Test Less, Estimate More: Apply Estimation Thinking to Enhance Theoretical Precision in Educational Leadership Research

Purpose This article promotes estimation thinking as both a methodological stance and a logic of theorizing aimed at enhancing theoretical precision. Estimation thinking is defined as an inferential approach that moves beyond null hypothesis significance testing by emphasizing effect-size estimation, acknowledging uncertainty, and accumulating evidence through meta-analytic synthesis. Theoretical precision, in turn, refers to the extent to which a theory makes specific, testable predictions about relationships. To operationalize theoretical precision, this article proposes a quantitative research framework that applies estimation thinking to two key criteria for evaluating theories: utility and falsifiability. Proposed Framework In the proposed framework, to increase theoretical utility, researchers are recommended to model contextual variations (e.g., conditions and effect heterogeneity) and address endogeneity. To strengthen the falsifiability of theories, researchers are recommended to specify the uncertainty (e.g., confidence or credible intervals), magnitude (e.g., a range of values or a point value via effect sizes), and form (e.g., linear, curvilinear with its peak at a particular point, or logarithmic) of relationships between constructs. Implications The proposed framework aligns empirical inquiry with theoretical precision, which helps bring the empirical “foot” and theoretical “foot” of educational leadership into synchronization. By focusing on inferential accuracy and the nature of relationships, the proposed framework provides a path toward more applicable and testable theories in an applied field of educational leadership.