1965
DOI: 10.2466/pr0.1965.17.1.115
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A Factor Analysis of Mathematical Giftedness

Abstract: 90 mathematically gifted high school students selected on the basis of aptitude and interest in mathematics were compared with 63 unselected college preparatory high school students in the same general ability range. A principal-component method of factor analysis was used to determine the minimum number of independent dimensions needed to account for the variance in the correlational matrix.

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Cited by 6 publications
(4 citation statements)
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“…Table 2 shows the power necessary to detect small, medium and large effect sizes (Sedlmeier and Gigerenzer, 1989 ). Out of 33 studies measured (note that studies with only 1 math gifted participant are not included), only the following 8 had power >0.5 to show medium sized effects (power range for all studies: 0.13–0.99): Barner et al ( 2016 ), Benbow and Minor ( 1990 ), Kennedy and Walsh ( 1965 ), Leikin et al ( 2013 ), Paz-Baruch et al ( 2014 ), Robinson et al ( 1996 ), Swanson ( 2006 ), and Wei et al ( 2012 ). The studies in general also had very low power to show small effects (power range: 0.06–0.42).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Table 2 shows the power necessary to detect small, medium and large effect sizes (Sedlmeier and Gigerenzer, 1989 ). Out of 33 studies measured (note that studies with only 1 math gifted participant are not included), only the following 8 had power >0.5 to show medium sized effects (power range for all studies: 0.13–0.99): Barner et al ( 2016 ), Benbow and Minor ( 1990 ), Kennedy and Walsh ( 1965 ), Leikin et al ( 2013 ), Paz-Baruch et al ( 2014 ), Robinson et al ( 1996 ), Swanson ( 2006 ), and Wei et al ( 2012 ). The studies in general also had very low power to show small effects (power range: 0.06–0.42).…”
Section: Discussionmentioning
confidence: 99%
“…Some studies have shown positive correlations between mathematical giftedness and individual motivation. Kennedy and Walsh ( 1965 ) conducted a study with gifted high school students in which they used a Principal Component Analysis (PCA) of 33 variables to compare 15 cognitive/personality factors (eight assessments were used; see Table 1 ; Row 2). The mathematically gifted students ( n = 90) were selected based on their ability and also for showing high interest in math, while the other groups ( n = 63) showed high general cognitive ability but were not specifically gifted nor interested in mathematics.…”
Section: Review Of the Literaturementioning
confidence: 99%
“…The amount of empirical research on this topic, however, is rather limited. In the review article by Myers et al (2017), for instance, only one study was reported in which mathematically gifted high school children were found to exhibit a higher drive to succeed and a different pattern of interests (less interest in social, interpersonal, or religious issues) compared with a control group (Kennedy & Walsh, 1965). In sum, high mathematical competence at this developmental level should be reflected in high levels of mathematical performance, specific problem-solving processes, and the production of (relatively) original mathematical ideas.…”
Section: Application Of the Tad Framework To Different Achievement Domentioning
confidence: 99%
“…The amount of empirical research on this topic, however, is rather limited. In the review article by Myers et al (2017), for instance, only one study was reported in which mathematically gifted high school children were found to exhibit a higher drive to succeed and a different pattern of interests (less interest in social, interpersonal, or religious issues) compared to a control group (Kennedy & Walsh, 1965). In sum, high mathematical competence at this developmental level should be reflected in high levels of mathematical performance, specific problem-solving processes, and the production of (relatively) original mathematical ideas.…”
Section: Aptitudementioning
confidence: 99%