Publikation: Separating trait effects from trait-specific method effects in multitrait-multimethod models : A multiple-indicator CT-C(M-1) model
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
An overview of several models of confirmatory factor analysis for analyzing multitrait-multimethod (MTMM) data and a discussion of their advantages and limitations are provided. A new class of multi-indicator MTMM models combines several strengths and avoids a number of serious shortcomings inherent in previously developed MTMM models. The new models enable researchers to specify and to test trait-specific-method effects. The trait and method concepts composing these models are explained in detail and are contrasted with those of previously developed MTMM models for multiple indicators. The definitions of the models are explained step by step, and a practical empirical application of the models to the measurement of 3 traits x 3 methods is used to demonstrate their advantages and limitations.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
EID, Michael, Tanja LISCHETZKE, Fridtjof W. NUSSBECK, Lisa I. TRIERWEILER, 2003. Separating trait effects from trait-specific method effects in multitrait-multimethod models : A multiple-indicator CT-C(M-1) model. In: Psychological Methods. 2003, 8(1), pp. 38-60. ISSN 1082-989X. eISSN 1939-1463. Available under: doi: 10.1037/1082-989X.8.1.38BibTex
@article{Eid2003Separ-43797, year={2003}, doi={10.1037/1082-989X.8.1.38}, title={Separating trait effects from trait-specific method effects in multitrait-multimethod models : A multiple-indicator CT-C(M-1) model}, number={1}, volume={8}, issn={1082-989X}, journal={Psychological Methods}, pages={38--60}, author={Eid, Michael and Lischetzke, Tanja and Nussbeck, Fridtjof W. and Trierweiler, Lisa I.} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43797"> <dc:creator>Lischetzke, Tanja</dc:creator> <dcterms:issued>2003</dcterms:issued> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Trierweiler, Lisa I.</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:contributor>Eid, Michael</dc:contributor> <dc:language>eng</dc:language> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-11-13T09:43:33Z</dc:date> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/> <dc:contributor>Trierweiler, Lisa I.</dc:contributor> <dcterms:title>Separating trait effects from trait-specific method effects in multitrait-multimethod models : A multiple-indicator CT-C(M-1) model</dcterms:title> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-11-13T09:43:33Z</dcterms:available> <dc:contributor>Nussbeck, Fridtjof W.</dc:contributor> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/> <dc:contributor>Lischetzke, Tanja</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/43797"/> <dcterms:abstract xml:lang="eng">An overview of several models of confirmatory factor analysis for analyzing multitrait-multimethod (MTMM) data and a discussion of their advantages and limitations are provided. A new class of multi-indicator MTMM models combines several strengths and avoids a number of serious shortcomings inherent in previously developed MTMM models. The new models enable researchers to specify and to test trait-specific-method effects. The trait and method concepts composing these models are explained in detail and are contrasted with those of previously developed MTMM models for multiple indicators. The definitions of the models are explained step by step, and a practical empirical application of the models to the measurement of 3 traits x 3 methods is used to demonstrate their advantages and limitations.</dcterms:abstract> <dc:creator>Eid, Michael</dc:creator> <dc:creator>Nussbeck, Fridtjof W.</dc:creator> </rdf:Description> </rdf:RDF>