Title: Online 3-Day National Level Faculty Development Program ON Structural Equation Modelling and Data Analysis
Date: 10 - 12 August 2026
Registration fees: 499/- INR
Resource Person: Dr. Dhaval Mehta, Professor, Department of Business & Industrial Management Veer Narmad South Gujarat University, Surat
Host: (Dr.) Dharmendra Khairajani,Associate Dean, RSMS, Rai University
Organised By : Rai School of Management Studies, Rai University, Ahmedabad
Faculty Development Program: Structural Equation Modelling and Data Analysis
Rai School of Management Studies is hosting a 3-day Online National Level Faculty Development Program on Structural Equation Modelling and Data Analysis, scheduled from 10th to 12th August 2026, 3:00 PM to 5:00 PM IST. Registration is open at just ₹499.
Quantitative research has become central to academic work across management, social sciences, and business disciplines. Yet many faculty members find tools like SPSS and SMART-PLS difficult to navigate without structured guidance. This FDP addresses exactly that gap. Over three focused sessions, participants will work through quantitative research design, SEM fundamentals, and hands-on data analysis using both SPSS and SMART-PLS.
Structural Equation Modelling is not just another statistical method. It allows researchers to test complex relationships between multiple variables simultaneously, something traditional regression simply cannot do. Whether you are studying consumer behavior, organizational dynamics, or academic performance indicators, SEM gives your research a level of precision that strengthens both methodology and findings. SMART-PLS, in particular, has become widely used in management research for handling smaller sample sizes and reflective measurement models.
The program is led by Dr. Dhaval Mehta, Professor in the Department of Business and Industrial Management at Veer Narmad South Gujarat University, Surat. His academic background sits at the direct intersection of business research and quantitative methods. Faculty working on empirical research, doctoral supervisors, and researchers preparing manuscripts for peer-reviewed journals will find his approach both practical and grounded in real research challenges.