Browse All

Theses & Dissertations

Submissions

Use of a Variable Compensation Item Response Model to Assess the Effect of Working-Memory Load On Noncompensatory Processing in an Inductive Reasoning Task

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Mary Ann Simpson (Creator)
Institution
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/
Advisor
Terry Ackerman

Abstract: "A study of the relationship between noncompensatory processing and the working memory load of matrix completion items was conducted. Data were taken from the British Cohort Study of 1970, First Follow-up (N=14,875). To assess compensation, the GMIRT Rasch model (Spray & Ackerman, 1986), variable compensation model, was used with MCMC estimation via WINBUGS. In support of these analyses, a simulation study assessing parameter recovery for the GMIRT model was conducted. Sample size, item pool size, and interability correlation were manipulated. Adequate parameter recovery was observed when difficulty parameters were constrained equal across dimensions. In the application study, there was some evidence to support the relationship between working memory load and compensation "--Abstract from author supplied metadata.

Additional Information

Publication
Dissertation
Language: English
Date: 2005
Keywords
memory, noncompensatory processing, parameter recovery, working memory load, compensation
Subjects
Memory--Testing
Compensation (Psychology)--Testing
Induction (Logic)
Cognition--Testing
Psychometrics--Evaluation