International Research Workshop

Model Building Techniques and Structural Equation Modeling

Using SmartPls Software

 

The Scenario

 

RCTD is organizing an international research workshop "Model Building Techniques and Structural Equation Modeling using Smartpls Software" on 5-6 August, 2016 (Friday-Saturday) from 9:30am-5:00pm PST.

 

Structural equation modeling depicts an extension of the classical factor analysis, which allows explaining relationships among latent variables (constructs). It allows to empirically validate theoretically established causal models in the various social science disciplines such as marketing (e.g., to perform research on brand equity, consumer behavior, and customer satisfaction) or management (e.g., to evaluate factors that influence of alliance networks on firm performance). Covariance-based structural equation modelling (CB-SEM) and partial least squares SEM (PLS-SEM) constitute the two matching statistical techniques for estimating structural equation models. Both apply to the same class of models—structural equations with unobservable variables and measurement error—but they have different structures and objectives.

The goal of PLS-SEM is the explanation of variances (prediction-oriented character of the methodology) rather than explaining covariances (theory testing via CB-SEM). The application of the PLS-SEM method is of special interest if the premises of CB-SEM are violated and the assumed relations of cause-and-effect are not sufficiently explored. An additional advantage of the PLS- SEM method is the unrestricted incorporation of latent variables in the path model that either draws on reflective or formative measurements models.

 

The researchers from Universities, Research Institutes, R&D Organizations and Social Sector Organizations can participate individually or institutional in their own auditorium/office/home from anywhere around the world. The individual participant can participate using a laptop/desktop computer connected with internet. For institutional registration and arrangements, contact us through email (workshops@rctd.org) or WhatsApp ,Call us (0092322430997400971557620275001 905 487 1733). For details, kindly Visit: www.rctd.org or  www.rctdmembers.org  (current workshop).

 

Note: The university/institute can pay the registration fee after the workshop.

 

Who Should Attend?

The workshop is open for both genders and it is designed for faculty members and doctoral students who are interested to learn how to use SEM using PLS in their own research applications.

 

Online Registration

  

Kindly send us the following details on workshops@rctd.org

               

Name of the Participant:

University/Institute:

Discipline/Area of Research:

Email:

Phone/Cell: For Courier

Postal Address: For courier of Certificate and a DVD of Workshop recording

 

Program

 

Date: 5-6 August, 2016 (Friday-Saturday)

Time: 9:30am-5:00pm PST

Contribution: Rs. 3000/participant

International Participant: US$ 150/participant

Members : Freely (Become a Member Visit: www.rctd.org)

Institutional Contribution:  Rs. 40,000 (up to 40 participants)

 

Note: The Universities/Institutes are requested to organize this International level workshop in their own computer lab/auditorium. RCTD will provide the conferencing facility. For Institutional participation and arrangements, contact us (00923224309974) or workshops@rctd.org. The university/institute will pay the participation fee after the one week of the workshop for the convenience of processing and paying the invoice. RCTD will send the certificates of participation and DVDs of workshop recordings for 40 participants after the workshop through courier service. Kindly visit:www.rctd.org (current workshop) or www.rctdmembers.org

 

Teaching Methods

The two day workshop includes Presentations and SmartPLS exercises. Most of the workshop will involve "hands-on" analysis of the dataset using the SmartPLS software. SmartPLS software output diagnostics and proper interpretation of the results will be covered. Potential obstacles and "rules-of-thumb" to ensure appropriate application of the technique will be covered. The dataset from the book on PLS-SEM (Sage, 2014) by Hair, Hult, Ringle, and Sarstedt will be used for demonstration purposes.

Recommended Readings

  • Hair, J. F., G. T. M. Hult, C. M. Ringle and M. Sarstedt (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks: Sage.
  • Hair, J. F., C. M. Ringle and M. Sarstedt (2011). "PLS-SEM: Indeed a Silver Bullet." Journal of Marketing Theory and Practice 19(2): 139-151.
  • Hair, J. F., M. Sarstedt, C. M. Ringle and J. A. Mena (2012). "An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research." Journal of the Academy of Marketing Science 40(3): 414-433.
  • Henseler, Jörg; Christian M. Ringle and Marko Sarstedt (2015). "A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling," Journal of the Academy of Marketing Science, 43 (1), 115–135.
  • Ringle, C. M., M. Sarstedt and D. W. Straub (2012) "A Critical Look at the Use of PLS-SEM in MIS Quarterly." MIS Quarterly 36(1).

 

Contents

 

  • Introduction to Model Building Techniques
  • History of Multivariate Analysis
  • Exploratory Research and Confirmatory Research
  • Introduction to SEM
  • The Application of SEM in Postgraduate Research,
  • Comparison between Variance Based SEM and Covariance Based SEM
    The Concept of Latent Constructs
  • Formative and Reflective Constructs Drawing Measurement Model

 

MODERATOR

 

  • Structural modeling of heterogeneous data with PLS
  • Heterogeneity concept
  • Moderator variable
  • Moderating effect
  • Interaction effect model
  • Group comparison - nominal & continuous
  • Moderator effect - group comparison
  • Testing for multi-group
  • Testing for SE differences
  • High & low group model
  • PLS-MGA non-parametric
  • Moderator effect – formative
  • Strength of the moderation effect
  • Unobserved heterogeneity
  • Reporting technique and tips
  • Presenting - graphical format

 

 MEDIATOR

 

  • Mediator variable
  • Mediator analysis
  • Testing mediation in PLS
  • Suggested test for mediator
  • Step-by-step procedure
  • Mediator effect assessment - Variance accounted for (VAF)

 

 

International Research Faculty

 

Professor Dr. M. A. Salih

Phd in Statistics

University of Illinois 

President of Arab Statisticians

Author of Books on Statistics

Research Supervisor

Advisor/Trainer

Research Center for Training & Development

 

Dr. Tahir

Statistician

Consultant/Coach

Inferential Statistics and Analysis using SPSS

Structural Equation Modeling and Testing using SmartPls and AMOS

Trainer, RCTD

 

How to participate?


The confirmed participant/university will receive a confirmatory email from RCTD. The email will have a workshop join link. The participant will click the join link on the day of workshop on the time mentioned, after clicking, the setup will start and after 2-3 minutes, the participant will be connected with live HD Video Conferencing of the workshop.    

 

Requirements

Desktop computer/Laptop P4 or latest

WindowsXP/Vista/Windows 7/Mac

Internet connectivity

A set of Headphone & Mic (connect to your computer)

 

Who Should Attend?

  • Faculty Members
  • Research Scholars (MPhil/PhD)
  • Research Associates
  • Researchers of Medical Sciences
  • Researchers of R&D Organizations
  • Researchers of Social Sector Organizations

For any questions or concerns regarding payments please contact one of our offices for assistance.

 

Ateeq-ur-Rehman
Managing Director (MD)
RCTD Inc.
Cell: +92 3224309974

Whats App: +92 3224309974

Skype: research.rctd  
Email: workshops@rctd.org

                        

RCTD INC., North America Head Office

Office: +1 905487 1733

workshops@rctdinc.com

 

RCTD INC., Asia/ Gulf Region Office

PO Box 54816 Abu Dhabi UAE

217J1 Wapda Town, Lahore

Office :+971 557620275, +92 3224309974

Email: workshops@rctd.org