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                                       Details for article 2 of 4 found articles
 
 
  Psychometric Approaches Help Resolve Competing Cognitive Models: When Less Is More Than It Seems
 
 
Title: Psychometric Approaches Help Resolve Competing Cognitive Models: When Less Is More Than It Seems
Author: Arendasy, Martin
Sommer, Markus
Ponocny, Ivo
Appeared in: Cognition and instruction
Paging: Volume 23 (2005) nr. 4 pages 503-521
Year: 2005-12-01
Contents: Simple arithmetic word problems are often featured in elementary school education. One type of problem, "compare with unknown reference set," ranks among the most difficult to solve. Differences in item difficulty for compare problems with unknown reference set are observed depending on the direction of the relational statement (more than vs. less than). Various cognitive models have been proposed to account for these differences. We employed item response theory (IRT) to compare competing cognitive models of student performance. The responses of 100 second-grade students to a series of compare problems with unknown reference set, along with other measures of individual differences, were fit to IRT models. Results indicated that the construction integration model (Kintsch, 1988, 1998) provided the best fit to the data. We discuss the potential contribution of psychometric approaches to the study of thinking.
Publisher: Routledge
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 4 found articles
 
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