Abstract
Structural equations modeling (i.e., causal modeling) is rapidly becoming a predominate technique for analyzing data among IS researchers. Among those researchers using the causal modeling approaches, the covariance based technique as exemplified by LISREL is the more widely known and employed. It is argued that the lesser known technique of Partial Least Squares (PLS) can often be more appropriate for researchers and has been used more frequently by IS researchers in the past few years.
Recommended Citation
Chin, Wynne, "Partial Least Squares for IS Researchers: An Overview and Presentation of Recent Advances Using the PLS Approach" (2000). ICIS 2000 Proceedings. 88.
https://aisel.aisnet.org/icis2000/88