自我报告工具中极端反应风格的控制方法综述

A. Costa, N. H. Filho
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引用次数: 1

摘要

回应风格是回应自我报告项目的系统方式,可能会影响工具得分的有效性和准确性。其中一种偏差是极端反应(ER),当一个人倾向于只使用反应量表中的极端评分类别(例如,完全不同意或完全同意)时,就会发生这种偏差,而不考虑项目的内容。人们开发了许多不同的方法,旨在识别和控制极端反应,以更准确地评估个体的特征。本研究的目的是对自我报告心理测量工具中极端反应统计控制的这些主要技术进行系统的回顾。我们确定了几种分析方法,我们将其组织成七个集群,从简单的极端反应数量计数到现代统计方法的使用,作为单一和多维的项目反应理论。讨论了每种方法的优点和局限性。我们还提供了一个概述我们发现的不同可用方法的一般图表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods for the Control of Extreme Response Styles in Self-Report Instruments: A Review
Response styles are systematic ways of responding to self-report items that may impact the validity and the precision of scores from instruments. One of these biases is extreme responding (ER), which occurs when a person tends to use only extreme rating categories from a response scale (e.g., totally disagree or totally agree), irrespective of item content. Many diff erent methods were developed that aim to identify and control extreme responses to provide a more accurate assessment of an individual’s trait. The aim of this study is to perform a systematic review of these main techniques for statistical control of extreme responses in psychometric instruments of self-report. We identifi ed several analytical approaches, which we organized into seven clusters, from simple count of the numbers of extreme response to the use of modern statistics methods, as Item Response Theory uni and multidimensional. Advantages and limitations of each method are discussed. We also present a general diagram that summarizes the distinct available methods we found.
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