![]() ![]() Participants are encouraged to bring with them a data set that they are using in their own research, which they can then use to test a PLS structural equation model. It is assumed that participants have basic knowledge of multivariate statistical methods, such as multiple regression and factor analysis. The aims of this course are (1) to understand the basic intuition behind PLS, (2) to be able to apply the technique in testing a structural equation model, and (3) to be able to interpret the results. In such cases, PLS is far less likely to lead to inappropriate solutions or non-convergence. ![]() Partial Least Squares (PLS) path modeling is a structural equation modeling technique which is especially suitable when the assumptions for applying Maximum Likelihood based techniques (such as LISREL) do not apply, like in the case of exploratory research or small samples. ![]()
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