发散思维
结合属性
创造力
心理学
流利
文字联想
认知心理学
独创性
联想(心理学)
可靠性(半导体)
收敛性思维
灵活性(工程)
WordNet公司
认知
创造性思维
社会心理学
人工智能
计算机科学
统计
数学教育
数学
功率(物理)
神经科学
物理
纯数学
心理治疗师
量子力学
精神分析
作者
Selçuk Acar,Mark A. Runco
标识
DOI:10.1080/10400419.2014.901095
摘要
Tests of divergent thinking represent the most commonly used assessment of creative potential. Typically they are scored for total ideational output (fluency), ideational originality, and, sometimes, ideational flexibility. That scoring system provides little information about the underlying process and about the associations among ideas. It also does not really capture the key principle of divergent thinking, namely that ideas may be found when cognition explores new (divergent) directions. The investigation reported here used 3 independent semantic networks, each computerized and previously validated, to quantify the distance between responses (ideas) to several tests of divergent thinking. These sources were WordNet (WN), Word Associations Network (WAN), and IdeaFisher (IF). Statistical analyses indicated that remote and close associations can be reliably measured when different sources of associative strength are used. Inter-item reliability (alpha coefficients) of what these networks had identified as remote associations were higher than those from close associations. Inter-item reliability values were higher in the WAN and IF, which provided shorter lists than the WN. Therefore, longer associative lists did not necessarily produce better indices of remote and close associations. Also, scores from a measure of creative attitudes and values were significantly correlated with remote, but not with close, associations across all 3 networks. This finding is very important because it shows that people with a higher tendency of creative attitudes and values, as measured by divergent thinking tests, are more likely to make remote associations rather than close associations. Limitations and future directions are discussed.
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