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

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
ACS Applied Energy Materials Pub Date : 2024-10-01 Epub Date: 2024-06-05 DOI:10.3758/s13428-024-02422-3
Kendall A Mather, Sara J Weston, David M Condon
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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.

Abstract Image

对联想能力进行通用评估:开发和验证多重选择复合远程联想任务。
作为个体差异的创造力评估历来侧重于发散思维,而人们越来越多地认为,发散思维涉及联想过程,而联想过程也被认为是创造潜能的关键组成部分。关于联想过程的研究在许多子领域都大量涌现,通常使用的是开放式反应形式的复合远程联想(CRA)任务,参与样本相对较少。在本研究中,我们引入了一种更适合在调查设计中进行大规模数据收集的新形式,并利用多个大型样本为 CRA 测量的可靠性和有效性提供了证据。研究 1 使用了一个具有代表性的大型数据集(N = 1,323,480),证明了 CRA 具有很强的单维性和内部一致性(α = .97; ωt = .87),并且与气质、认知能力、职业和工作特征等个体差异相关联。研究 2 使用了一个本科生样本(N = 685),以验证相对于传统方法的多项选择格式的使用。研究 3 采用众包样本(N = 357),以证明项目的测试-再测可靠性较高(r =.74)。最后,研究 4 使用了与研究 1 重叠的样本(N = 1,502,922),为一大批使用多项选择回答模式的高质量 CRA 项目提供了项目反应理论(IRT)参数,从而便于在未来有关创造力、洞察力及相关主题的研究中使用。
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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