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偏差因素是否因测量方式而异?人际冲突、组织约束与工作量的比较。

Are Biasing Factors Idiosyncratic to Measures? A Comparison of Interpersonal Conflict, Organizational Constraints, and Workload.

作者信息

Spector Paul E, Gray Cheryl E, Rosen Christopher C

机构信息

School of Information Systems and Management, Muma College of Business, University of South Florida, Tampa, FL 33620 USA.

Department of Psychology, University of South Florida, Tampa and Montclair State University, Montclair, NJ USA.

出版信息

J Bus Psychol. 2022 Aug 6:1-20. doi: 10.1007/s10869-022-09838-8.

Abstract

Widespread concern has been raised about the possibility of potential biasing factors influencing the measurement of organizational variables and distorting inferences and conclusions reached about them. Recent research calls for a measure-centric approach in which every measure is independently evaluated to assess what factor(s) may uniquely bias it. This paper examines three popular stressor measures from this perspective. Across three studies, we examine factors that may bias three popular measures of job stressors: The Interpersonal Conflict at Work Scale (ICAWS), the Organizational Constraints Scale (OCS), and the Quantitative Workload Inventory (QWI). The first study used a two-wave design to survey 276 MTurk workers to assess the three stressor scales, four strains, and five measures of potential bias sources: hostile attribution bias, negative affectivity, mood, neutral objects satisfaction, and social desirability. The second study used an experimental design with 439 MTurk workers who were randomly assigned to a positive, negative, or no mood induction condition to assess effects on means of the three stressor measures and their correlations with strains. The third study surveyed 161 employee-supervisor dyads to explore the convergence of results involving the three stressor measures across sources. Based on several forms of evidence we conclude that potential biasing factors affect the three stressor measures differently, supporting the merits of a measure centric approach, even among measures in the same domain.

摘要

人们普遍担心,潜在的偏差因素可能会影响组织变量的测量,并扭曲由此得出的推论和结论。最近的研究呼吁采用一种以测量为中心的方法,即对每一项测量进行独立评估,以确定哪些因素可能会对其产生独特的偏差。本文从这一角度审视了三种常用的压力源测量方法。在三项研究中,我们考察了可能使三种常用的工作压力源测量方法产生偏差的因素:工作中的人际冲突量表(ICAWS)、组织约束量表(OCS)和定量工作量量表(QWI)。第一项研究采用两波设计,对276名MTurk工人进行调查,以评估三种压力源量表、四种应变以及五种潜在偏差源的测量指标:敌意归因偏差、消极情感、情绪、中性客体满意度和社会期望。第二项研究采用实验设计,将439名MTurk工人随机分配到积极、消极或无情绪诱导条件下,以评估对三种压力源测量指标均值的影响及其与应变的相关性。第三项研究对161对员工-主管进行了调查,以探讨涉及三种压力源测量指标的结果在不同来源之间的一致性。基于多种形式的证据,我们得出结论,潜在的偏差因素对三种压力源测量方法的影响各不相同,这支持了以测量为中心的方法的优点,即使在同一领域的测量方法中也是如此。

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