Common, specific, and error variance components of factor models: estimation with longitudinal data

Common, specific, and error variance components of factor models: estimation with longitudinal data

Describes a method for estimating common, specific and random error variance with longitudinal data. Uses an empirical example which makes clear the limitations of combining specific and random error components. Shows that the assumption that all unique variance is random error is untenable. (Abstra...

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Veröffentlicht in:Sociological methods & research 1987-05, Vol.15 (May 87), p.385-405
Hauptverfasser: Raffalovich, L E, Bohrnstedt, G W
Format: Artikel
Sprache:eng
Schlagworte:
Cohort analysis
Error variance
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creator Raffalovich, L E
Bohrnstedt, G W
description Describes a method for estimating common, specific and random error variance with longitudinal data. Uses an empirical example which makes clear the limitations of combining specific and random error components. Shows that the assumption that all unique variance is random error is untenable. (Abstract amended)
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identifier ISSN: 0049-1241
ispartof Sociological methods & research, 1987-05, Vol.15 (May 87), p.385-405
issn 0049-1241
language eng
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source Access via SAGE; Applied Social Sciences Index & Abstracts (ASSIA)
subjects Cohort analysis
Error variance
title Common, specific, and error variance components of factor models: estimation with longitudinal data
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