Literature DB >> 10901120

Item bias in indices measuring psychosocial work environment and health.

E Orhede1, S Kreiner.   

Abstract

OBJECTIVES: The main purpose of this study was to demonstrate the relevance of testing indices concerning the psychosocial work environment by item bias or differential item functioning (DIF) analysis. Especially when the work environment for different groups is compared, this kind of construct validation is important. As exogenous variables gender, age, and occupational group were selected.
METHODS: Data were taken from a cross-sectional study of Danish employees aged 19-59 years (N=5940). The study was carried out in 1990 and followed-up in 1995.
RESULTS: Item bias was demonstrated in all indices when analyzed in relation to gender, age, and occupational groups of the total population. Item bias was much weaker or disappeared as the population was divided into main occupational groups and analyzed in relation to the same exogenous variables.
CONCLUSIONS: For a heterogeneous group of employees, gender, age, and occupational status are significant determinants of the response pattern in relation to indices of the psychosocial work environment. It was concluded that, if the psychosocial work environment for different groups is to be compared, indices should always be tested for item bias in relation to the exogenous variables included in the final analyses. Indices should only be used if there is no item bias. If such indices cannot be constructed, it is suggested that researchers either concentrate on constructing indices that are valid in subgroups or report results based on single-item analyses.

Entities:  

Mesh:

Year:  2000        PMID: 10901120     DOI: 10.5271/sjweh.541

Source DB:  PubMed          Journal:  Scand J Work Environ Health        ISSN: 0355-3140            Impact factor:   5.024


  4 in total

1.  A rasch model to test the cross-cultural validity in the positive and negative syndrome scale (PANSS) across six geo-cultural groups.

Authors:  Anzalee Khan; Christian Yavorsky; Stacy Liechti; Mark Opler; Brian Rothman; Guillermo DiClemente; Luka Lucic; Sofija Jovic; Toshiya Inada; Lawrence Yang
Journal:  BMC Psychol       Date:  2013-03-11

2.  iWorkHealth: An instrument to identify workplace psychosocial risk factors for a multi-ethnic Asian working population.

Authors:  Edimansyah Abdin; Mythily Subramaniam; Angelina Chan; Jo-Ann Chen; Chee Leong Chong; Cheryl Wang; Michelle Lee; Siok Lin Gan
Journal:  PLoS One       Date:  2019-08-07       Impact factor: 3.240

Review 3.  Developing a Job Exposure Matrix of Work Organization Hazards in the United States: A Review on Methodological Issues and Research Protocol.

Authors:  BongKyoo Choi
Journal:  Saf Health Work       Date:  2020-06-09

4.  Cross-language differential item functioning of the job content questionnaire among European countries: the JACE study.

Authors:  Bongkyoo Choi; Jakob Blue Bjorner; Per-Olof Ostergren; Els Clays; Irene Houtman; Laura Punnett; Annika Rosengren; Dirk De Bacquer; Marco Ferrario; Maaike Bilau; Robert Karasek
Journal:  Int J Behav Med       Date:  2009
  4 in total

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