Ansätze zur Kausalmodellierung mit Interaktionseffekten : Ein Überblick
Journal
Die Betriebswirtschaft (DBW)
ISSN
0342-7064
Type
journal article
Date Issued
2006
Author(s)
Abstract (De)
Kausalmodelle haben in der betriebswirtschaftlichen Forschung eine weite Verbreitung gefunden. Jedoch ignorieren viele Autoren die zwischen latenten unabhängigen Variablen existierenden Interaktionseffekte. Da diese für die Erklärung der Zielgrösse zumeist bedeutsam sind, liefert dieser Beitrag einen Überblick über Methoden zur Erfassung von Interaktionstermen bei der Kausalmodellierung. In Abhängigkeit ausgewählter Kriterien lassen sich die verschiedenen Verfahren vergleichen und Anwendungsempfehlungen geben.
Since more than a decade structural equation models have gained great attention in management science. However, interaction effects between independent latent variables are often ignored. Since interactions play an important role in explaining various phenomenons, this contribution offers an overview of the most widely used estimation techniques. Based on relevant criteria these techniques are compared and recommendations for their application are given.
Since more than a decade structural equation models have gained great attention in management science. However, interaction effects between independent latent variables are often ignored. Since interactions play an important role in explaining various phenomenons, this contribution offers an overview of the most widely used estimation techniques. Based on relevant criteria these techniques are compared and recommendations for their application are given.
Language
German
HSG Classification
not classified
Refereed
No
Publisher
Schäffer-Poeschel
Publisher place
Stuttgart
Number
6
Start page
696
End page
710
Pages
15
Subject(s)
Division(s)
Eprints ID
31147