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Titolo:
Modeling multilevel data structures
Autore:
Steenbergen, MR; Jones, BS;
Indirizzi:
Univ N Carolina, Chapel Hill, NC 27515 USA Univ N Carolina Chapel Hill NCUSA 27515 olina, Chapel Hill, NC 27515 USA Univ Arizona, Tucson, AZ 85721 USA Univ Arizona Tucson AZ USA 85721Univ Arizona, Tucson, AZ 85721 USA
Titolo Testata:
AMERICAN JOURNAL OF POLITICAL SCIENCE
fascicolo: 1, volume: 46, anno: 2002,
pagine: 218 - 237
SICI:
0092-5853(200201)46:1<218:MMDS>2.0.ZU;2-3
Fonte:
ISI
Lingua:
ENG
Soggetto:
HIERARCHICAL LINEAR-MODELS; EUROPEAN INTEGRATION; REGRESSION-MODEL; PUBLIC SUPPORT; COMPONENTS; POPULATIONS; REFERENDUM; MAASTRICHT; EQUATIONS; INFERENCE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
96
Recensione:
Indirizzi per estratti:
Indirizzo: Steenbergen, MR Univ N Carolina, 308 Hamilton Hall,CB 3265, Chapel Hill, NC 27515 USA Univ N Carolina 308 Hamilton Hall,CB 3265 Chapel Hill NC USA 27515
Citazione:
M.R. Steenbergen e B.S. Jones, "Modeling multilevel data structures", AM J POL SC, 46(1), 2002, pp. 218-237

Abstract

Multilevel data are structures that consist of multiple units of analysis,one nested Within the other Such data are becoming quite common in political science and provide numerous opportunities for theory testing and development, Unfortunately, this type of data typically generates a number of statistical problems, of which clustering is particularly important. To exploit the opportunities offered by multilevel data, and to solve the statistical problems inherent in them, special statistical techniques are required. In this article, we focus on a technique that has become popular in educational statistics and sociology-multilevel analysis. In multilevel analysis, researchers build models that capture the layered structure of multilevel data, and determine how layers interact and impact a dependent variable of interest. Our objective in this article is to introduce the logic and statistical theory behind multilevel models, to illustrate how such models can be applied fruitfully in political science, and to call attention to some of the pitfalls in multilevel analysis.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 04/04/20 alle ore 15:31:24