The DOI matches its OpenAlex record; 2 of the 2 references it cites were found in a registry or an index.
High School Size: Which Works Best and for Whom?
Abstract
The study described in this article investigates the relationship between high school size and student learning. We used three waves of data from NELS:88 and hierarchical linear modeling (HLM) methods to examine how students’ achievement growth in two subjects (reading and mathematics) over the high school years is influenced by the size of the high school they attend. Three research questions guided the study: (a) Which size high school is most effective for students’ learning?, (b) In which size high school is learning most equitably distributed?, and (c) Are size effects consistent across high schools defined by their social compositions? Results suggest that the ideal high school, defined in terms of effectiveness (i.e., learning), enrolls between 600 and 900 students. In schools smaller than this, students learn less; those in large high schools (especially over 2,100) learn considerably less. Learning is more equitable in very small schools, with equity defined by the relationship between learning and student socioeconomic status (SES). An important finding from the study is that the influence of school size on learning is different in schools that enroll students of varying SES and in schools with differing proportions of minorities. Enrollment size has a stronger effect on learning in schools with lower-SES students and also in schools with high concentrations of minority students. Implications for educational policy are discussed.
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Cites
Catholic Schools and the Common Good
BRYK, A. S., Lee, V. E., & Holland, P. B. (1993) · doi:10.4159/9780674029033 · Cited by 973
Self-citationOrganizational Scale and School Success
Guthrie, J. W. (1979) · Educational Evaluation and Policy Analysis · doi:10.3102/01623737001001017 · Cited by 82
Cited by
Promoting School Connectedness: Evidence from the National Longitudinal Study of Adolescent Health
McNeely, C. A., Nonnemaker, J. M., & Blum, R. W. (2002) · Journal of School Health · doi:10.1111/j.1746-1561.2002.tb06533.x · Cited by 1,187
Schools, Academic Motivation, and Stage-Environment Fit
Eccles, J. S., & Roeser, R. W. (2009) · Handbook of Adolescent Psychology · doi:10.1002/9780470479193.adlpsy001013 · Cited by 983
Dropping Out of High School: The Role of School Organization and Structure
Lee, V. E., & Burkam, D. T. (2003) · American Educational Research Journal · doi:10.3102/00028312040002353 · Cited by 738
Self-citationUsing Hierarchical Linear Modeling to Study Social Contexts: The Case of School Effects
Lee, V. E. (2000) · Educational Psychologist · doi:10.1207/s15326985ep3502_6 · Cited by 580
Self-citationStewart, E. B. (2008) · Education and Urban Society · doi:10.1177/0013124507304167 · Cited by 361
Metadata
- Authors
- Lee, V. E., & Smith, J. B.
- Venue
- Educational Evaluation and Policy Analysis
- Publisher
- SAGE Publishing
- Published
- 1997-01-01
- Volume
- 19
- Issue
- 3
- Pages
- 205-205
- ISSN
- 0162-3737 (ISSN-L)
- OpenAlex
- W2167249951
- Cited by
- 492
- References
- 2
- FWCI
- 53.50
- Type
- journal article
- Language
- en
- Open access
- closed
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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.