Fecha: 28 May 2017
Lugar: Granada
Enlace web: https://en.xing-events.com/PLS2017EDSI.html?page=1405030
This is a pre-Conference Workshop of the 8th Annual Conference of the European Decision Sciences Institute (EDSI 2017) that requires a registration fee additional to the registration to the Conference. It is not required to be a Conference attendee to participate on this Workshop.
How to perform and report an impactful empirical analysis with partial least squares (PLS) path modeling in your best current and future research? This is an important question after the substantial changes and new developments (e.g., composite models, model identification, overall model fit evaluation, consistent PLS, the heterotrait-monotrait ratio of correlations) that have been proposed and evidenced in the last three years.
This Workshop provides a profound introduction to PLS path modeling to be skilled to perform and report a high quality PLS analysis by following the latest suggested standards by means of the statistical software package Advanced Analysis of Composites (ADANCO) 2.0. The instructor will make use of several examples from Business Administration research.
This Workshop covers the fundamental issues in PLS path modeling:
- Foundations of variance-based structural equation modeling.
- Application of PLS path modeling in Business Administration research.
- Assumptions and data requirements.
- Forms of construct measurement (reflective and composite).
- Evaluation of measurement models.
- Creating identified structural equation models.
- Structural models and overall model fit evaluation.
- Significance tests by means of bootstrapping.
- Estimation of second-order constructs.
- Mediation analysis.
- Software tutorial with ADANCO.
Participants will receive a complimentary one-year fully functional version of ADANCO 2.0 (Student Edition).
Who should attend?
This Workshop is designed for practitioners, faculty, and students who are engaged in, or interested in current techniques to perform structural equation modeling using PLS path modeling. A basic knowledge of structural equation modeling techniques is helpful but not required.
Contact: Email: Prof. Jose Benitez (joseba@ugr.es) and Prof. Jörg Henseler (j.henseler@utwente.nl).
