기관회원 [로그인]
소속기관에서 받은 아이디, 비밀번호를 입력해 주세요.
개인회원 [로그인]

비회원 구매시 입력하신 핸드폰번호를 입력해 주세요.
본인 인증 후 구매내역을 확인하실 수 있습니다.

회원가입
서지반출
Intelligence and Openness as Predictors of Creativity
[STEP1]서지반출 형식 선택
파일형식
@
서지도구
SNS
기타
[STEP2]서지반출 정보 선택
  • 제목
  • URL
돌아가기
확인
취소
  • Intelligence and Openness as Predictors of Creativity
저자명
Yousun Kwon,Donggun An,Jungmin Pyo,Heehyun Lee
간행물명
한국창의력교육학회 학술대회지
권/호정보
2016년|(통권10호)|pp.16-20 (5 pages)
발행정보
한국창의력교육학회|한국
파일정보
학술대회지|ENG|
PDF텍스트(1.3MB)
주제분야
교육학
서지반출

영문초록

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).

목차

Introduction
Review of the Literature
Methods
Measurement Instruments
Results
Discussion

구매하기 (1,500)