A Monte Carlo Investigation of Partial Least Squares, With Implications for Both Structural and Measurement Models

Miguel I. Aguirre-Urreta, George M. Marakas, Michael E. Ellis, Wenying Nan Sun. A Monte Carlo Investigation of Partial Least Squares, With Implications for Both Structural and Measurement Models. In Izak Benbasat, Ali R. Montazemi, editors, Learning from the past & charting the future of the discipline. 14th Americas Conference on Information Systems, AMCIS 2008, Toronto, Ontario, Canada, August 14-17, 2008. pages 246, Association for Information Systems, 2008. [doi]

@inproceedings{Aguirre-UrretaMES08,
  title = {A Monte Carlo Investigation of Partial Least Squares, With Implications for Both Structural and Measurement Models},
  author = {Miguel I. Aguirre-Urreta and George M. Marakas and Michael E. Ellis and Wenying Nan Sun},
  year = {2008},
  url = {http://aisel.aisnet.org/amcis2008/246},
  researchr = {https://researchr.org/publication/Aguirre-UrretaMES08},
  cites = {0},
  citedby = {0},
  pages = {246},
  booktitle = {Learning from the past & charting the future of the discipline. 14th Americas Conference on Information Systems, AMCIS 2008, Toronto, Ontario, Canada, August 14-17, 2008},
  editor = {Izak Benbasat and Ali R. Montazemi},
  publisher = {Association for Information Systems},
}