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Confirmatory tetrad analysis in PLS path modeling

Author

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  • Gudergan, Siegfried P.
  • Ringle, Christian M.
  • Wende, Sven
  • Will, Alexander

Abstract

The authors propose a CTA-PLS assessment routine for measurement models. This routine applies confirmatory tetrad analysis (CTA) in a manner which is consistent with partial least squares (PLS) path modeling assumptions. The conceptualization employs a bootstrapping procedure to accomplish an appropriate statistical test examining vanishing tetrads in CTA-PLS. The approach allows distinguishing a formative indicator specification from a reflective indicator specification. Applications using experimental and empirical data demonstrate the usefulness and effectiveness of CTA-PLS. As a means of evaluating PLS path modeling results, the routine assists researchers in avoiding potentially unrepresentative consequences of measurement model misspecification.

Suggested Citation

  • Gudergan, Siegfried P. & Ringle, Christian M. & Wende, Sven & Will, Alexander, 2008. "Confirmatory tetrad analysis in PLS path modeling," Journal of Business Research, Elsevier, vol. 61(12), pages 1238-1249, December.
    • Handle: RePEc:eee:jbrese:v:61:y:2008:i:12:p:1238-1249
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    References listed on IDEAS

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    1. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    2. Kenneth A. Bollen & Kwok-Fai Ting, 1998. "Bootstrapping a Test Statistic for Vanishing Tetrads," Sociological Methods & Research, , vol. 27(1), pages 77-102, August.
    3. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    4. Kenneth A. Bollen, 1990. "Outlier Screening and a Distribution-Free Test for Vanishing Tetrads," Sociological Methods & Research, , vol. 19(1), pages 80-92, August.
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