JMP 12 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Specialized Models
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13.2 Online Documentation
Consumer Research
• Item Analysis
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Item Analysis
Analyze Test Results by Item and Subject
Item Response Theory (IRT) is a method of scoring tests. Although classical test theory methods have been widely used for a century, IRT provides a better and more scientifically based scoring procedure.
Its advantages include:
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Scoring tests at the item level, giving insight into the contributions of each item on the total test score.
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Producing scores of both the test takers and the test items on the same scale.
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Fitting nonlinear logistic curves, more representative of actual test performance than classical linear statistics.
Item Analysis Example
Contents
Item Analysis Platform Overview
Launch the Item Analysis Platform
The Item Analysis Report
Characteristic Curves
Information Curves
Dual Plots
Item Analysis Platform Options
Technical Details