Measurement properties and implications of the Brief Resilience Scale in healthy workers

Remko Soer*, Marianne W.M.C. Six Dijkstra, Hendrik J. Bieleman, Roy E. Stewart, Michiel F. Reneman, Frits G.J. Oosterveld, Karlein M.G. Schreurs

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Objectives: The aim of this study was to study measurement properties of the Dutch Language Version of the Brief Resilience Scale (BRS-DLV) in blue and white collar workers employed at multiple companies and to compare the validity and factor structure to other language versions. Methods: Workers (n = 1023) were assessed during a cross-sectional health surveillance. Construct validity was tested with exploratory and confirmatory factor analyses (EFA and CFA) and hypothesis testing. Reliability was tested with Cronbach's alpha. Results: A two-factor structure of the BRS-DLV had good model fit in both EFA and CFA, which could be explained by difficulties of workers with reversed order items. After excluding these inconsistent answering patterns, a one-factor structure showed good model fit resembling the original BRS (χ 2 = 16.5; CFI & TLI = 0.99; SRMR = 0.02;RMSEA = 0.04). Internal consistency is sufficient (Cronbach's α = 0.78). All five hypotheses were confirmed, suggesting construct validity. Conclusions: Reliability of the BRS-DLV is sufficient and there is evidence of construct validity. Inconsistent answering, however, caused problems in interpretation and factor structure of the BRS-DLV. This can be easily detected and handled because item 2, 4 and 6 are in reversed order. Other language versions differ in factor structure, most likely because systematic errors are not corrected for. To collect valid data, it is advised to be aware of inconsistent answering of respondents.

Original languageEnglish
Pages (from-to)242-250
Number of pages9
JournalJournal of Occupational Health
Issue number3
Early online date22 Mar 2019
Publication statusPublished - May 2019


  • Employability
  • Factor structure
  • Health prevention
  • Reliability
  • Resilience
  • Validity


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