Effects of Ignoring Clustered Data Structures in Factor Analysis

Language: English

Published by LAP LAMBERT Academic Publishing Jun 2013, 2013

3659411914 / 9783659411915

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This item is printed on demand - Print on Demand Titel. Neuware -In psychiatric research, data for analysis originate principally from two sources: directly from the patients themselves and from interviews conducted by health care professionals. In the latter case, statistical theory indicates that clustering by interviewers or raters needs to be considered when performing any analyses including regression, factor analysis (FA) or item response theory (IRT) modelling of binary or ordinal data. We use simulated data to study the bias of factor analytic estimates and model fit indices when data clustering is fully or partly ignored. Robustness of different estimators, such as maximum likelihood, weighted least squares and Markov chain Monte Carlo is also presented. In the second part, we analyse two real datasets containing responses to the Positive and Negative Syndrome Scale (PANSS) to show the differences when the data are analysed using the correct multilevel approach rather than a traditional aggregated analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.

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Title
Effects of Ignoring Clustered Data Structures in Factor Analysis
Author
Jan Stochl
Publisher
LAP LAMBERT Academic Publishing Jun 2013
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659411914
ISBN 13
9783659411915
Item weight
167 grams
Dimensions
220x150x7 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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