17.4.2.2 The Two-Way Repeated Measure ANOVA Dialog Box

Controls recalculation of analysis results

• None
• Auto
• Manual

For more information, see: Recalculating Analysis Results

In this mode, one column contains subjects, one column contains the corresponding factors data. The other two columns contain factor variables data.

Notes:

• To learn more about how indexed data should be set up for two way repeated measure ANOVA., refer to the FAQ
  
• To learn more about how indexed data should be set up for two way mixed design ANOVA., refer to the tutorial

Factor A

Specify the first factor column. Note that the factor column will be set as categorical if Text column.

Factor B

Specify the second factor column. Note that the factor column will be set as categorical if Text column.

Data

Specify the response data column.

Subject

Specify the subject column.

In this mode, response data from each level of the factor variable are stored in separate columns.

Factor A

Name

Default = Factor A.

Specify the first factor name.

Repeat

Specify whether this factor is variable with repeated measures.

Number of Levels

Default = 2

Specify the level number of Factor A. And each level will have its own Leveli controls. Note that the system variable @AML controls the max number of supported levels for ANOVA (25 by default). You can change the maximum number of levels by assigning new values to the @AML variable.

Leveli name

Default = Factor A Leveli.

Specify the level names of Factor A.

Factor B

Name

Default=Factor B.

Specify the second factor name.

Repeat

Specify whether this factor is variable with repeated measures.

Number of Levels

Default = 2

Specify the level number of Factor B. And each level will have its own Leveli controls. Note that the system variable @AML controls the max number of supported levels for ANOVA (25 by default). You can change the maximum number of levels by assigning new values to the @AML variable.

Leveli name

Default = Factor B Leveli.

Specify the level names in Factor B.

Data

Factor A Leveli

Factor B Leveli

Specify the data column.

Different methods for pairwise multiple means comparison. (For more information see Algorithms).

Identifier

Choose how to identify your datasets in the output data.

• Range

Use the range syntax.

• Book Name

Use the workbook long name.

• Sheet Name

Use the worksheet name.

• Name

Use the column long name if it exists, otherwise use the short name.

• Short Name

Use the column short name.

• Long Name

Use the column long name.

• Units

Use the column units.

• Comments

Use the column comments.

• <Custom>

Use custom formats to define a data identifier. For its usage, please refer to Complete List of @Options.

Specifies the destination of report worksheet tables.

Book

Specifies the destination workbook.

• <none>: Do not output report worksheet tables.

• <source>: The source data workbook.

• <new>: A new workbook.

• <existing>: A specified existing workbook

Sheet

The destination worksheet, always <new>.

Result Log

Use this check box to specify whether to output the report to the Results Log.

Script Window

Use this check box to specify whether to output the report to the Script Window.

Notes Window

Use this drop-down list to specify the destination Notes Window:

• <none>: Do not output to any Notes window.

• <new>: Output to a new Notes window. You can enter the desired name of the Note window here.

Specifies what is output to report worksheet.

Notes

Notes table.

Input Data

Table for input data.

Masked Data

Table for masked data.

Missing Data

Table for missing data.