Institutional Repository

The relationship between sense of coherence, work engagement and burnout in a Public-Sector organisation

Show simple item record

dc.contributor.advisor Harry, Nisha
dc.contributor.author Gallie, Fatima
dc.date.accessioned 2017-08-29T10:47:51Z
dc.date.available 2017-08-29T10:47:51Z
dc.date.issued 2016-09
dc.identifier.citation Gallie, Fatima (2016) The relationship between sense of coherence, work engagement and burnout in a Public-Sector organisation, University of South Africa, Pretoria, <http://hdl.handle.net/10500/23123>
dc.identifier.uri http://hdl.handle.net/10500/23123
dc.description.abstract The objective of this study was (i) to determine the relationship between sense of coherence, work engagement and burnout; and (ii) to determine whether, in terms of the various socio-demographic groups, namely, gender, age, race, marital status, number of years in current position and number of years in public service, the sample differed significantly in terms of their levels of sense of coherence, work engagement and burnout. A quantitative study, using primary data, was conducted using a convenience sample (N = 172) of middle managers in a public service organisation. The psychometric properties of the Orientation to Life Questionnaire, the Utrecht Work Engagement Scale and the Maslach Burnout Inventory Scale were investigated before the hypothesis was tested. The statistical analysis of the data included descriptive statistics as well as inferential statistics. The Kaiser-Meyer Olkin and Bartlett’s test of sphericity techniques were used to determine the exploratory factor analysis of all three measuring scales. A correlation analysis between the one-factor sense of coherence, one-factor work engagement and the three burnout sub-dimensions (exhaustion, cynicism and professional efficacy) was conducted. The Pearson product-moment correlation was used to determine the strength of the relationships between the variables. The level of significance was set at a 95% confidence interval level (p 􀀂􀀁0,05). Standard multiple regression analysis was used to establish whether there is a significant relationship between sense of coherence, work engagement and burnout. The Wilk’s lambda technique was used to test the results for significance, while Levene's test of equality of error variances technique was used to test the results for significance on the sense of coherence and work engagement scales with regard to the demographic groups. The results showed that there was a significant relationship between the participants’ sense of coherence, work engagement and burnout levels. Significant differences were also found between respondents in the marital status group and the burnout dimension, depersonalisation or cynicism. The results also reflected the wellbeing status of middle managers and indicated that the respondents were flourishing (feeling good as they scored a high sense of coherence and functioning well as indicated by a high score for work engagement). It is anticipated that the findings of the study will contribute valuable knowledge to employee wellbeing programmes in public service. The study concludes by making recommendations for future research practice. en
dc.format.extent 1 online resource (x, 148 leaves) : illustrations (chiefly color)
dc.language.iso en en
dc.subject Employee wellness en
dc.subject Middle managers en
dc.subject Public service en
dc.subject Sense of coherence en
dc.subject Work engagement en
dc.subject Burnout en
dc.subject.ddc 158.723
dc.subject.lcsh Sense of coherence en
dc.subject.lcsh Burn out (Psychology) -- South Africa en
dc.subject.lcsh Employee health promotion -- South Africa en
dc.title The relationship between sense of coherence, work engagement and burnout in a Public-Sector organisation en
dc.type Dissertation en
dc.description.department Industrial and Organisational Psychology en
dc.description.degree M. Com. (Industrial and Organisational Psychology)


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search UnisaIR


Browse

My Account

Statistics