shalini sahni
Respected Sir and Dear Group Members,
Koach Scholar, in association with JMP® Statistical Discovery, invites you to a free two-evening workshop on Structural Equation Modeling (SEM) with JMP®.
Most SEM training stops at the path diagram. This one runs the whole pipeline in the software — you start by uncovering the latent structure in a data set, validate the measurement instrument, establish reliability and validity of the constructs, and only then estimate the structural model, including indirect effects and interactions. Every topic is worked through live on real data, so you leave with a procedure you can repeat on your own study.
When: 3 & 4 October 2026 (Saturday & Sunday), 6:30 – 9:00 PM (IST)
Where: Live on Zoom
Registration fee: NIL
JMP- Free for academics
What we cover
Session 1 — Introduction to the software interface · Structural Equation Modeling · Exploratory Factor Analysis · Confirmatory Factor Analysis · Reliability and validity of constructs
Session 2 — Path models · Direct, indirect and total effects · Mediation with bootstrap confidence intervals · Moderation and interaction effects
Resource person
Dr. Muralidhara A. — JMP Global Academic Team (B.Tech, MBA, PhD)
- 24+ years of experience in the analytics and data science industry
- Leadership roles at Genpact, Target and Danske
- Trainer in statistical data analysis, data science & machine learning, and Design of Experiments (DOE)
- Has conducted workshops for IISc, the IITs, IIMs, NITs and other academic institutions
- Co-author of Machine Learning for Business Analytics, Wiley International Publications
What you get
Recording access · Certificate · Study material ·
JMP® Student Edition is free for academics, and we will help you install and activate it before the workshop. Please register with your institutional email ID , activation is tied to it.
Register free: https://forms.gle/GG9wWwAzGMiuQnpy7
A separate software installation session will be held tomorrow . Joining details for both will reach you by email.
Do pass this on to colleagues and research scholars who work with survey or scale data.
Warm regards,
Dr. Shalini Sahni
Founder & Director, Koach Scholar
koachscholar.com