Evidence map›Paper›PMID 22402959›Full record

ArticleInternational archives of occupational and environmental health2013

Psychometric properties of the Farsi version of effort-reward imbalance questionnaire: a longitudinal study in employees of a synthetic fibre factory in Iran.

Ghasem Yadegarfar, Tahereh Alinia, Reihane Hosseini, Razieh Hassannejad, Mahsa Fayaz, Javad Sanati, Kave Sanati, Jalal Harandi, Vahid Hajnoorozali, Mahmood-Reza Baghi and 2 more

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Article in International archives of occupational and environmental health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Ghasem YadegarfarBiostat and Epidemiology Department, School of Public Health, Isfahan University of Medical Sciences, 81799-64793 Isfahan, Iran. g_yadegarfar@yahoo.co.uk
Tahereh Alinia
Reihane Hosseini
Razieh Hassannejad
Mahsa Fayaz
Javad Sanati
Kave Sanati
Jalal Harandi
Vahid Hajnoorozali
Mahmood-Reza Baghi
Enayat Mirzavand
Azeem Majeed
Isfahan University of Medical Sciences · IRImperial College London · GBUniversity of Glasgow · GBUrmia University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the reliability and validity of the Farsi version of the effort-reward imbalance questionnaire (F-ERIQ) and to examine the responsiveness of the tool to changes over time.

methodsA longitudinal study was carried out among 227 male employees of Iran Polyacryl Corporation. The F-ERIQ was developed through a forward-backward translation process that includes three scales of effort, reward and over-commitment (OC). Reliability and internal consistency of the F-ERIQ were assessed by split-half and Cronbach's alpha coefficients. Confirmatory factor analysis, convergent and discriminant validity were conducted to evaluate construct validity. Depressive mood was used as an indicator for exploring criterion validity. The variations in mean scores over time for scales were regarded as measures of the responsiveness to changes.

resultsBaseline split-half correlations for effort, reward and OC were 0.53, 0.85 and 0.65, respectively; Cronbach's alpha coefficients improved from 0.61 to 0.70 for effort, 0.85 to 0.88 for reward and 0.67 to 0.72 for OC. All of item-total correlations were higher than 0.23 and item-scales correlations were higher than 0.4. Although Values of Goodness of Fit Index and Adjusted GFI were higher than 0.9 and Root Mean Square Error of Approximation, Root Mean Square Residual and Standardized RMR were lower than 0.05, confirmatory factor analysis only confirmed the construct of the effort and OC. People with higher job stress were at higher risk of depressive mood (at least 3 times more). Overall, the mean score of effort, OC and ERI increase, and the figures decrease for reward among people who experience changes.

conclusionsThese findings provide evidence that the F-ERIQ is a reliable and valid instrument for assessing psychosocial stress at work among Farsi-speaking male employees. We propose that F-ERIQ be further evaluated across a variety of jobs and industries.

Indexed as

Job SatisfactionSurveys and QuestionnairesAdultDepressionHumansIranLanguageLongitudinal StudiesMaleMiddle AgedPsychometricsReproducibility of ResultsRewardStress, PsychologicalTextilesYoung Adult

Identifiers

PMID22402959
OpenAlexW2065789019

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.