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Using Hierarchical Linear Modeling to Study Social Contexts

The Case of School Effects

Datos Bibliográficos

ID23378625
AutoresValerie E Lee (Michigan Department of Education, autor de correspondencia)
Año2000
Volumen35
Número2
Páginas125-141
Fecha de publicación2000-06-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaEducational Psychologist (JOURNAL)
Identificadores de la revistaISSN: 0046-1520 • E-ISSN: 1532-6985
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1207/s15326985ep3502_6
OpenAlexW2008585658
IdiomaEN
Citas recibidas134
Referencias citadas20

This article focuses on a particular educational context, the school, and how characteristics of the structure and organization of high schools influence students' academic development. The emphasis is on a type of quantitative inquiry called school effects research. It describes a methodology that is most appropriate for conducting studies of school effects in particular and educational contexts in general: hierarchical linear modeling (HLM). Two previously published studies are used as heuristic examples of school effects studies conducted with HLM methods. Both studies use large and nationally representative longitudinal data from the National Education Longitudinal Study of 1988 to explore school effects on learning and its social distribution by student socioeconomic status. Study 1 focuses on the effects of high school size on learning. Study 2 focuses on how teachers' attitudes, taken as a collective property of the social organization of schools, influence both learning and its social distribution. Implications for both policy and research are discussed.

Context (archaeology) · Context effect · Longitudinal study · Mathematics education · Multilevel model · Pedagogy · Socioeconomic status · Sociology · Computer Science · Parental Involvement in Education · Psychology · School Choice and Performance · Urban, Neighborhood, and Segregation Studies

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