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Methodische Probleme bei der Erfolgsfaktorenforschung — Messfehler, formative versus reflektive Indikatoren und die Wahl des Strukturgleichungs-Modells

Author

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  • Sönke Albers

    (Christian-Albrechts-Universität zu Kiel)

  • Lutz Hildebrandt

    (Humboldt-Universität zu Berlin)

Abstract

Zusammenfassung Dieser Beitrag ist ein methodisches Plädoyer zur Verwendung adäquater Methoden in der empirischen Erfolgsfaktorenforschung. Wir zeigen die methodischen Probleme bei der Anwendung der LISREL-Methodologie auf empirische Erfolgsfaktorenstudien auf. Die Trennung in latente Konstrukte und reflektive Indikatoren, um zwischen einem Mess- und Strukturmodell unterscheiden zu können, und die Eliminierung von intern nicht konsistenten Indikatoren ist falsch, wenn es sich wie bei Erfolgsfaktorenstudien häufig um formative Indikatoren handelt, aus denen sich die Konstrukte ergeben. Durch die Wahl der falschen Messstruktur werden wichtige Facetten des Konstrukts vernachlässigt, und man erhält inhaltlich andere Ergebnisse. Bleibt man in der Strukturgleichungs-Methodologie, so empfiehlt sich die Anwendung von PLS, da dort die Indikatoren sowohl formativ als auch reflektiv spezifiziert werden können und geringere Anforderungen an die Daten gestellt werden. Mit Hilfe eines Beispiels wird demonstriert, dass sich insbesondere durch die Eliminierung von Indikatoren und weniger durch die Schätzmethode stark unterschiedliche Ergebnisse ergeben. Hier wird allerdings argumentiert, dass man im Falle ausschließlich formativer Indikatoren zu Regressionsanalysen zurückkehren sollte, weil man Multikollinearität durch Indexbildung behandeln und zusätzlich Nichtlinearitäten und unbeobachtete Heterogenität berücksichtigen kann.

Suggested Citation

  • Sönke Albers & Lutz Hildebrandt, 2006. "Methodische Probleme bei der Erfolgsfaktorenforschung — Messfehler, formative versus reflektive Indikatoren und die Wahl des Strukturgleichungs-Modells," Schmalenbach Journal of Business Research, Springer, vol. 58(1), pages 2-33, February.
    • Handle: RePEc:spr:sjobre:v:58:y:2006:i:1:d:10.1007_bf03371642
    DOI: 10.1007/BF03371642
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    Keywords

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    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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