Evidence map›Paper›PMID 29983726›Full record

ArticleJournal of occupational medicine and toxicology (London, England)2018

"Areas of Worklife scale" (AWS) short version (Spanish): a confirmatory factor analysis based on a secondary school teacher sample.

B Masluk, S Gascón Santos, A Albesa Cartagena, A Asensio Martinez, E Peck, M P Leiter

Abstract read
In one paragraph

Article in Journal of occupational medicine and toxicology (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Psychometric Properties of the Areas of Worklife Survey in an Industrial Context in Thailand.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
    Article
  2. Article
  3. Psychometric Validity of the Areas of Work Life Scale (AWS) in Teachers and Healthcare Workers in México.European journal of investigation in health, psychology and education · 2023
    Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

B Masluk1Department of Psychology and Sociology, University of Zaragoza, C/ Pedro Cerbuna 12, 50009 Zaragoza, Spain.ORCID 0000-0001-9887-2250
S Gascón Santos1Department of Psychology and Sociology, University of Zaragoza, C/ Pedro Cerbuna 12, 50009 Zaragoza, Spain.
A Albesa Cartagena1Department of Psychology and Sociology, University of Zaragoza, C/ Pedro Cerbuna 12, 50009 Zaragoza, Spain.
A Asensio Martinez1Department of Psychology and Sociology, University of Zaragoza, C/ Pedro Cerbuna 12, 50009 Zaragoza, Spain.
E Peck4Psychology Department, Acadia University, 24 Highland Avenue, Box 220, Wolfville, NS B4P 2R6 Canada.
M P Leiter3School of Psychology, Deakin University, Post: 221 Burwood Hwy, Burwood, Geelong, VIC 3125 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examines the construct validity of the Areas of Worklife Short Scale, a practical instrument to measure employees' perceptions of their work environments in the sample of secondary obligatory education teachers in Spain.

methodsConducted in 33 centers of secondary obligatory education in Spain (

resultsResults confirmed that the short AWS short version had the best fit to the data than any other model proposed (GFI-Satorra-Bentler scaled chi-squared = 320.19, × 2/

conclusionsThis analysis ultimately supports the appropriateness of AWS short version to explore areas of worklife and therefore can indicate the factors that contribute to burnout in the sample of secondary obligatory education teachers in Spain. Therefore it has been confirmed that this tool is able to assess the 6 domains of work environment of secondary schools teachers.

Indexed as

Areas of WorklifeBurnout, valuesConfirmatory factor analysisControl

Identifiers

PMID29983726
PMCPMC6019827

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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.