PLS marker variable approach to diagnosing and controlling for method variance

@inproceedings{Rnkk2011PLSMV,
  title={PLS marker variable approach to diagnosing and controlling for method variance},
  author={Mikko R{\"o}nkk{\"o} and Jukka Ylitalo},
  booktitle={ICIS},
  year={2011}
}
Partial least squares (PLS) path modeling has been adopted as part of the statistical toolbox of many information systems (IS) scholars, particularly when dealing with survey data. Since these data are susceptible to common method variance, several statistical approaches for diagnosing and controlling for this undesirable feature have been developed. While most of these statistical techniques are only applicable to structural equation modeling (SEM), Liang, Saraf, Hu, and Xue (2007) proposed… CONTINUE READING
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