Discussion: View Thread

NEW ONLINE SUMMER COURSE USING R: PLS path modeling using R

  • 1.  NEW ONLINE SUMMER COURSE USING R: PLS path modeling using R

    Posted 04-25-2011 09:33

    The non-profit Information Institute (http://www.information-institute.org) and faculty from Virginia Commonwealth University have opened registration sites for a new, month long, 14 hour, live, interactive, online summer course on using the R statistical software for conducting PLS path modeling. Early registration fees (through May 27) are: ($295 practitioner; $250 faculty; and $195 student). There is a Monday AM course for North and South America and Europe (June 27-Aug 8 at 11AM-2PM at https://www.regonline.com/R-plspm-july-AM) and a Monday PM course for the Pacific Rim (June 27–Aug 8 at 6PM-9PM at https://www.regonline.com/R-plspm-july-PM). All of the live class sessions that registered participants attend are recorded and provided to those participants so they can repeatedly review the live sessions at their convenience.

     

     

    There are no specific prerequisites for this online course, although it is useful if you are familiar with linear regression techniques. It is assumed that you are a relative novice to R, have no programming experience, and that you want to learn how to specify, model, estimate, evaluate, report and publish PLS path model studies using R software.

     

    This course teaches you how to program (using scripts) PLS path models using the PLSPM package in R. The open source R statistical software environment (see http://www.r-project.org) is quickly becoming the de facto standard for statistical analysis across multiple disciplines. Learning the R scripting approach provides an excellent understanding of the mechanics and inner workings of PLS path modeling (compared to using strictly menu-based software), as we will write many of the scripts in class.  

     

    Please email ghubona@vcu.edu with any questions or for more information.

     

    Sincerely,

     

    Geoff Hubona

    Information Systems Department

    Virginia Commonwealth University