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Babes Bolyai University, Cluj-Napoca, Romania

Faculty of Economics and Business Administration

mid@econ.ubbcluj.ro


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Pre-Conference Workshop

PLS Path Modeling: Introduction & Application

hosted by Prof. Dr. Jörg Henseler,
Jörg Henseler is Professor of Product-Market Relations at the Laboratory of Design, Production and Management, Faculty of Engineering Technology at the University of Twente (The Netherlands) and Visiting Professor at the Higher Institute of Statistics and Information Management (ISEGI), Universidade Nova de Lisboa (Portugal).

Start date: Tuesday, 03 Nov 2015, 13:00
End date: Thursday, 05 Nov 2015, 11:00

Registration for the workshop can ONLY be made over the Amiando platform:
www.amiando.com/Cluj2015PLS.html?page=1275621

Registration deadline: October 25th 2015
To receive the scientist discount
, a participant must currently be a faculty member or a student at a college or university (for more information about the discount, please send enquires to mid@econ.ubbcluj.ro with the Subject: Workshop discount).

Workshop description
This two-day seminar provides a profound introduction to PLS path modeling. Participants will learn how to apply PLS path modeling by means of SmartPLS 3 and ADANCO 1.1. The instructor will make use of several empirical examples and exercises.
This seminar covers the fundamental issues in PLS path modeling:
• Structural equation modeling basics,
• Creating valid PLS path models,
• Assessment of measurement models in terms of reliability and validity,
• Assessment and interpretation of structural model results,
• Significance tests using the bootstrap,
• Reporting the outcomes of PLS path modeling analyses.

Participants will receive a 60-days fully functional version of SmartPLS 3 and ADANCO 1.1.

Who should attend?

This seminar is designed for practicing business professionals and for full-time faculty and students who are engaged in, or interested in, current techniques to perform Structural Equation Modeling (SEM) using PLS Path Modeling. Knowledge about uni- and bivariate analysis is recommendable. A basic knowledge of SEM techniques is helpful, but not required.

For more information about this workshop, please visit:
https://www.amiando.com/Cluj2015PLS.html?page=1275619

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