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Scrutinizing the basis of originality in divergent thinking tests: On the measurement precision of response propensity estimates

机译:在发散思维试验中仔细检查原创性的基础:关于响应倾向估计的测量精度

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Background The originality of divergent thinking (DT) production is one of the most critical indicators of creative potential. It is commonly scored using the statistical infrequency of responses relative to all responses provided in a given sample. Aims Response frequency estimates vary in terms of measurement precision. This issue has been widely overlooked and is addressed in the current study. Sample and method Secondary data analysis of 202 participants was performed. A total of 900 uniquely identified responses were generated on three DT tasks and subjected to a 1-parameter logistic model with a response as the unit of measurement which allowed for the calculation of response-level conditional reliability (and marginal reliability as an overall summary of measurement precision). Results Marginal reliability of response propensity estimates ranged from .62 to .67 across the DT tasks. Unique responses in the sample (the basis for the classic uniqueness scoring) displayed the lowest conditional reliability (across tasks: approximate to .50). Reliability increased nonlinearly as a function of both the frequency of occurrence predicted by the model (conditional reliability) and sample size (conditional and marginal reliability). Conclusions This study indicates that the common practice of frequency-based originality scoring with typical sample sizes (e.g., N = 100 to N = 200) yields unacceptable levels of measurement precision (i.e., in particular for highly original responses). We further offer recommendations to mitigate the lack of measurement precision of frequency-based originality scores for DT research.
机译:背景技术发散思维(DT)生产的原创性是创造性潜力最关键的指标之一。它通常使用相对于给定样本中提供的所有响应的统计缺点来得分。目标响应频率估计在测量精度方面变化。此问题已被广泛忽视,并在目前的研究中得到解决。采样和方法进行了202名参与者的二级数据分析。在三个DT任务中共产生了900个唯一识别的响应,并经受一个1参数逻辑模型,作为测量单位的响应,允许计算响应级条件可靠性(以及边缘可靠性作为整体摘要测量精度)。结果响应倾向的边际可靠性估计范围从.62到.67之间的DT任务。样本中的独特响应(经典唯一性评分的基础)显示了最低的条件可靠性(跨任务:近似为.50)。可靠性因模型(条件可靠性)和样本大小(条件和边缘可靠性)预测的发生频率的函数而增加。结论本研究表明,具有典型样本尺寸的频率基原创度评分的常见做法(例如,N = 100至N = 200)产生不可接受的测量精度水平(即,特别是对于高度原始响应)。我们进一步提出建议,以减轻频率的频率的原创性分数缺乏测量精度进行DT研究。

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