Advancing Estimation Thinking in Educational Leadership Research: Methodological Innovations and Practical Implications

Session Type: Symposium

Abstract

This symposium explores the application and benefits of estimation thinking in educational leadership research through four comprehensive studies. Each study demonstrates innovative methodologies and practical implications for enhancing research accuracy and interpretability. The first paper investigates Bayesian methods addressing challenges in studying teacher emotion as a mediator of school leadership effects on student achievement. The second paper examines probabilistic reasoning in network analysis within educational leadership. The third paper introduces Bayesian statistical approaches in educational leadership and policy studies, using a case study on teachers' perceptions of school leadership and job satisfaction. The fourth paper analyzes the influence of expectations and belonging on science identity growth, utilizing estimation thinking with HSLS:09 data.

Sub Unit

• Division A - Administration / Division A - Section 1: Leadership

Chair

• Jiangang Xia, University of Nebraska - Lincoln

Papers

• Advancing Estimation Thinking in Educational Leadership: Teacher Emotion Mediating School Leadership Effects - Kenneth A. Leithwood, University of Toronto - OISE; Jingping Sun, University of Alabama; Kaiwen Man, University of Alabama; Cheng Hua, University of Montevallo; Chunhua Cao, University of Alabama

• Estimation Thinking in Network Analysis in Educational Leadership Research - Yinying Wang, Georgia State University

• Leveraging Bayesian Statistics in Educational Leadership and Policy Studies - Lei Jiang, University of Kansas; Jeff Harring, University of Maryland

• Influence of Expectations and Belonging on Science Identity: Estimation Thinking with HSLS:09 Data - Joonkil Ahn, University of Arizona

Discussant

• Kaiwen Man, University of Alabama