title: An application of the multidimensional random coefficients multinomial logit model to evaluating cognitive models of reasoning in genetics.
abstract: This article summarizes multidimensional Rasch analyses in which several alternative models of genetics reasoning are evaluated based on item response data from secondary students who participated in a genetics reasoning curriculum. The various depictions of genetics reasoning are compared by fitting several models to the item response data and comparing data-to-model fit at the model level between hierarchically nested models. We conclude that two two-dimensional models provide a substantively better depiction of student performance than does a unidimensional model or more complex three- and four-dimensional models.
authors: Pearson, Assessment and Information, 2510 N. Dodge St., Mail Stop 130, Iowa City, IA 52245-9945, USA. Ed.Wolfe@Pearson.com
authors: Edward W
authors: EW
authors: Wolfe
authors: Daniel T
authors: DT
authors: Hickey
authors: Ann C H
authors: AC
authors: Kindfield
mesh_terms: D000293:Adolescent; D003071:Cognition; D004521:Educational Measurement / Q000706:statistics & numerical data; D005823:Genetics / Q000193:education*; D006801:Humans; D015233:Models, Statistical