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Scheu, Ian Edward; Lawrence, Thomas – Journal of Educational Computing Research, 2013
This article details the construction of a computer program to test cognitive processing differences in adolescents engaged in a standard presentation of tests versus a fantasy-based game presentation. The article will discuss the challenges of creating a replication of traditional psychological tests into a new medium which holds comparable…
Descriptors: Psychological Testing, Computer Assisted Testing, Games, Adolescents
Peer reviewedBieliauskas, Vytautas J.; Farragher, John – Journal of Clinical Psychology, 1983
Administered the House-Tree-Person test to male college students (N=24) to examine the effects of varying the size of the drawing form on the scores. Results suggested that use of the drawing sheet did not have a significant influence upon the quantitative aspects of the drawing. (LLL)
Descriptors: College Students, Higher Education, Intelligence Tests, Males
Peer reviewedBerger, Steven G.; And Others – Assessment, 1994
As part of a neuropsychological assessment, 95 adult patients completed either standard or computerized versions of the Category Test. Subjects who completed the computerized version exhibited more errors than those who completed the standard version, suggesting that it may be more difficult. (SLD)
Descriptors: Adults, Comparative Analysis, Computer Assisted Testing, Demography
Peer reviewedHunt, Earl; Pellegrino, James – Intelligence, 1985
There are economic advantages in using microcomputers as automated testing stations for measuring aptitude and intelligence. Microcomputers also make it possible to expand and modify testing procedures for psychological functions included in conventional tests and to test psychological functions not generally assessed by conventional tests, such…
Descriptors: Aptitude Tests, Cognitive Measurement, Cognitive Tests, Computer Assisted Testing
Sexton, Larry C.; Lee, Mickey M. – 1989
The tetrad of subtests of the Wechsler Intelligence Scale for Children-Revised (WISC-R) that best predicts the WISC-R Full-Scale intelligence quotient (IQ) was determined for 1,589 Appalachian students referred for evaluation in grades 1-4, 5-8, and 9-10. The sample was divided into three groups. Students in grades 1 through 4 (n=655) were those…
Descriptors: Age Groups, Elementary School Students, Elementary Secondary Education, Intelligence Quotient

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