Exclusion Criteria as Measurements II: Effects on Utility Functions

Teacher well-being and turnover intentions: Investigating the roles of job resources and job demands

BACKGROUND

Identifying factors implicated in teachers' well-being and turnover intentions is important for driving research, policy, and practice to better support teachers in their work.

AIMS

This study examined the role of three job resources (autonomy-supportive leadership, relatedness with colleagues and students) and three job demands (autonomy-thwarting leadership, time pressure, disruptive student behaviour) in relation to teacher well-being (subjective vitality, behavioural engagement, professional growth) and turnover intentions.

SAMPLE

Participants were 426 Australian school teachers.

METHODS

Structural equation modelling was used to examine main associations and interactions among factors. Teachers' characteristics (gender, teaching experience and educational qualification) and personality factors served as controls in all analyses.

RESULTS

The job resources were generally positively associated with the well-being factors, whereas time pressure was negatively associated with vitality, but positively associated with behavioural engagement. In addition, relatedness with colleagues and subjective vitality were negatively associated with turnover intentions, whereas the reverse was true for autonomy-thwarting leadership and time pressure. There were no interaction terms retained in the final model.

CONCLUSION

Taken together, findings yield understanding about the salient resources and demands in relation to teachers' well-being and turnover intentions (beyond the role of background characteristics and personality factors).

Rural population’s preferences matter: a value set for the EQ-5D-3L health states for China’s rural population

Purpose

To develop an EQ-5D-3L social value set based on Chinese rural population’s preferences using the time trade-off (TTO) method, and to compare the differences in preferences on health states between China urban and rural population.

Methods

Between Sep 2013 and Nov 2013, a total of 1201 participants were recruited from rural areas of five Chinese cities (Beijing, Chengdu, Guiyang, Nanjing, and Shenyang) using a quota sampling method. Each respondent valued 13 health states using the TTO, and a total of 97 EQ-5D-3L health states were directly valued for estimating the value set. Various models with different specifications were explored at both aggregate and individual levels. The final model was determined by a set of predefined selection criteria.

Findings

An ordinary least square model at the aggregate level included 10 dummy variables for specifying the level 2 and 3 for each dimension and an N3 term presenting any dimension on level 3 was selected as the final model. The final model provides a value set ranges from − 0.218 to 0.859. The predicted utility values were highly correlated with but consistently lower than that of the published Chinese EQ-5D-3L value set (for urban population).

Conclusion

The availability of the China rural value set provides a set of social preferences weights for researchers and policy decision-makers for use in China rural area.