Evidence Hub

The relationship between principal instructional leadership and teacher self-efficacy in student engagement and classroom management: a cross-sectional study in China

Naiyuan Zhang, Y. Siaw, Na Jiang

Frontiers in Psychology, 2025

31 citations

Abstract

Introduction This study examines the relationship between principal instructional leadership and teacher self-efficacy in student engagement and classroom management within Chinese primary and secondary schools. Grounded in Bandura’s self-efficacy theory, it addresses two research questions: (1) What is the association between principal instructional leadership and teacher self-efficacy? (2) Which specific leadership dimensions most significantly predict teacher efficacy? Methods A quantitative research design was employed, with data collected from 459 teachers through two validated online instruments: the Educational Leadership Instrument (ELI) and the Teachers’ Sense of Efficacy Scale (TSES). Data analysis included descriptive statistics, correlation analysis, and multiple regression. Results Results demonstrated significant positive correlations between instructional leadership and teacher self-efficacy (r = 0.75–0.84, p < 0.01). Regression analysis identified “work environment support” (β = 0.488) and “teacher-student engagement promotion” (β = 0.518) as the strongest predictive dimensions of teacher efficacy. Discussion The findings underscore the pivotal role of instructional leadership in enhancing teachers’ confidence in student engagement and classroom management. This study contributes to leadership literature by highlighting culturally relevant dimensions in non-Western educational contexts, while offering practical implications for principal training programs and…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free