Results 161 to 170 of about 12,078 (210)

Model Selection Indices for Polytomous Items

Applied Psychological Measurement, 2009
This study examines the utility of four indices for use in model selection with nested and nonnested polytomous item response theory (IRT) models: a cross-validation index and three information-based indices. Four commonly used polytomous IRT models are considered: the graded response model, the generalized partial credit model, the partial credit ...
T. Kang, A. S. Cohen, H.-J. Sung
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Polytomous Item Response Theory Models

2006
Polytomous Item Response Theory Models provides a unified, comprehensive introduction to the range of polytomous models available within item response theory (IRT). It begins by outlining the primary structural distinction between the two major types of polytomous IRT models.
Ostini, Remo, Nering, Michael
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Componential IRT Models for Polytomous Items

Journal of Educational Measurement, 1995
Componential IRT models for polytomous items are of particular interest in two contexts: Componential research and test development. We assume that there are basic components, such as processes and knowledge structures, involved in solving cognitive tasks. In Componential research, the subtask paradigm may be used to isolate such components in subtasks.
Machteld Hoskens, Paul De Boeck
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Item Selection in Polytomous CAT

2003
In polytomous CAT, items can be selected using Fisher Information, Maximum Interval Information, or Kullback-Leibler Information. In this paper, the different item selection criteria are described. In a simulation study the criteria are compared for a number of item pools. The process of deciding which one to choose is illustrated.
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Feature Pattern Analysis for Polytomous Items

2003
Items with only two categories or values (possibilities to respond) are called dichotomous. Items with more than two categories, qualitative or quantitative or mixed, are called polytomous. For these items or for any mixture of dichotomous and polytomous items we develop a new algorithm to find a FPA solution in one (k = 1) or more (k > 1 ...
Feger, Hubert, Brehm, Michelle
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Introduction to bifactor polytomous item response theory analysis

Journal of School Psychology, 2017
A bifactor item response theory model can be used to aid in the interpretation of the dimensionality of a multifaceted questionnaire that assumes continuous latent variables underlying the propensity to respond to items. This model can be used to describe the locations of people on a general continuous latent variable as well as on continuous ...
Toland, M. D, SULIS, ISABELLA, GIAMBONA, FRANCESCA, PORCU, MARIANO, Campbell, J. M. Michael   +4 more
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