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Latent Variable Models of Dichotomous Data

The State of the Method

Datos Bibliográficos

ID10941519
AutoresRonald Schoenberg (Aptech Systems, autor de correspondencia), Gerhard Arminger (University of Wuppertal)
Año1989
Volumen18
Número1
Páginas164-182
Fecha de publicación1989-08-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSociological Methods & Research (JOURNAL)
Identificadores de la revistaISSN: 0049-1241 • E-ISSN: 1552-8294
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1177/0049124189018001006
OpenAlexW2051901238
IdiomaEN
Citas recibidas3
Referencias citadas22

This issue of Sociological Methods & Research contains four excellent illustrations of current methods for analyzing dichotomous data: dichotomous factor analysis (Muthén, 1989), latent trait analysis (Eaton et al., 1989), and grade of membership analysis (Woodbury and Manton, 1989). These methods are now sufficiently developed for use by researchers, though a lack of available software for the grade of membership model renders that method mostly theoretical. Of these methods the factor analysis model succeds in carrying out the tasks set by the editors with the fewest problems. Researchers would do well, however, to look over all the methods to find the best approach for their particular problem

Data mining · Data science · Data set · Econometrics · Latent variable · Machine learning · Set (abstract data type · Statistics · Advanced Statistical Modeling Techniques · Artificial Intelligence · Computer Science · Mathematics

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    Open Access•Nancy Darling, Stephen Hamilton et al.•American Journal of Community…•2002

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  • Contributions to Factor Analysis of Dichotomous Variables

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    Open Access•YOSHIO TAKANE, Jan De Leeuw•Psychometrika•1987

  • Latent Trait and Latent Class Models

    Open Access•Rolf Langeheine, Jürgen Rost•Latent Trait and Latent Class…•1988

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Obras citantes distintas3
Citas por año0,1
Intervalo de citas1997 - 2002 (6)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 3
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