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Dataset Information

Network analysis of job burnout, job performance, and affect among part-time university faculty: educational implications.


ABSTRACT:

Background

Job burnout poses a significant challenge to the sustainability of higher education, particularly by undermining teaching quality and job performance through emotional depletion. Despite evidence linking burnout, affect, and performance, the complex interplay among these factors remains underexplored, especially among part-time university faculty. This cross-sectional study employed network analysis to examine the interrelations among burnout dimensions, affective states, and job performance outcomes, with a particular focus on gender differences.

Methods

A cross-sectional survey was conducted between March and August 2024, involving 1,020 part-time faculty members at Xinjiang Normal University. Participants completed validated instruments assessing job burnout (M

SUBMITTER: Feng T 

PROVIDER: S-EPMC12574110 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature