Intelligence and Openness as Predictors of Creativity

서지정보

ㆍ발행기관 : 한국창의력교육학회 ㆍ수록지정보 : 창의력교육연구
ㆍ저자명 : Yousun Kwon, Donggun An, Jungmin Pyo, Heehyun Lee

목차

Introduction
Review of the Literature
Methods
Measurement Instruments
Results
Discussion

영어 초록

The purpose of this study was to examine the effects of intelligence and openness
on creativity. A sample of 296 college students completed two tasks of creative
metaphor generation, measures of fluid intelligence, crystalized intelligence, long-term
storage and retrieval, and a measure of openness. Results indicate that the three
lower-order intelligence factors accounted for 21.4% of the variance in the creativity
scores, and the effects of fluid intelligence ( = .364, p< .001) and crystallized
intelligence ( = .251, p< .01) were significant. A higher-order intelligence factor ( =
.534, p< .001) composed of the lower-order factors accounted for 28.5% of the
variance in the creativity scores. When openness was added to the model, 36.4% of
the variance in the creativity scores was accounted for, and the effects of openness
( =.348, p< .05) were significant. When the intellect aspect was excluded from
openness and it was added to the model, 37.1% of the variance in the creativity
scores was accounted for and openness (excluding the intellect aspect) was significant
( =.354, p< .05). Although the variances of explanation and values between the
two models were very similar, the model fits were more appropriate when the
intellect aspect was excluded (X2/df = 1.490, IFI = .923, CFI = .921, RMSEA =
.041, AIC = 411.185) than when it was included (X2/df = 1.633, IFI = .899, CFI =
.897, RMSEA = .046, AIC = 475.812).

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