SmartPLS 3 for research data analysis: Workshop

A must attend exclusive online program for researchers/data analyst/teachers/data scientists

Partial Least Squares (PLS) is an approach to Structural Equation Models (SEM) that allows researchers to analyse the relationships simultaneously. It is interesting to compare and contrast this approach in analysing mediation relationships with the regression analysis.

Why SmartPLS ?

  • SmartPLS is a beneficial to calculate, create and validate models.
  • Many articles/journals accept/recommend SmartPLS
  • Explains causal mechanism, validates empirically theoretical hypotheses,
  • It applies predictive oriented measures.
  • SmartPLS is software created to test models
  • Provides great result with smaller sample size and a lack of distributional assumptions
  • SmartPLS has been used for exploratory research and theory development.

Facilitator:

Noman Hasan, Faculty, Department of Management, Mawlana Bhashani Science and Technology University

Moderator:

Mohammad Ali, Assistant Professor,FBS,BUP

Date: JUNE 5 & 6, 2020 (3pm)            

Training Fees: 510 BDT

Class mode: Online Zoom/Google meet

Registration : To Book Your Seat, Please visit: www.biscm.org/trainning

Bkash number : Registration fees to be paid(510/-) (for  bkash 01916361910,01731822888 rocket 017318228888 . sent a message with name and bkash number

Topics

  • Introduction
  • Why/About PLS
  • Data Processing for PLS and Data Run in PLS Software
  • Model Development and Model Run
  • Reviewing the Model Developed by Participants, Discussion about Model Outputs (Results)
  • Exporting Outputs
  • Question and answer

Key benefits:

  • principles and advanced topics in PLS-SEM
  • Based on the famous PLS-SEM books
  • Covers the latest developments in PLS-SEM as requested by reviewers and journal editors
  • Comprehensive lecturing slides included
  • Annotated outputs from SmartPLS illustrate all analyses step-by-step
  • Certificate after successful completion

To register: https://forms.gle/KenAJAMYn7AWcEas8