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Cited by 585

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Assessing the Contribution of Distributed Leadership to School Improvement and Growth in Math Achievement

Heck, Ronald H., Hallinger, Philip·2009·American Educational Research Journal

Abstract

Although there has been sizable growth in the number of empirical studies of shared forms of leadership over the past decade, the bulk of this research has been descriptive. Relatively few published studies have investigated the impact of shared leadership on school improvement. This longitudinal study examines the effects of distributed leadership on school improvement and growth in student math achievement in 195 elementary schools in one state over a 4-year period. Using multilevel latent change analysis, the research found significant direct effects of distributed leadership on change in the schools’ academic capacity and indirect effects on student growth rates in math. The study supports a perspective on distributed leadership that aims at building the academic capacity of schools as a means of improving student learning outcomes.

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Metadata

Authors
Heck, R. H., & Hallinger, P.
Venue
American Educational Research Journal
Published
2009-09
Volume
46
Issue
3
Pages
659-689
ISSN
  • 0002-8312 (ISSN-L)
  • 1935-1011
OpenAlex
W2096274748
Cited by
585
References
4
FWCI
118.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Assessing the Contribution of Distributed Leadership to School Improvement and Growth in Math Achievement. https://app.cochat.ai/papers/10.3102/0002831209340042
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Heck, R. H., & Hallinger, P. (2009). Assessing the Contribution of Distributed Leadership to School Improvement and Growth in Math Achievement. American Educational Research Journal. https://doi.org/10.3102/0002831209340042

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.