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How to Include the Main NET Column in Column Comparisons

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By default in Displayr, NETs are excluded from Column comparisons. This article describes how to include the overall NET column when performing column comparison stat testing. These instructions will help you go from this:

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To this:

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Requirements

Please note this requires the Data Stories module or a Displayr license.

A table with:

1. Compare columns selected in the Appearance > Significance menu.

2. A main (overall) NET or Total column, see Banners for more detail on how to create these.

3. A categorical (nominal) question or banner with at least one categorical variable set used in the columns (cannot be a date question).

 

Note: Significance testing is only available in Data Stories if the table underneath the visualization is based on a Data Set, rather than an imported Excel table.

Method

  1. Select one of the column headers in the table and go to the object inspector.
  2. There go to Appearance > Significance > Advanced. IMPORTANT: Please read through How to Apply Significance Testing in Displayr to understand what each function performs before making updates to the statistical assumption settings in your project.
    1. Untick Recycle column letters in the Column Comparisons tab.
    2. In the Overlaps menu in the Column Comparisons tab, select Independent or Dependent as desired.
  3. In the Test Type tab it is also recommended that you:
    1. Change the Proportions setting to Survey Reporter or Quantum.
    2. Change the Means setting to Survey Reporter or Quantum.
  4. Back in the Column Comparisons section, use the Comparisons to specify which groups of columns should be compared. See How to Specify Columns to be Compared in a Table for more on this.
  5. Or, if you want to compare all columns and the NET/Total without specifying specific comparisons, select All columns and tick Include NETs.

Additional changes you may also consider:

Change Weights and significance to Kish's approximation in the Significance levels section.

Un-tick Within row and span under Column comparisons.

Next

How to Specify Columns to be Compared in a Table

How to Change the Overall Confidence Level at which Significant Differences are Displayed

How to Interpret Column Comparisons

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