This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Lin, T. H. Articles by Dayton, C. M. Search for Related Content Social Bookmarking                         What's this?

Model Selection Information Criteria for Non-Nested Latent Class Models

New England Research Institutes

C. Mitchell Dayton

University of Maryland

Latent class models have been developed for assessment of hierarchic relations in scaling and behavioral analysis. This article investigated the use of three model selection information criteria—Akaike AIC, Schwarz SIC, and Bozdogan CAIC—for non-nested models. In general, SIC and CAIC were superior to AIC for relatively simple models, whereas AIC was superior for more complex models, although accuracy was often quite low for such models. In addition, some effects were detected for error rates in the models.

Key Words: latent class analysis • model selection criteria

Journal of Educational and Behavioral Statistics, Vol. 22, No. 3, 249-264 (1997)
DOI: 10.3102/10769986022003249


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?

This article has been cited by other articles:

				T. Kang, A. S. Cohen, and H.-J. Sung Model Selection Indices for Polytomous Items Applied Psychological Measurement, October 1, 2009; 33(7): 499 - 518. [Abstract] [PDF]

				F. Li, A. S. Cohen, S.-H. Kim, and S.-J. Cho Model Selection Methods for Mixture Dichotomous IRT Models Applied Psychological Measurement, July 1, 2009; 33(5): 353 - 373. [Abstract] [PDF]

				S. M. DeSantis, E. A. Houseman, B. A. Coull, A. Stemmer-Rachamimov, and R. A. Betensky A penalized latent class model for ordinal data Biostat., April 1, 2008; 9(2): 249 - 262. [Abstract] [Full Text] [PDF]

				T. Kang and A. S. Cohen IRT Model Selection Methods for Dichotomous Items Applied Psychological Measurement, July 1, 2007; 31(4): 331 - 358. [Abstract] [PDF]

				Xiangdong Yang, J. Shaftel, D. Glasnapp, and J. Poggio Qualitative or Quantitative Differences?: Latent Class Analysis of Mathematical Ability for Special Education Students Journal of Special Education, February 1, 2005; 38(4): 194 - 207. [Abstract] [PDF]

				M. Eid, R. Langeheine, and E. Diener Comparing Typological Structures Across Cultures By Multigroup Latent Class Analysis: A Primer Journal of Cross-Cultural Psychology, March 1, 2003; 34(2): 195 - 210. [Abstract] [PDF]

				V. Benet-Martinez and Z. Karakitapoglu-Aygun The Interplay Of Cultural Syndromes And Personality In Predicting Life Satisfaction: Comparing Asian Americans and European Americans Journal of Cross-Cultural Psychology, January 1, 2003; 34(1): 38 - 60. [Abstract] [PDF]

				L. T. Decarlo and S. S. Luthar Analysis and Class Validation of a Measure of Parental values Perceived by early Adolescents: An Application of a Latent Class Model for Rankings Educational and Psychological Measurement, August 1, 2000; 60(4): 578 - 591. [Abstract] [PDF]