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An application of computational theo...

Finton, Michael James.

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An application of computational theory to the prediction of creativity in college students.

Record Type:	Electronic resources : Monograph/item
Title/Author:	An application of computational theory to the prediction of creativity in college students./
Author:	Finton, Michael James.
Description:	75 p.
Notes:	Source: Dissertation Abstracts International, Volume: 56-10, Section: B, page: 5814.
Contained By:	Dissertation Abstracts International56-10B.
Subject:	Psychology, Personality. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9605861

An application of computational theory to the prediction of creativity in college students.
Finton, Michael James.

An application of computational theory to the prediction of creativity in college students. - 75 p.

Source: Dissertation Abstracts International, Volume: 56-10, Section: B, page: 5814.

Thesis (Ph.D.)--Michigan State University, 1995.

Empirical investigations of creativity have typically examined single variables. The predictive and explanatory value of this approach is limited, because creativity is a variable which is likely multiply determined. Computational theories assume that the central components of a cognitive process can be identified and the relative importance of each variable can be assessed. In this study, a computational model was used to determine whether scores on tests of mental imagery, cognitive flexibility, abstract reasoning, and personality were correlated to scores on the Figural battery of the Torrance Tests of Creative Thinking. Twenty-seven male subjects and 81 female subjects were tested, for a total sample of 108 subjects. Results indicated that, when analyzed separately, personality traits and the ability to form mental images were not related to creative ability. For male subjects, the ability to embellish drawings with detail was related to personality traits and the ability to benefit from corrective feedback. Whereas no combination of variables successfully predicted overall creative ability, two equations were found that predicted scores on some of the component tests of creative ability for male subjects and analyses involving the entire sample. These results are discussed in terms of the shortcomings of computational models.Subjects--Topical Terms:

1017585
Psychology, Personality.

An application of computational theory to the prediction of creativity in college students.
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100 1 $a Finton, Michael James. $3 1927375
245 1 3 $a An application of computational theory to the prediction of creativity in college students.
300 $a 75 p.
500 $a Source: Dissertation Abstracts International, Volume: 56-10, Section: B, page: 5814.
502 $a Thesis (Ph.D.)--Michigan State University, 1995.
520 $a Empirical investigations of creativity have typically examined single variables. The predictive and explanatory value of this approach is limited, because creativity is a variable which is likely multiply determined. Computational theories assume that the central components of a cognitive process can be identified and the relative importance of each variable can be assessed. In this study, a computational model was used to determine whether scores on tests of mental imagery, cognitive flexibility, abstract reasoning, and personality were correlated to scores on the Figural battery of the Torrance Tests of Creative Thinking. Twenty-seven male subjects and 81 female subjects were tested, for a total sample of 108 subjects. Results indicated that, when analyzed separately, personality traits and the ability to form mental images were not related to creative ability. For male subjects, the ability to embellish drawings with detail was related to personality traits and the ability to benefit from corrective feedback. Whereas no combination of variables successfully predicted overall creative ability, two equations were found that predicted scores on some of the component tests of creative ability for male subjects and analyses involving the entire sample. These results are discussed in terms of the shortcomings of computational models.
590 $a School code: 0128.
650 4 $a Psychology, Personality. $3 1017585
650 4 $a Psychology, Psychometrics. $3 1017742
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710 2 0 $a Michigan State University. $3 676168
773 0 $t Dissertation Abstracts International $g 56-10B.
790 $a 0128
791 $a Ph.D.
792 $a 1995
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9605861