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Modeling Customer Satisfaction: A Comparative Performance Evaluation of Covariance Structure Analysis Versus Partial Least Squares

  • Hulland J
  • Ryan M
  • Rayner R
Springer Berlin Heidelberg, (2010), 307-325
DOI: 10.1007/978-3-540-32827-8_15
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Abstract

Abstract Partial least squares (PLS) estimates of structural equation model path coefficients are believed to produce more accurate estimates than those obtained with covariance structure analysis (CVA) using maximum likelihood estimation (MLE) when one or more of the MLE

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Hulland, J., Ryan, M. J., & Rayner, R. K. (2010). Modeling Customer Satisfaction: A Comparative Performance Evaluation of Covariance Structure Analysis Versus Partial Least Squares. In Handbook of Partial Least Squares (pp. 307–325). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-32827-8_15

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