WORKSHOP DETAILS

Date: Starts January 24, 2025 (Tuesdays, Thursdays & Fridays, for 4 weeks)
Time: 7 pm to 9 pm

WHAT YOU’LL LEARN FROM THIS WORKSHOP

• Get familiar with SmartPLS 4 Interface and all its tools.
• Learn how to construct and interpret SEM models, with an emphasis on path modelling, latent variables, explanatory power, and model fit indices.
• Explore mediation and moderation analysis, multi-group analysis, and model fit evaluation using the latest SmartPLS 4 features.
• Analyze data using real-world examples from marketing, social sciences, and finance to see how SmartPLS 4 applies to your specific field.
• Learn the best practices for publishing your findings using SmartPLS 4. This workshop will help you enhance the credibility and rigor of your research.

KEY TOPICS COVERED

• Session 1:
  Handshake With SmartPLS 4 | Amazing Features in New Version | Items/Constructs, Type of Constructs: Lower Order and Higher Order Constructs, Formative & Reflective Constructs.
• Session 2:
  Assumption Testing | Reliability and Validity Analysis | Issues of Sample Size and Normality | Confirmatory Factor Analysis | Convergent and Discriminant Validity | Item Multicollinearity.
• Session 3:
  Explanatory Power Vs Predictive Power | Explanatory Power (R2, Adjusted R2, F Square) | Predictive Relevance Power Using Blind Folding | PLS Predict | CVPAT.
• Session 4:
  Dealing With Higher Order Construct in SmartPLS 4 | Validity and Hypothesis Testing
• Session 5:
  Importance And Performance Analysis | Comparison Between Formative and Reflective Constructs | Confirmatory Tetrad Analysis.
• Session 6:
  Style Of Reporting SmartPLS Results in a Research Paper with Examples.
• Session 7:
  Mediation Analysis Using SmartPLS 4 | Type of Mediation | Advances in Mediation | Parallel and Serial Mediation.
• Session 8:
  Moderation Analysis Using SmartPLS 4 | Continuous and Categorical Moderation | Multi Group Analysis.
• Session 9:
  Unobserved Heterogeneity | Segmentation Analysis Using Finite Mixture Segmentation (Fimix).
• Session 10:
  Unobserved Heterogeneity with Prediction Oriented Segmentation.
• Session 11:
  Necessary Condition Analysis with SmartPLS 4.
• Session 12:
  Gaussian Copula for Endogeneity Problem in SmartPLS 4.

WHO SHOULD ATTEND?

• Academics & Researchers
• Ph.D. Students & Graduate Scholars
• Data Analysts & Consultants
• Anyone Interested in Advanced Statistical Modelling

RESOURCE PERSON

Dr. Ajay Kumar Chauhan (M.Sc. Mathematics, MBA Finance, UGC NET, Ph.D. Finance) is the founder of 6thQResearchH LLP (Research-Shiksha) and currently serves as Professor of Practice in Analytics at BIM Trichy. With over a decade of teaching experience at institutions like IMT Ghaziabad, LBSIM, and Apeejay, Dr. Chauhan has conducted more than 1000 training workshops nationally and internationally on topics such as Structural Equation Modelling, Financial Econometrics, Machine Learning, and Business Research Methods. He has published 25 research papers in ABDC A & B category journals, authored three books, and completed an advanced course in Econometrics from Switzerland. A renowned trainer, he has collaborated with prestigious organizations including IIMs, NTPC, Coca-Cola, and NITs, and has also taught internationally in Bulgaria.

WORKSHOP HIGHLIGHTS

Exclusive Resources

• Lifetime access to session videos.
• Pre-shared PPTs, datasets, and e-Books

Certification

• Receive an e-Certificate upon completion