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Multilevel multitrait-multimethod model: application to the measurement of egocentered social networks

Our goal in this paper is to assess reliability and validity of egocentered network data using multilevel analysis (Muthen, 1989, Hox, 1993) under the multitrait-multimethod approach. The confirmatory factor analysis model for multitrait-multimethod data (Werts & Linn, 1970; Andrews, 1984) is used for our analyses. In this study we reanalyse a part of data of another study (Kogovšek et al., 2002) done on a representative sample of the inhabitants of Ljubljana. The traits used in our article are the name interpreters. We consider egocentered network data as hierarchical; therefore a multilevel analysis is required. We use Muthen’s partial maximum likelihood approach, called pseudobalanced solution (Muthen, 1989, 1990, 1994) which produces estimations close to maximum likelihood for large ego sample sizes (Hox & Mass, 2001). Several analyses will be done in order to compare this multilevel analysis to classic methods of analysis such as the ones made in Kogovšek et al. (2002), who analysed the data only at group (ego) level considering averages of all alters within the ego. We show that some of the results obtained by classic methods are biased and that multilevel analysis provides more detailed information that much enriches the interpretation of reliability and validity of hierarchical data. Within and between-ego reliabilities and validities and other related quality measures are defined, computed and interpreted

© Metodološki zvezki, 2004, vol. 1, núm. 2, p. 323-349

Faculty of Social Sciences University of Ljubljana

Autor: Coromina Soler, Lluís
Coenders, Germà
Kogovsek, Tina
Data: 2004
Resum: Our goal in this paper is to assess reliability and validity of egocentered network data using multilevel analysis (Muthen, 1989, Hox, 1993) under the multitrait-multimethod approach. The confirmatory factor analysis model for multitrait-multimethod data (Werts & Linn, 1970; Andrews, 1984) is used for our analyses. In this study we reanalyse a part of data of another study (Kogovšek et al., 2002) done on a representative sample of the inhabitants of Ljubljana. The traits used in our article are the name interpreters. We consider egocentered network data as hierarchical; therefore a multilevel analysis is required. We use Muthen’s partial maximum likelihood approach, called pseudobalanced solution (Muthen, 1989, 1990, 1994) which produces estimations close to maximum likelihood for large ego sample sizes (Hox & Mass, 2001). Several analyses will be done in order to compare this multilevel analysis to classic methods of analysis such as the ones made in Kogovšek et al. (2002), who analysed the data only at group (ego) level considering averages of all alters within the ego. We show that some of the results obtained by classic methods are biased and that multilevel analysis provides more detailed information that much enriches the interpretation of reliability and validity of hierarchical data. Within and between-ego reliabilities and validities and other related quality measures are defined, computed and interpreted
Format: application/pdf
ISSN: 1854-0031
Accés al document: http://hdl.handle.net/10256/1758
Llenguatge: eng
Editor: Faculty of Social Sciences University of Ljubljana
Col·lecció: Reproducció digital del document publicat a: http://www.stat-d.si/mz/mz1.1/coromina.pdf
Articles publicats (D-EC)
És part de: © Metodološki zvezki, 2004, vol. 1, núm. 2, p. 323-349
Drets: Tots els drets reservats
Matèria: Xarxes socials -- Mesurament
Xarxes socials -- Validesa
Social networks -- Measurement
Social networks -- Validity
Títol: Multilevel multitrait-multimethod model: application to the measurement of egocentered social networks
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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