Application of Structural Equation Modeling in Marketing Research

Eric V. Bindah

ISBN 10: 3659695564 / ISBN 13: 9783659695568

Published by LAP LAMBERT Academic Publishing Apr 2015, 2015

About this Item

This item is printed on demand - it takes 3-4 days longer - 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. 356 pp. Englisch.

Seller Inventory # 9783659695568

Bibliographic Details

• Title: Application of Structural Equation Modeling in Marketing Research
• Publisher: LAP LAMBERT Academic Publishing Apr 2015
• Publication Date: 2015
• Language: English
• ISBN 10: 3659695564
• ISBN 13: 9783659695568
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 22D millimeters 220 millimeters width by 150 millimeters height by 22 millimeters depth
• Weight: 548 grams

About this title

Synopsis

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.