- Duration: Flexible
Course details
Hands-On PLS Path Modelingwith SmartPLSis an 8-sessioncourse that provides extensive, detailed knowledge about how to use SmartPLS 2.0 software andhow to interpret the extensiveoutputted information. Participants learn the mechanics of performing a variety of tasks associated with PLS path modeling "from the ground up" and are provided with comprehensive examplesof how to model, interpret, and reportvarious PLS path modeling scenariosestimated using SmartPLS 2.0 software. Thesepath modeling scenarios include formative, reflective, second-order, mediating, moderating, group differences, second orderand heterogeneous examples.
Thiscourse provides detailed instruction on the use of the currently available (and free)SmartPLS 2.0 software to perform PLS path modeling. Thecourse provides detailed explanations of the computational processes of the PLS algorithm, bootstrapping, and blindfolding. "Hands-On"demonstrates live, on-screen demonstrations of the various features and functions of SmartPLS 2.0 software. It is intended for graduate students, faculty and other researchers who seek explicit and comprehensive explanations and demonstrations of the use of all of the features, functions, and output reports in SmartPLS 2.0 software. Take-home exercises are provided at the end ofmany sessionsto reinforce thehighlighted material. Solutionsto these exercises aretypically reviewed at the beginning of the subsequent session.
SmartPLS 2.0 outputs prolific information and data in the four algorithms "default reports". Thecourse address the questions: What does all of the information and data in these four default reports mean? How is the default reports data interpreted? What are the formative-reflective construct distinctions in the outputted data? Which information does one need to report in submitted manuscripts and papers? How can the non-reported data be reused in subsequent analyses? What can one determine about: direct, indirect, and total effects? Group differences? Second-order constructs?Path coefficients, weights and loadings? Latent variable scores or values? Predictive levels of variance explained in the endogenous latent variables?
Everything is provided with this course . . . all slides, PLS models, software, exercises and solutions . . . anything you see in any of the course videos is included. If you use and/or practice PLSpath modeling, and especially ifyou use SmartPLS2.0 path modeling software, you will likely find this course to be useful to your purposes.
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