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Outliers and Improper Solutions

A Confirmatory Factor Analysis Example

Datos Bibliográficos

ID2331591
AutoresK A Bollen (0000-0002-6710-3800, University of North Carolina at Chapel Hill, autor de correspondencia)
Año1987
Volumen15
Número4
Páginas375-384
Fecha de publicación1987-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSociological Methods & Research (JOURNAL)
Identificadores de la revistaISSN: 0049-1241 • E-ISSN: 1552-8294
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/0049124187015004002
OpenAlexW2115402161
IdiomaEN
Citas recibidas32
Referencias citadas12

A common occurrence in structural equation models are 'improper solutions.' Estimates of negative variances of measurement errors, negative variances of equation errors, or correlations between latent variables that are greater than one are instances of improper solutions. Recent work has begun to examine the causes and cures for these problems but the role of outliers in generating improper solutions has been overlooked. The purposes of this article are threefold: (1) to explain how outliers can lead to improper solutions, (2) to use a confirmatory factor analysis example to demonstrate this, and (3) to encourage researchers to check for this possibility

Confirmatory factor analysis · Econometrics · Latent variable · Outlier · Statistics · Structural equation modeling · Work (physics) · Advanced Statistical Methods and Models · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Statistical Methods and Applications

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Obras citantes distintas32
Citas por año0,82
Intervalo de citas1987 - 2026 (40)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 28
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