Design your experiments with the help of AI, and go step by step from the basics of experimental design to Structural Equation Modelling. Everything runs on Google Colab with ready-made notebooks shared with you.

No coding knowledge is required.

Resource Person- Associate Professor from IIM

Faculty brings extensive academic and research experience in publishing experimental methods and has a strong record of publishing in A and A* journals.

Key Learning Outcomes

·       You will be able to design experiments for your study

·       You will be able to understand how AI can be used to design experiments

·       You will be able to apply advance experimental techniques

Workshop Schedule and Content

Day 1 (24 Nov): Designing Experiments with AI

·       Experimental vs. observational research: confounds, control and random assignment

·       From research question to hypotheses to treatment conditions

·       Building stimuli, vignettes and scenarios with AI, then judging their realism and fit

·       Manipulation checks, attention checks and human pretesting of AI-built stimuli

Day 2 (25 Nov): Applying Statistical Tools

·       Getting started in Google Colab with ready-to-use Python notebooks, with no coding needed

·       t-tests, one-way ANOVA and ANCOVA for experimental data

·       Factorial ANOVA (2×2, 2×3) and testing interaction effects

·       Reading and interpreting outputs, including effect sizes reviewers expect

Day 3 (26 Nov): Multi-Factor and Complex Experimental Designs

·       Between-subjects vs. within-subjects designs: strengths and trade-offs

·       Designing experiments that test interaction effects

·       Multi-factor and multi-study designs

·       Protecting internal validity: demand effects, confounded manipulations, robustness checks

·       Linking empirical results back to theory 

Day 4 (27 Nov): Mediation and Moderation using SEM

·       The logic of mediators and moderators in experiments

·       Testing mediation with bootstrapped indirect effects in SEM

·       Testing moderation through interaction terms and multi-group SEM

·       Reporting experiments the way top journals expect, plus an open Q&A clinic

Who Should Attend

·       Faculty Members

·       Doctoral and Post Doc Scholars

·       Independent Researchers

·       Practitioners