Title:
Multicomponent Latent Trait Models for Complex Tasks

dc.contributor.author Embretson, Susan E.
dc.contributor.author Yang, Xiangdong
dc.contributor.corporatename Georgia Institute of Technology. School of Psychology
dc.contributor.corporatename University of Kansas. Dept. of Psychology
dc.date.accessioned 2010-07-28T16:32:09Z
dc.date.available 2010-07-28T16:32:09Z
dc.date.issued 2006
dc.description Published in the Journal of Applied Measurement, 7(3), 335-550, copyright 2006.
dc.description.abstract 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, sonic 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. en_US
dc.identifier.citation Embretson, S. E., & Yang, X. (2006). Multicomponent latent trait models for complex tasks. Journal of Applied Measurement, 7(3), 540-557. en_US
dc.identifier.issn 1529-7713
dc.identifier.uri http://hdl.handle.net/1853/34254
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original JAM Press
dc.subject Cognitive theory en_US
dc.subject Multicomponent latent trait models en_US
dc.subject Multidimensionality en_US
dc.title Multicomponent Latent Trait Models for Complex Tasks en_US
dc.type Text
dc.type.genre Article
dspace.entity.type Publication
local.contributor.author Embretson, Susan E.
local.contributor.corporatename College of Sciences
local.contributor.corporatename School of Psychology
relation.isAuthorOfPublication 19f0fa71-2cea-4ce0-851b-e019cc56c45a
relation.isOrgUnitOfPublication 85042be6-2d68-4e07-b384-e1f908fae48a
relation.isOrgUnitOfPublication 768a3cd1-8d73-4d47-b418-0fc859ce897d
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