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

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 eva...

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Autores principales: Spector, Paul E., Gray, Cheryl E., Rosen, Christopher C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362413/
https://www.ncbi.nlm.nih.gov/pubmed/35968523
http://dx.doi.org/10.1007/s10869-022-09838-8
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author Spector, Paul E.
Gray, Cheryl E.
Rosen, Christopher C.
author_facet Spector, Paul E.
Gray, Cheryl E.
Rosen, Christopher C.
author_sort Spector, Paul E.
collection PubMed
description 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.
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spelling pubmed-93624132022-08-10 Are Biasing Factors Idiosyncratic to Measures? A Comparison of Interpersonal Conflict, Organizational Constraints, and Workload Spector, Paul E. Gray, Cheryl E. Rosen, Christopher C. J Bus Psychol Original Paper 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. Springer US 2022-08-06 /pmc/articles/PMC9362413/ /pubmed/35968523 http://dx.doi.org/10.1007/s10869-022-09838-8 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Spector, Paul E.
Gray, Cheryl E.
Rosen, Christopher C.
Are Biasing Factors Idiosyncratic to Measures? A Comparison of Interpersonal Conflict, Organizational Constraints, and Workload
title Are Biasing Factors Idiosyncratic to Measures? A Comparison of Interpersonal Conflict, Organizational Constraints, and Workload
title_full Are Biasing Factors Idiosyncratic to Measures? A Comparison of Interpersonal Conflict, Organizational Constraints, and Workload
title_fullStr Are Biasing Factors Idiosyncratic to Measures? A Comparison of Interpersonal Conflict, Organizational Constraints, and Workload
title_full_unstemmed Are Biasing Factors Idiosyncratic to Measures? A Comparison of Interpersonal Conflict, Organizational Constraints, and Workload
title_short Are Biasing Factors Idiosyncratic to Measures? A Comparison of Interpersonal Conflict, Organizational Constraints, and Workload
title_sort are biasing factors idiosyncratic to measures? a comparison of interpersonal conflict, organizational constraints, and workload
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362413/
https://www.ncbi.nlm.nih.gov/pubmed/35968523
http://dx.doi.org/10.1007/s10869-022-09838-8
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