Why Most Studies of Individual Differences With Inhibition Tasks Are Bound To Fail

Author:

Rouder JeffreyORCID,Kumar Aakriti,Haaf Julia M.

Abstract

Establishing correlations among common inhibition tasks such as Stroop or flanker tasks has been proven quite difficult despite many attempts. It remains unknown whether this difficulty occurs because inhibition is a disparate set of phenomena or whether the analytical techiques to uncover a unified inhibition phenomenon fail in real-world contexts. In this paper, we explore the field-wide inability to assess whether inhibition is unified or disparate. We do so by showing that ordinary methods of correlating performance including those with latent variable models are doomed to fail because of trial noise (or, as it is sometimes called, measurement error). We then develop hierarchical models that account for variation across trials, variation across individuals, and covariation across individuals and tasks. These hierarchical models also fail to uncover correlations in typical designs for the same reasons. While we can charaterize the degree of trial noise, we cannot recover correlations in typical designs that enroll hundreds of people. We discuss possible improvements to study designs to help uncovering correlations, though we are not sure how feasible they are.

Publisher

Center for Open Science

Cited by 52 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3