of the Reduced RUM as a logit model and the associated parameter constraints.
Original language | English (US) |
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Title of host publication | Quantitative Psychology - 81st Annual Meeting of the Psychometric Society, 2016 |
Editors | Wen-Chung Wang, Marie Wiberg, Steven A. Culpepper, Jeffrey A. Douglas, L. Andries van der Ark |
Publisher | Springer |
Pages | 207-213 |
Number of pages | 7 |
ISBN (Print) | 9783319562933 |
DOIs | |
State | Published - 2017 |
Event | 81st annual meeting of the Psychometric Society, 2016 - Asheville, United States Duration: Jul 11 2016 → Jul 15 2016 |
Name | Springer Proceedings in Mathematics and Statistics |
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Volume | 196 |
ISSN (Print) | 2194-1009 |
ISSN (Electronic) | 2194-1017 |
Other | 81st annual meeting of the Psychometric Society, 2016 |
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Country/Territory | United States |
City | Asheville |
Period | 7/11/16 → 7/15/16 |
Research output: Book/Report/Conference proceeding › Book