School staff wellbeing: A network-based assessment of burnout.

Burnout is commonly associated with professions that entail a high rate of close relationships with other individuals or groups. This paper explores the association between burnout and interpersonal relationships using a relational, social network framework. We collected data on advice-seeking relationships among 102 teachers and administrative staff from a secondary school in Melbourne, Australia. Burnout was measured using the Burnout Assessment Tool and we focused on four core subscales: (1) exhaustion; (2) mental distance; (3) emotional impairment; and (4) cognitive impairment. We applied a particular class of statistical model for social networks called Exponential Random Graph Models (ERGMs) to shed new light on how level of burnout relates to formation of advice relations among school staff. Results indicated that high levels of overall burnout were linked to a higher number of advice-seeking ties among school staff. Additionally, teachers who scored high in cognitive impairment (i.e., difficulties in thinking clearly and learn new things at work) tended to seek and to provide advice to a greater number of others. Finally, school staff who scored high in exhaustion (i.e., a severe loss of energy that results in feelings of both physical and mental exhaustion) tended to be sought out less as advisors to others, while those high in mental distance (i.e., psychologically distancing oneself from others) were generally less likely to seek advice from other school staff. We discuss these findings drawing on Conservation of Resource theory. Notably, our results show that burnout is not only an individual-level problem, but that burnout is associated with reduced social connectivity in specific ways that may impact on how other school staff collaborate, culminating in a staff-wide overall impact that affects how schools function.

Work-related learning in the transition from higher education to work: The role of the development of self-efficacy and achievement goals.

BACKGROUND: Work-related learning is particularly important at the start of graduates' careers. Preparing students for work-related learning is a chief aim of higher education, demonstrating its relevance when investigating the transition to work. AIM: This study aimed to investigate the role of personal factors for work-related learning during the transition from higher education to work. This study took a longitudinal and person-centred approach by examining differences in work-related learning between different motivational profiles based on the conjoint development of self-efficacy and achievement goals. SAMPLE: Questionnaires were administered four times, starting in the beginning of students' final year of higher education until 4 months after graduation (N = 814). METHODS: In order to assess the development of the personal factors, different multi-indicator latent growth curve models were estimated. Afterwards, a multidimensional latent class growth analysis was used to identify latent profiles of participants with similar growth trajectories. Differences in work-related learning were investigated by a multivariate analysis of variance. RESULTS AND CONCLUSIONS: The results revealed an average increase in self-efficacy, learning-goal, and performance-approach orientation, indicating that the transition to work triggers change in these personal factors. Performance-avoidance orientation decreased on average. Four distinct motivational profiles were discerned: strongly efficacious and approach-oriented, moderate efficacious and approach-oriented, moderate efficacious and learning-oriented, and undecided profile. Furthermore, differences were found concerning work-related learning, in which the strongly efficacious and approach-oriented profile reported more participation in formal and informal learning activities using personal sources, while the undecided profile showed least participation in the latter.