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, 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

Abstract

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 (χ2 = 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.

Keywords: employability; factor structure; health prevention; reliability; resilience; validity.

Conflict of interest statement

The funding for this study was provided by expertise center Tech for Future in the Netherlands: number TFF150101. The funding source had no role in the design, practice or analysis of this study. Authors declare no Conflict of Interests for this article.

© 2019 The Authors. Journal of Occupational Health published by John Wiley & Sons Australia, Ltd on behalf of The Japan Society for Occupational Health.

Figures

Figure 1
Figure 1
Factor loadings and correlations between factors of Confirmatory Factor Analysis structure of model 4 as presented in Table 2
Figure 2
Figure 2
(A, B) Factor loadings and correlations between factors of Confirmatory Factor Analysis structure of a one‐factor structure (A) and a two‐factor structure (B) including factor loadings. Figure 2A represents Model 7 and figure 2B represents model 8

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