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可靠且有效地测量近似数量系统的敏锐度:对一种自适应测试程序的评估。

Measuring acuity of the approximate number system reliably and validly: the evaluation of an adaptive test procedure.

机构信息

Department of Psychology, Uppsala University Uppsala, Sweden.

出版信息

Front Psychol. 2013 Aug 6;4:510. doi: 10.3389/fpsyg.2013.00510. eCollection 2013.

Abstract

Two studies investigated the reliability and predictive validity of commonly used measures and models of Approximate Number System acuity (ANS). Study 1 investigated reliability by both an empirical approach and a simulation of maximum obtainable reliability under ideal conditions. Results showed that common measures of the Weber fraction (w) are reliable only when using a substantial number of trials, even under ideal conditions. Study 2 compared different purported measures of ANS acuity as for convergent and predictive validity in a within-subjects design and evaluated an adaptive test using the ZEST algorithm. Results showed that the adaptive measure can reduce the number of trials needed to reach acceptable reliability. Only direct tests with non-symbolic numerosity discriminations of stimuli presented simultaneously were related to arithmetic fluency. This correlation remained when controlling for general cognitive ability and perceptual speed. Further, the purported indirect measure of ANS acuity in terms of the Numeric Distance Effect (NDE) was not reliable and showed no sign of predictive validity. The non-symbolic NDE for reaction time was significantly related to direct w estimates in a direction contrary to the expected. Easier stimuli were found to be more reliable, but only harder (7:8 ratio) stimuli contributed to predictive validity.

摘要

两项研究调查了常用近似数量系统敏锐度(ANS)测量和模型的可靠性和预测效度。研究 1 通过实证方法和在理想条件下模拟最大可获得可靠性来研究可靠性。结果表明,韦伯分数(w)的常见测量方法只有在使用大量试验时才可靠,即使在理想条件下也是如此。研究 2 在被试内设计中比较了不同声称的 ANS 敏锐度测量方法的收敛和预测效度,并评估了使用 ZEST 算法的自适应测试。结果表明,自适应测量方法可以减少达到可接受可靠性所需的试验次数。只有同时呈现刺激的非符号数量辨别直接测试与算术流畅性相关。当控制一般认知能力和感知速度时,这种相关性仍然存在。此外,以数字距离效应(NDE)表示的所谓间接 ANS 敏锐度测量方法不可靠,没有预测效度的迹象。反应时的非符号 NDE 与直接 w 估计值呈相反方向显著相关。发现更容易的刺激更可靠,但只有更难(7:8 比)的刺激有助于预测效度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4445/3734355/1dd5506f469c/fpsyg-04-00510-g0001.jpg

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