- Intelligence and Openness as Predictors of Creativity
- ㆍ 저자명
- Yousun Kwon,Donggun An,Jungmin Pyo,Heehyun Lee
- ㆍ 간행물명
- 한국창의력교육학회 학술대회지
- ㆍ 권/호정보
- 2016년|(통권10호)|pp.16-20 (5 pages)
- ㆍ 발행정보
- 한국창의력교육학회|한국
- ㆍ 파일정보
- 학술대회지|ENG| PDF텍스트(1.3MB)
- ㆍ 주제분야
- 교육학
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).
Introduction Review of the Literature Methods Measurement Instruments Results Discussion