Multicomponent latent trait models for complex tasks. 2006

Susan E Embretson, and Xiangdong Yang
School of Psychology, Georgia Institute of Technology, 654 Cherry St., Atlanta, GA 30332-0170, USA. susan.embretson@psych.gatech.edu

Contemporary views on cognitive theory (e.g., Sternberg and Perez, 2005) regard typical measurement tasks, such as ability and achievement test items, multidimensional, rather than unidimensional. Assessing the levels and the sources of multidimensionality in an item domain is important for item selection as well as for item revision and development. In this paper, multicomponent latent trait models (MLTM) and traditional multidimensional item response theory models are described mathematically and compared for the nature of the dimensions that can be estimated. Then, some applications are presented to provide examples of MLTM. Last, practical estimation procedures are described, along with syntax, for the estimation of MLTM and a related model.

UI MeSH Term Description Entries
D011582 Psychological Theory Principles applied to the analysis and explanation of psychological or behavioral phenomena. Social Cognitive Theory,Psychologic Theory,Psychological Theories,Theories, Psychological,Theory, Psychological,Cognitive Theories, Social,Cognitive Theory, Social,Psychologic Theories,Social Cognitive Theories,Theories, Psychologic,Theories, Social Cognitive,Theory, Psychologic,Theory, Social Cognitive
D003071 Cognition Intellectual or mental process whereby an organism obtains knowledge. Cognitive Function,Cognitions,Cognitive Functions,Function, Cognitive,Functions, Cognitive
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D014481 United States A country in NORTH AMERICA between CANADA and MEXICO.
D015233 Models, Statistical Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc. Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model

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