This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Whitely, S. E. Articles by Schneider, L. M. Search for Related Content Social Bookmarking                         What's this?

Information Structure for Geometric Analogies: A Test Theory Approach

University of Kansas

Lisa M. Schneider

University of Kansas

Although geometric analogies are popular items for measuring intelligence, the information pro cesses that are involved in their solution have not been studied in a test theory context. In the current study, processing is examined by testing alternative models of information structure on geometric analogies. In contrast to the treatment of models in other studies that have appeared in the cognitive literature, the models are tested jointly as mathe matical models of processing and as latent trait models of individual differences. The joint model ing was achieved by applying the one-parameter lin ear logistic latent trait model to predict response accuracy from information structure. The results supported the model that distinguished between spatial distortion and spatial displacement transfor mations, which have opposite effects on item diffi culty. Further, no significant sex difference in over all accuracy or processing were observed. Implica tions of the results for processing mechanisms and test design are discussed.

Applied Psychological Measurement, Vol. 5, No. 3, 383-397 (1981)
DOI: 10.1177/014662168100500312


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?

This article has been cited by other articles:

				D. M. Dimitrov Least Squares Distance Method of Cognitive Validation and Analysis for Binary Items Using Their Item Response Theory Parameters Applied Psychological Measurement, September 1, 2007; 31(5): 367 - 387. [Abstract] [PDF]

				F. B. Baker Sensitivity of the Linear Logistic Test Model to Misspecification of the Weight Matrix Applied Psychological Measurement, September 1, 1993; 17(3): 201 - 210. [Abstract]

				M. Medina-Diaz Analysis of Cognitive Structure Using the Linear Logistic Test Model and Quadratic Assignment Applied Psychological Measurement, June 1, 1993; 17(2): 117 - 130. [Abstract]

				K. E. Green and R. M. Smith A Comparison of Two Methods of Decomposing Item Difficulties Journal of Educational and Behavioral Statistics, January 1, 1987; 12(4): 369 - 381. [Abstract] [PDF]

				L. F. Hornke and M. W. Habon Rule-Based Item Bank Construction and Evaluation Within the Linear Logistic Framework Applied Psychological Measurement, December 1, 1986; 10(4): 369 - 380. [Abstract]

				G. Alvord and G. B. Macready Comparing Fit of Nonsubsuming Probability Models Applied Psychological Measurement, September 1, 1985; 9(3): 233 - 240. [Abstract]

				G. H. Fischer and A. K. Formann Some Applications of Logistic Latent Trait Models with Linear Constraints on the Parameters Applied Psychological Measurement, September 1, 1982; 6(4): 397 - 416. [Abstract] [PDF]