Site selection in school district research: a measure of effectiveness using hierarchical longitudinal growth models of performance

Abstract

School districts in the USA are an active area of study in education research as findings have shown that some districts find success in certain contexts while others struggle. However, the research domain has had few actionable methods for site selection for in-depth qualitative studies. This study analyses all districts in the state of Ohio (n = 610) from 2005–2006 through 2012–2013 using a two-level hierarchical linear growth model to identify districts that significantly outperform or underperform background and demographic variables in the Ohio Performance Index (PI) Score, factors outside the influence of the district administration. The aim of the study is to provide a framework for selecting comparison and contrast sites for district effectiveness research (DER). Additionally, the model captures school-level variance within districts controlling for average district performance. Fifteen outperforming districts are named as potential sites for in-depth qualitative studies of district effects in comparison to similar districts at the norm.

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