NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1114525
Record Type: Journal
Publication Date: 2016
Pages: 21
Abstractor: As Provided
ISSN: ISSN-1530-5058
Fitting the Reduced RUM with Mplus: A Tutorial
Chiu, Chia-Yi; Köhn, Hans-Friedrich; Wu, Huey-Min
International Journal of Testing, v16 n4 p331-351 2016
The Reduced Reparameterized Unified Model (Reduced RUM) is a diagnostic classification model for educational assessment that has received considerable attention among psychometricians. However, the computational options for researchers and practitioners who wish to use the Reduced RUM in their work, but do not feel comfortable writing their own code, are still rather limited. One option is to use a commercial software package that offers an implementation of the expectation maximization (EM) algorithm for fitting (constrained) latent class models like Latent GOLD or Mplus. But using a latent class analysis routine as a vehicle for fitting the Reduced RUM requires that it be re-expressed as a logit model, with constraints imposed on the parameters of the logistic function. This tutorial demonstrates how to implement marginal maximum likelihood estimation using the EM algorithm in Mplus for fitting the Reduced RUM.
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Descriptive; Guides - Non-Classroom
Education Level: N/A
Audience: Researchers; Practitioners
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A