{"title":"Survey Design Moderates Negativity Bias but not Positivity Bias in Self-Reported Job Stress","authors":"Roman Pauli, Jessica Lang","doi":"10.1027/1015-5759/a000806","DOIUrl":null,"url":null,"abstract":"Abstract: Self-report measures are both frequently used and criticized in studies of job-related stress. The question remains whether affective dispositions lead to biased assessments. In this study, we examine the extent to which survey characteristics are susceptible to bias by the characteristics of the person making the assessment. Participants ( N = 1,509) in an online split ballot experiment were randomly assigned to report their job stressors using a 2 (task vs. person-related items) × 2 (frequency vs. agreement response format) factorial design. Participants high in neuroticism or negative affectivity, but not positive affectivity, reported more job stressors when responding to person-related items compared to task-related items. Individuals high in neuroticism reported more job stressors when assessed with agreement compared to frequency response format. However, the response format did not alter the relationship between self-reported job stressors and positive or negative affectivity. Findings indicate how survey design can reinforce affectivity bias in the assessments of job stressors. If an assessment is intended to evaluate objective circumstances rather than subjective experiences at work (e.g., the presence of general risk factors within psychosocial risk assessment), it is recommended to employ condition-related questionnaires with task-related item wordings and frequency response formats.","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":" 12","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1027/1015-5759/a000806","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract: Self-report measures are both frequently used and criticized in studies of job-related stress. The question remains whether affective dispositions lead to biased assessments. In this study, we examine the extent to which survey characteristics are susceptible to bias by the characteristics of the person making the assessment. Participants ( N = 1,509) in an online split ballot experiment were randomly assigned to report their job stressors using a 2 (task vs. person-related items) × 2 (frequency vs. agreement response format) factorial design. Participants high in neuroticism or negative affectivity, but not positive affectivity, reported more job stressors when responding to person-related items compared to task-related items. Individuals high in neuroticism reported more job stressors when assessed with agreement compared to frequency response format. However, the response format did not alter the relationship between self-reported job stressors and positive or negative affectivity. Findings indicate how survey design can reinforce affectivity bias in the assessments of job stressors. If an assessment is intended to evaluate objective circumstances rather than subjective experiences at work (e.g., the presence of general risk factors within psychosocial risk assessment), it is recommended to employ condition-related questionnaires with task-related item wordings and frequency response formats.
期刊介绍:
ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric.
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