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Cited by 286

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Academic Emphasis of Urban Elementary Schools and Student Achievement in Reading and Mathematics: A Multilevel Analysis

Goddard, Roger D., Sweetland, Scott R., Hoy, Wayne K.·2000·Educational Administration Quarterly

Abstract

This research examines the importance of a school climate characterized by high levels of academic emphasis. Effective schools research is reviewed to develop a conceptual model undergirding the measurement of academic emphasis. In addition, social cognitive theory is employed as a theoretical framework explaining the development and effect of academic emphasis on student achievement. With the use of hierarchical linear modeling, the authors show that academic emphasis is important to differences among urban elementary schools in student mathematics and reading achievement. The relationship between current academic achievement and students’ prior achievement and demo- graphic characteristics is also modeled in this study.

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Crossref · 10.1177/00131610021969164

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Metadata

Authors
Goddard, R. D., Sweetland, S. R., & Hoy, W. K.
Venue
Educational Administration Quarterly
Published
2000-12
Volume
36
Issue
5
Pages
683-702
ISSN
  • 0013-161X (ISSN-L)
  • 1552-3519
OpenAlex
W2107590162
Cited by
286
References
3
FWCI
19.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Academic Emphasis of Urban Elementary Schools and Student Achievement in Reading and Mathematics: A Multilevel Analysis. https://app.cochat.ai/papers/10.1177/00131610021969164
The paper
Goddard, R. D., Sweetland, S. R., & Hoy, W. K. (2000). Academic Emphasis of Urban Elementary Schools and Student Achievement in Reading and Mathematics: A Multilevel Analysis. Educational Administration Quarterly. https://doi.org/10.1177/00131610021969164

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.