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The Relationship between Emotional Labor Strategies and Job Performance of Rotating Teachers: A Latent Profile Analysis

Huanfang Wang1,*, Xinyi Li1, Fangfang Zhao2, Ximeng Cui3, Weijian Li4

1 College of Teacher Education, Zhejiang Normal University, Jinhua, 321004, China
2 College of Early-Childhood Education, Nanjing Xiaozhuang University, Nanjing, 211171, China
3 Normal School, Jinhua University of Vocational Technology, Jinhua, 321007, China
4 College of Psychology, Zhejiang Normal University, Jinhua, 321004, China

* Corresponding Author: Huanfang Wang. Email: email

(This article belongs to the Special Issue: Latent Profile Analysis in Mental Health Research: Exploring Heterogeneity through Person Centric Approach)

International Journal of Mental Health Promotion 2025, 27(11), 1813-1827. https://doi.org/10.32604/ijmhp.2025.069623

Abstract

Background: In China, the policy of rotating teachers between urban and rural schools has been implemented to reduce educational disparities and ensure equitable access to quality education. These teachers face unique professional and emotional challenges during the rotation process, making their emotional labor a critical factor influencing their job performance. This study aimed to explore the relationship between rotating teachers’ emotional labor strategies and job performance. Methods: This study conducted a cross-sectional survey among 577 rotating teachers selected through stratified random sampling from primary and secondary schools in mainland China. Date were collected using the Teacher Emotional Labor Scale and the Teacher Job Performance Scale. Latent profile analysis (LPA) was employed to identify distinct categories of emotional labor strategies: indifferent, moderately engaged, naturally invested, proactively adjusted, and emotionally elevated. Results: Teachers in the naturally invested and proactively adjusted types demonstrated relatively higher job performance scores, followed by those in the emotionally elevated type. In contrast, teachers in the indifferent and moderate engagement types exhibited comparatively lower scores (F = 25.858, p < 0.001, η2 = 0.153). These findings indicate a practical significance, suggestion that flexible and adaptive use emotional labor strategies is strongly associated with enhanced job performance. Conclusion: This study demonstrates that rotating teachers’ job performance differs significantly across distinct emotional labor profiles, with balanced and adaptive emotional regulation emerging as a key determinant of higher performance. By identifying and characterizing individual-centered emotional labor profiles, the study advances understanding of how emotional regulation contributes to teachers’ professional effectiveness. These results underscore the importance of providing systematic and personalized support to help rotating teachers develop adaptive emotional regulation skills. Targeted guidance should enable teachers to appropriately express and adjust their emotions, thereby avoiding both excessive and insufficient emotional labor and promoting sustainable professional development.

Keywords

Rotating teacher; emotional labor strategies; job performance; latent profile analysis; emotional regulation

Cite This Article

APA Style
Wang, H., Li, X., Zhao, F., Cui, X., Li, W. (2025). The Relationship between Emotional Labor Strategies and Job Performance of Rotating Teachers: A Latent Profile Analysis. International Journal of Mental Health Promotion, 27(11), 1813–1827. https://doi.org/10.32604/ijmhp.2025.069623
Vancouver Style
Wang H, Li X, Zhao F, Cui X, Li W. The Relationship between Emotional Labor Strategies and Job Performance of Rotating Teachers: A Latent Profile Analysis. Int J Ment Health Promot. 2025;27(11):1813–1827. https://doi.org/10.32604/ijmhp.2025.069623
IEEE Style
H. Wang, X. Li, F. Zhao, X. Cui, and W. Li, “The Relationship between Emotional Labor Strategies and Job Performance of Rotating Teachers: A Latent Profile Analysis,” Int. J. Ment. Health Promot., vol. 27, no. 11, pp. 1813–1827, 2025. https://doi.org/10.32604/ijmhp.2025.069623



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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