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Measurement quality in indicators of compositions. a compositional multitrait-multimethod approach

Qualitätsmessung bei Kompositionsindikatoren : ein kompositioneller Multitrait-Multimethod-Ansatz
[Zeitschriftenartikel]

Coenders, Germà; Hlebec, Valentina; Kogovsek, Tina

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Zitationshinweis

Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):http://dx.doi.org/10.18148/srm/2011.v5i2.4678

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Abstract "Compositional data, also called multiplicative ipsative data, are common in survey research instruments in areas such as time use, budget expenditure and social networks. Compositional data are usually expressed as proportions of a total, whose sum can only be 1. Owing to their constrained nature, statistical analysis in general, and estimation of measurement quality with a confirmatory factor analysis model for multitrait-multimethod (MTMM) designs in particular are challenging tasks. Compositional data are highly non-normal, as they range within the 0-1 interval. One component can only increase if some other(s) decrease, which results in spurious negative correlations among components which cannot be accounted for by the MTMM model parameters. In this article the authors show how researchers can use the correlated uniqueness model for MTMM designs in order to evaluate measurement quality of compositional indicators. They suggest using the additive log ratio transformation of the data, discuss several approaches to deal with zero components and explain how the interpretation of MTMM designs differs from the application to standard unconstrained data. The authors show an illustration of the method on data of social network composition expressed in percentages of partner, family, friends and other members in which they conclude that the face-to-face collection mode is generally superior to the telephone mode, although primacy effects are higher in the face-to-face mode. Compositions of strong ties (such as partner) are measured with higher quality than those of weaker ties (such as other network members)." (author's abstract)
Thesaurusschlagwörter data; data acquisition; data capture; data organization; data quality; data collection method; method; methodological research; measurement
Klassifikation Erhebungstechniken und Analysetechniken der Sozialwissenschaften; Allgemeines, spezielle Theorien und Schulen, Methoden, Entwicklung und Geschichte der Psychologie
Sprache Dokument Englisch
Publikationsjahr 2011
Seitenangabe S. 63-74
Zeitschriftentitel Survey Research Methods, 5 (2011) 2
ISSN 1864-3361
Status Veröffentlichungsversion; begutachtet (peer reviewed)
Lizenz Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung
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