Mastering JMP®

Specialized Modeling Techniques for Interpreting Consumer Studies

Presenter: Jian Cao

Tabulating Survey Data and Testing Hypotheses

The presenter uses employee job satisfaction data to show how to use the Structured option in Categorical Response Analysis to summarize data by key metrics and determine if there are any statistical differences among respondents and across groups.

Watch Now 17:04

Using Factor Analysis to Identify Latent Factors Influencing Decisions

The presenter uses automobile market survey data to identify and group related questions and identify latent factors influencing buying decisions. He uses Factor Analysis to identify key latent factors, examines the variable loading on each factor and returns to the original survey questions to determine language which best describes the latent factors. He concludes by using his findings to predict future buying behavior.

Watch Now 17:27

Using JMP Pro Uplift Modeling to Identify Prospects Likely to Respond to Marketing Promotions

The presenter builds models to compare purchase patterns of people who received a marketing promotion (treatment group) to those who did not receive the promotion (control group). The goal is to identify characteristics of people most likely to respond to future marketing campaigns by purchasing the product.

Watch Now 9:20

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