JMP Software: Introduction to Categorical Data Analysis

Duration: 1.0 day
Course fee:
EPTO units: .
CEUs: 0.6

Available for on-site training or can be scheduled at any SAS training facility if demand warrants.

This outline is provisional and subject to change.

This course teaches you how to analyze attribute response data using association, logistic regression, partitioning, and attribute measurement systems analysis (MSA) techniques.

Learn how to

examine associations among variables
partition data
perform logistic regression
interpret logistic regression output
perform correspondence analysis
conduct an attribute MSA.

Who should attend

Analysts, researchers, technicians, and any others filling similar roles who want to analyze attribute data and who have at least some statistical training

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Prerequisites

Before attending this course, it is recommended you complete the JMP Software: Statistical Data Exploration course or have equivalent experience.

Course Contents

Stratified Data Analysis and Logistic Regression

recognizing the difference between categorical and continuous data analysis
examining associations among variables
performing recursive partitioning
performing logistic regression including odds analysis

Ordinal Logistic Regression and Correspondence Analysis

fitting ordinal logistic regression models
fitting nominal logistic regression models
conducting a correspondence analysis

Attribute Measurement Systems Analysis

conducting an attribute MSA

Software

This course addresses JMP.

Course Materials

Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

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Course fee and EPTO units will differ for on-site training.

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