JMP 14.2 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
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
•
Multiple Factor Analysis
•
The Multiple Factor Analysis Report
• Consensus Map
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Consensus Map
The Consensus Map report contains a plot that overlays the individual panelist responses with the average response among all panelists for each item. You might use this map to investigate response consistency among panelists. For example, if a given panelist’s points fall consistently farther from the average of the other panelists, then that panelist might be a candidate to exclude from the analysis. Place your cursor over a data point to view the block label for that point. Click on a product ID in the legend to highlight it in the consensus map.
Select dimension
Controls the dimensions plotted on the consensus map. The first control selects the horizontal dimension, and the second control selects the vertical dimension.
Highlight Product
Controls the transparency of the items according to their inertia score. Small inertia indicates items that panelists have good agreement on. Large inertia indicates items that panelists do not agree on.
Small Inertia
Highlights items with inertia less than or equal to the value in the text box. To adjust the cutoff for the inertia value, use the slider or enter a value in the text box.
Large Inertia
Highlights items with inertia greater than or equal to the value in the text box. To adjust the cutoff for the inertia value, use the slider or enter a value in the text box.
Min and Max Inertia
Highlights the items with the smallest and largest inertia. The text box and slider have no impact on the results when this option is selected.
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Help created on 3/19/2020