WCST的指标预测能力及反馈处理特性

Xia Feng, Chengzhi Feng
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引用次数: 2

摘要

根据威斯康星卡片分类测试(WCST)的表现,参与者可以分为认知灵活性高和低两组。两组之间的认知差异需要进一步研究。然而,研究根据WCST的不同标准对参与者进行了分组。基于经典的WCST,本研究调查了大学生的两个问题:(1)指标对成绩的预测能力;(2)高认知灵活性和低认知灵活性参与者的反馈处理特征。回归分析显示,TCF(完成第一次分类的试验)和PR%(持续反应的百分比)是强有力的预测因素。根据回归方程,我们进一步将参与者分为认知灵活性高和低两组。关于反馈处理特性,我们将规则搜索阶段的所有试验分为四种类型之一:纠错(coCO)、纠错(coER)、误差(erER)和纠错(erCO),这四种类型基于先前反馈和当前响应之间的关系。结果表明,与低认知灵活性组相比,高认知灵活性组能够有效地从反馈中学习。反馈处理能力的差异可能是大学生在WCST任务中表现差异的原因之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Index Predicting Power and Feedback Processing Characteristics in the WCST
Based on the performance of the Wisconsin Card Sorting Test (WCST), participants can be divided into high and low cognitive flexibility groups. The cognitive differences between the two groups need further study. However, studies have grouped participants according to different criteria of the WCST. Based on the classical WCST, the present study investigated two issues in college students: (1) the power of indexes for predicting performance, and (2) the feedback processing characteristics of high and low cognitive flexibility participants. The regression analysis showed TCF (trials to complete the first classification) and PR% (the percentage of perseverative response) were powerful predictors. We further divided participants into high and low cognitive flexibility groups according to the regression equation. Regarding the feedback processing characteristics, we classified all trials in rule-search phase as one of four types: correct-correct (coCO), correct-error (coER), error-error (erER), and error-correct (erCO), which were based on the relationship between the former feedback and the current response. The results revealed that compared with the low cognitive flexibility group, the high cognitive flexibility group could learn effectively from feedback. Differences in the feedback processing ability may be one of the reasons for the differential performance of college students on the WCST task.
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