ANAHEI Research Academy

Schedule October 1, 2018
Session 1: 8:30am-10:30am Introduction to PLS-SEM using SmartPLS and WarpPLS by Dr. S. Mostafa Rasoolimanesh
Session 2: 10-:45am- 12:45pm Mediator – Moderator Using PLS-SEM; WarpPLS and SmartPLS by Dr. S. Mostafa Rasoolimanesh
1:00pm-2:30pm Luch
Session: 3:00-5:00pm Publishing in Top Journals: Hear from the Experts

 

GLOSEARCH Conference registration gives access to ANAHEI Research Academy. If you want to register only for the ANAHEI Academy, please register here ($100).

Participants will receive a certificate from ANAHEI & USF & Hao Sen University if they attend all three sessions.


Dr. S. Mostafa Rasoolimanesh is a Senior Lecturer at the Faculty of Hospitality, Food & Leisure Management, Taylor’s University. He has published several articles in high impact SSCI journals such as; Tourism Management, Journal of Travel Research, Journal of Sustainable Tourism, International Journal of Contemporary Hospitality Management, Cities, Habitat International, and International Journal of Tourism Research among others. Most of his published papers utilize PLS-SEM method using WarpPLS and SmartPLS software Packages. Dr. Mostafa has recently collaborated with a number of well-known scholars in PLS such as Prof. Ned Kock (developer of WarpPLS software), Prof. Christian Ringle (Developer of SmartPLS software), Prof. Marko Sarstedt, and Prof. Jose L. Roldan and their work have been published in top-tier journals.  In addition, Dr. Mostafa has conducted several workshops on PLS-SEM.


Research Academy: Session 1


Introduction to Partial Least Squares – Structural Equation Modeling (PLS-SEM) Using SmartPLS and WarpPLS Software Packages

SEM is a statistical approach to analyze a hypothetical framework simultaneously. It allows a researcher to test and develop theories, and to test the relationships between latent variables on the conceptual model. There are two types of SEM; the covariance-based technique (CB-SEM) and the variance-based or partial least squares SEM (PLS-SEM). CB-SEM is confirmatory in nature, whereas PLS-SEM can handle theory development and prediction. The PLS-SEM is a variance-based approach and aims to maximize the explained variance of the dependent latent constructs; whereas the CB-SEM aims to reproduce the theoretical covariance matrix. Therefore the PLS-SEM is preferred when the researcher wants to predict the construct and identify relationship between them. In addition, PLS-SEM can handle more complex model including formative, composite and reflective constructs. PLS-SEM has been applied in many studies in marketing, business, strategic management, and social science areas in recent years. However, a few numbers of tourism and hospitality researches have used this useful and powerful method. Most of the tourism studies were interested in traditional CB-SEM rather than PLS-SEM. Therefore, a PLS-SEM workshop can be very significant for tourism and hospitality researchers.

Outline of introduction talk on PLS-SEM:

  1. Basics of SEM
  2. Formative, composite, and Reflective Measurement Model
  3. Measurement Model Evaluation and Reporting
  4. 1. Reflective Constructs

(a) Reliability
(b) Convergent validity
(c) Discriminant validity

4. 2. Formative and Composite Constructs

(a) Redundancy analysis for formative and nomological assessment for composite
(b) Outer weight
(c) VIF

5. 1. Structural Model Analysis & Evaluation

5.  2. Assessment of structural model

(a) R2
(b) Path coefficient
(c) Effect size
(d) Q2
(e) Linear and non-linear models


Research Academy: Session 2


Mediator – Moderator Using PLS-SEM; WarpPLS 6.0 and SmartPLS 3.2.7 Software Packages

Many studies in management, psychology, social science, including hospitality and tourism rely on mediating and moderating variables. Mediating variables are behavioral, psychological, or social constructs that transmit the effect of one variable to another variable. Mediation is one way that a researcher can explain the process or mechanism by which one variable affects another. However, moderating variable are those which affect the strength or nature of the relationship between two other variables.

This session aims to explain the concepts and theories behind mediator and moderator and describes various forms of simple and complex meditors, moderators. Different methods to assess mediators and moderators will be discussed in this session. These assessments will be conducted in the context of partial least squares- structural equation modeling (PLS-SEM) using two powerful software packages namely; WarpPLS 6.0 and SmartPLS 3.2.7.

Mediation

  1. Introduce the simple mediation effect
  2. Review different methods of assessment of mediation effect
  3. Assessment of mediator using WarpPLS 6.0
  4. Assessment of mediator using SmartPLS 3.2.7

Moderation

  1. Introduce Moderation effect
  2. Interaction effect and Multi Group Analysis (MGA)
  3. Different methods to assess Interaction effect
  4. MGA using WarpPLS 6.0 and SmartPLS 3.2.7

(a) Different methods of invariance measurement testing
(b) Non-parametric MGA methods (Henseler’s MGA, Permutation,…)

5. Full Latent Growth Assessment as an alternative to moderator using WarpPLS 6.0