| Literature DB >> 33304415 |
Thomas Höge1, Cornelia Strecker1, Melanie Hausler1,2, Alexandra Huber1,2, Stefan Höfer2.
Abstract
Previous research demonstrated that the applicability of signature character strengths at work is associated with employee well-being. However, there is a lack of research on possible antecedents of the applicability of signature character strengths in the occupational domain. In this study we examined whether the perceived socio-moral climate of medical departments has a positive impact on the applicability of hospital physicians' signature character strengths and whether it relates to work engagement, hedonic subjective well-being (SWB) and eudaimonic psychological well-being (PWB). Based on cross-sectional data of N = 165 hospital physicians in Austria, we tested mediation models with perceived socio-moral climate as predictor, applicability of signature character strengths as mediator, and work engagement, SWB and PWB as outcomes. Additionally, we collected longitudinal data (time-lag T1-T2: 6 months) from a sub-sample (n = 69) for testing the relationship between the perceived socio-moral climate and the applicability of signature character strengths over time. The cross-sectional results showed indirect effects of the perceived socio-moral climate on work engagement and eudaimonic well-being via the applicability of signature character strengths at work. Results from a cross-lagged panel analysis suggested an impact of socio-moral climate at T1 on the applicability of signature character strengths 6 months later (T2), but also an even stronger reversed effect of the applicability of signature character strengths at T1 on perceived socio-moral climate at T2.Entities:
Keywords: Applicability of character strengths; Character strengths; Hospital physicians; Signature strengths; Socio-moral climate; Well-being; Work engagement
Year: 2019 PMID: 33304415 PMCID: PMC7116458 DOI: 10.1007/s11482-018-9697-x
Source DB: PubMed Journal: Appl Res Qual Life ISSN: 1871-2576
Fig. 1Hypothetical mediation model. Note. SMC: Socio-moral climate; ASCS-W: Applicability of signature character strengths at work; SWB: Subjective well-being (hedonic); PWB: Psychological well-being (eudaimonic)
Means, standard deviations, intercorrelations.
|
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| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Sex (1 = female; 2 = male) | – | – | |||||||||
| 2 | Age (T1) | 33.44 | 6.73 | .00 | ||||||||
| 3 | SMC (T1) | 2.73 | 0.78 | .01 | –.07 | (.93) | ||||||
| 4 | SMC (T2) | 2.58 | 0.75 | .03 | –.15 | .60 | (.91) | |||||
| 5 | ASCS-W (T1) | 3.89 | 0.53 | –.03 | .09 | .37 | .48 | (.80) | ||||
| 6 | ASCS-W (T2) | 3.76 | 0.57 | .05 | –.03 | .33 | .52 | .55 | (.79) | |||
| 7 | Work Engagement (T1) | 3.65 | 1.12 | –.03 | –.05 | .27 | .29 | .43 | .37 | (.94) | ||
| 8 | PWB (eudaimonic) (T1) | 3.85 | 0.40 | –.09 | –.01 | .23 | .35 | .34 | .45 | .55 | (.92) | |
| 9 | SWB (hedonic) (T1) | 3.92 | 0.73 | –.06 | .02 | .20 | .28 | .17 | .28 | .52 | .77 | (.96) |
Pearson-correlations T1/T1: N = 165; Pearson-correlations T1/T2 and T2/T2: N = 69; *p < .05, ** p < .01 (two-tailed)
M Mean, SD standard deviation, matrix diagonal Cronbach’s Alpha (scale reliability), SMC Socio-moral climate, ASCS-W Application of signature character strengths at work, PWB Psychological well-being (eudaimonic), SWB Subjective well-being (hedonic)
Mediation model predicting work engagement (T1)
| Outcome: Work Engagement | β |
| 95% CI |
|---|---|---|---|
| SMC ➔ Work Engagement (total effect) | .27 | <.001 | [.12, .42] |
| SMC ➔ ASCS-W | .37 | <.001 | [.22, .51] |
| ASCS-W ➔ Work Engagement[ | .38 | <.001 | [.23, .53] |
| SMC ➔ Work Engagement (direct effect) | .13 | .04 | [.001, .28] |
| SMC ➔ ASCS-W ➔ Work Engagement (indirect effect) | .14 | <.001[ | [.07, .23] |
N = 165
SMC Socio-moral climate, ASCS-W Applicability of signature character strengths at work, β Standardized regression coefficient, p probability level (one-tailed), 95% CI bootstrap confidence interval (95%)
Sobel Test
controlled for SMC
Fig. 2Results for the mediation model predicting work engagement (T1). Note. N = 165; *p < .05, ** p < .01, n.s.: non-significant (one-tailed); standardized regression coefficients; SMC: Socio-moral climate; ASCS-W: Applicability of signature character strengths at work R = determination coefficient (explained variance); c: total effect without controlling for indirect effect
Mediation model predicting PWB (T1).
| Outcome: PWB (eudaimonic) | β |
| 95% CI |
|---|---|---|---|
| SMC ➔ PWB (total effect) | .23 | .002 | [.07, .38] |
| SMC ➔ ASCS-W | .36 | <.001 | [.22, .51] |
| ASCS-W ➔ PWB[ | .29 | <.001 | [.13, .45] |
| SMC ➔ PWB (direct effect) | .12 | .07 | [–.04, .29] |
| SMC ➔ ASCS-W ➔ PWB (indirect effect) | .11 | .004[ | [.04, .21] |
N = 165
PWB Psychological well-being (eudaimonic), SMC Socio-moral climate, ASCS-W Applicability of signature character strengths at work, β Standardized regression coefficient, p probability level (one-tailed), 95% CI bootstrap confidence interval (95%)
Sobel Test
controlled for SMC
Fig. 3Results for the mediation model predicting PWB (T1). Note. N = 165; *p < .05, ** p < .01, n.s.: non-significant (one-tailed); standardized regression coefficients; SMC: Socio-moral climate; ASCS-W: Applicability of signature character strengths at work; R = determination coefficient (explained variance); c: total effect without controlling for indirect effect
Mediation model predicting SWB (T1).
| Outcome: SWB (hedonic) | β |
| 95% CI |
|---|---|---|---|
| SMC ➔ SWB (total effect) | .20 | .01 | [.05, .36] |
| SMC ➔ ASCS-W | .36 | <.001 | [.41, .62] |
| ASCS-W ➔ SWB[ | .11 | .10 | [–.06, .27] |
| SMC ➔ SWB (direct effect) | .17 | .03 | [.001, .33] |
| SMC ➔ ASCS-W ➔ SWB (indirect effect) | .04 | .12[ | [–.03, .11] |
N = 165
SWB Subjective well-being (hedonic), SMC Socio-moral climate, ASCS-W Applicability of signature character strengths at work, β Standardized regression coefficient, p probability level (one-tailed), 95% CI bootstrap confidence interval (95%)
Sobel Test
controlled for SMC
Fig. 4Results for the mediation model predicting SWB (T1). Note. N = 165; *p < .05, ** p < .01, n.s.: non-significant (one-tailed); standardized regression coefficients; SMC: Socio-moral climate; ACSW: Applicability of signature character strengths at work; R = determination coefficient (explained variance); c: total effect without controlling for indirect effect
Fig. 5Results of the cross-lagged path-analysis for longitudinal relations between socio-moral climate and applicability of signature character strengths at work (T1/T2, time lag: 6 months). Note. N = 69. *p < .05, ** p < .01 (one-tailed), standardized regression coefficients; SMC: Socio-moral climate; ASCS-W: Applicability of signature character strengths at work