Application of Structural Equation Modeling in Marketing Research

Eric V. Bindah

ISBN 10: 3659695564 / ISBN 13: 9783659695568

Editore: LAP LAMBERT Academic Publishing Apr 2015, 2015

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This item is printed on demand - Print on Demand Titel. Neuware -The application of Structural Equation Modeling (SEM) is a powerful multivariate technique suited for testing proposed relations between variables. This book provides an overview of the basic underlying principles of SEM. The author discusses the potential for SEM as a tool to advance consumer socialization research both statistically and conceptually. This work argues that SEM is useful in understanding communication as a complex set of relations between variables. Moreover, the author articulates the possibility for examining various forms of communications as an agent and mediator, and materialism as an outcome. The application of SEM to consumer socialization research is illustrated by evaluating a theoretical model of materialism. The results of SEM studies can contribute to better understanding of the validity of communication measures and of relationships between family communication, peer communication, and materialism as an outcome variable.Books on Demand GmbH, Überseering 33, 22297 Hamburg 356 pp. Englisch.

Codice articolo 9783659695568

Dati bibliografici

• Titolo: Application of Structural Equation Modeling in Marketing Research
• Editore: LAP LAMBERT Academic Publishing Apr 2015
• Data di pubblicazione: 2015
• Lingua: Inglese
• ISBN 10: 3659695564
• ISBN 13: 9783659695568
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 220 L x 150 A x 22 P (millimetri) 220 millimetri di larghezza per 150 millimetri di altezza per 22 millimetri di profondità
• Peso: 548 grammi

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Riassunto

The application of Structural Equation Modeling (SEM) is a powerful multivariate technique suited for testing proposed relations between variables. This book provides an overview of the basic underlying principles of SEM. The author discusses the potential for SEM as a tool to advance consumer socialization research both statistically and conceptually. This work argues that SEM is useful in understanding communication as a complex set of relations between variables. Moreover, the author articulates the possibility for examining various forms of communications as an agent and mediator, and materialism as an outcome. The application of SEM to consumer socialization research is illustrated by evaluating a theoretical model of materialism. The results of SEM studies can contribute to better understanding of the validity of communication measures and of relationships between family communication, peer communication, and materialism as an outcome variable.