Methods for the detection of carelessly invalid responses in survey data
Methods for the detection of carelessly invalid responses in survey data
复制标题
DOI：
10.1016/j.jesp.2015.07.006
复制
发表时间：
2016-09-01
影响因子：
3.5
通讯作者：
Curran, Paul G.
中科院分区：
文献类型：
--
作者：
Curran, Paul G.
自我报告数据收集，特别是通过在线测量，在实验和非实验心理学中普遍存在。由于多种原因，此类数据集合中可能存在无效数据。原因之一是粗心或不够努力 (C/IE) 响应。在过去的十年中，对在正常分析之前检测和删除这些数据的技术的研究有所增加（Huang, Curran, Keeney, Poposld, & DeShon, 2012；Johnson, 2005；Meade & Craig, 2012）。严格使用这些技术是消除可能影响调查结果的错误的宝贵工具（Huang, Liu,.& Bowling, 2015）。这项研究涵盖了心理学的许多子领域，本文旨在将不同的观点整合到对现有技术的回顾和评估、新技术的介绍以及实际使用的建议中。每当收集自我报告数据时，对 C/IE 反应的担忧都是一个因素，所有此类研究人员都应该精通检测这种反应模式的方法。 (C) 2015 Elsevier Inc. 保留所有权利。
Self-report data collections, particularly through online measures, are ubiquitous in both experimental and non experimental psychology. Invalid data can be present in such data collections for a number of reasons. One reason is careless or insufficient effort (C/IE) responding. The past decade has seen a rise in research on techniques to detect and remove these data before normal analysis (Huang, Curran, Keeney, Poposld, & DeShon, 2012; Johnson, 2005; Meade & Craig, 2012). The rigorous use of these techniques is valuable tool for the removal of error that can impact survey results (Huang, Liu,.& Bowling, 2015). This research has encompassed a number of sub-fields of psychology, and this paper aims to integrate different perspectives into a review and assessment of current techniques, an introduction of new techniques, and a generation of recommendations for practical use. Concerns about C/IE responding are a factor any time self-report data are collected, and all such researchers should be well-versed on methods to detect this pattern of response. (C) 2015 Elsevier Inc. All rights reserved.