Suppr超能文献

对联想能力进行普遍评估的扩展:多项选择复合远程联想任务的开发与验证。

Scaling a common assessment of associative ability: Development and validation of a multiple-choice compound remote associates task.

机构信息

Department of Psychology, University of Oregon, 1451 Onyx Street, Eugene, Oregon, 97403, USA.

Midjourney, Inc., San Francisco, CA, USA.

出版信息

Behav Res Methods. 2024 Oct;56(7):1-29. doi: 10.3758/s13428-024-02422-3. Epub 2024 Jun 5.

Abstract

The assessment of creativity as an individual difference has historically focused on divergent thinking, which is increasingly viewed as involving the associative processes that are also understood to be a key component of creative potential. Research on associative processes has proliferated in many sub-fields, often using Compound Remote Associates (CRA) tasks with an open response format and relatively small participant samples. In the present work, we introduce a new format that is more amenable to large-scale data collection in survey designs, and present evidence for the reliability and validity of CRA measures in general using multiple large samples. Study 1 uses a large, representative dataset (N = 1,323,480) to demonstrate strong unidimensionality and internal consistency (α = .97; ωt = .87), as well as links to individual differences in temperament, cognitive ability, occupation, and job characteristics. Study 2 uses an undergraduate sample (N = 685) to validate the use of a multiple-choice format relative to the traditional approach. Study 3 uses a crowdsourced sample (N = 357) to demonstrate high test-retest reliability of the items (r =.74). Finally, Study 4 uses a sample that overlaps with Study 1 (N = 1,502,922) to provide item response theory (IRT) parameters for a large set of high-quality CRA items that use a multiple-choice response mode, thus facilitating their use in future research on creativity, insight, and related topics.

摘要

创造力作为个体差异的评估历来侧重于发散思维,而发散思维越来越被视为涉及联想过程,联想过程也被认为是创造性潜力的关键组成部分。联想过程的研究在许多子领域中迅速发展,通常使用具有开放式反应格式和相对较小参与者样本的复合远程联想 (CRA) 任务。在目前的工作中,我们引入了一种新的格式,更适合在调查设计中进行大规模数据收集,并使用多个大型样本为 CRA 测量的可靠性和有效性提供证据。研究 1 使用一个大型的、具有代表性的数据集 (N = 1,323,480) 证明了强烈的单维性和内部一致性 (α =.97; ωt =.87),以及与气质、认知能力、职业和工作特征的个体差异的联系。研究 2 使用本科生样本 (N = 685) 验证了相对于传统方法使用多项选择格式的有效性。研究 3 使用众包样本 (N = 357) 证明了项目的高测试-重测可靠性 (r =.74)。最后,研究 4 使用与研究 1 重叠的样本 (N = 1,502,922) 为一组高质量的 CRA 项目提供项目反应理论 (IRT) 参数,这些项目使用多项选择的反应模式,从而促进了它们在创造力、洞察力和相关主题的未来研究中的使用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验