A new criterion for assessing discriminant validity in variance-based structural equation modeling

@article{Henseler2015ANC,
  title={A new criterion for assessing discriminant validity in variance-based structural equation modeling},
  author={J{\"o}rg Henseler and Christian M. Ringle and Marko Sarstedt},
  journal={Journal of the Academy of Marketing Science},
  year={2015},
  volume={43},
  pages={115-135}
}
Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant validity. By means of a simulation study, we show that these approaches do not reliably detect the lack of discriminant validity in common research situations. We… CONTINUE READING

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