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Advances in the assessment of cognitive skills using computer-based measurement

Kush, JC and Spring, MB and Barkand, J (2012) Advances in the assessment of cognitive skills using computer-based measurement. Behavior Research Methods, 44 (1). 125 - 134. ISSN 1554-351X

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Abstract

The impact of technology in the field of intellectual assessment has, for the most part, been limited to computerized adm inistration and scoring. Anderson's (2001) theory of intelligence suggests that performance on traditional IQ measures is acquired via two main routes, thinking and dedicated processing systems known as modules. Empirical data used to support this relationship between the speed of basic processing and intellectual functioning have been evidenced primarily by correlations between measures of general intelligence and measures of inspection time (IT). These IT measures allow individuals to make a forced choice discrimination task without a motor component. Because only the time used to cognitively solve the problem is recorded, these responses typically occur in milliseconds. Many theorists (e. g., Burns & Nettelbeck, 2002; Deary, 2000; Jensen, 2006) consider IT to be a more "pure" measure of intelligence, because the influences of verbal skills, memory, and socialization are minimized and results are therefore considered to be more culture-fair. Until relatively recently, IT measurement was restricted to complex and expensive specialized laboratory equipment. This article describes the theoretical background and developmental process of a computer-based IT measure that is easily adaptable to accommodate the needs of the researcher. © 2011 Psychonomic Society, Inc.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Kush, JC
Spring, MBspring@pitt.eduSPRING
Barkand, J
Date: 1 March 2012
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Behavior Research Methods
Volume: 44
Number: 1
Page Range: 125 - 134
DOI or Unique Handle: 10.3758/s13428-011-0136-2
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1554-351X
PubMed ID: 21792739
Date Deposited: 07 Aug 2012 20:41
Last Modified: 30 Oct 2017 22:55
URI: http://d-scholarship.pitt.edu/id/eprint/13433

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