17.4.2.1 The One-Way Repeated Measure ANOVA Dialog Box
OneWayRMANOVA-Dialog
This dialog can be used to carry out one-way ANOVA analysis. To open this dialog, select Statistics:ANOVA:One-Way Repeated Measures ANOVA from Origin menu.
Supporting Information
Recalculate
Input
Input Data
Set the drop-down list to Raw or Indexed.
| Indexed
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In this mode, one column contains levels of the factor variable and the corresponding response data are in another column.
- Notes: To learn more about how indexed data should be set up for repeated measure ANOVA., refer to the FAQ
- Factor
- Specify the 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.
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| Raw
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In this mode, response data from each level of the factor variable are stored in a separate column.
- Factor
- Name
- Enter the factor name
- Number of Levels
- Default = 2
- Specify the level numbers. And each level will have its own Leveli controls. Note that the system variable @AML can be used to control the max number of supported levels for ANOVA, which is 25 by default. You can change the maximum number of levels by assigning new values to the @AML variable.
- Leveli name
- Default = Factor1 Leveli
- Specify the level name
- Data
- Level i
- Specify the data column of level i
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Descriptive Statistics
Select to include descriptive statistics in the output report.
Significance Level
Specify the significance level for one way repeated measures ANOVA.
Means Comparison
Methods for post-hoc pairwise means comparison.
| Significance Level
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Specify the significance level for pairwise means comparison.
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| Tukey
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Different methods for pairwise means comparison.
(For more information see Algorithms).
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| Bonferroni
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| Dunn-Sidak
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| Fisher LSD
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| Scheffe
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| Dunnett
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| Holm-Bonferroni
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| Holm-Sidak
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| Grouping Letters Table
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Showed difference of mean value with letters. Same letter means no significant difference, while different letter mean significant difference between two groups.
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Output
| Graph Arrangement
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- Arrange Graphs into Columns
- Specify number of columns to arrange output graphs.
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| Dataset Identifier
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Only available when the Input Data is Indexed.
- Identifier
- Choose how to identify your datasets in the output data.
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- Use the range syntax.
- Use the workbook long name.
- Use the worksheet name.
- Use the column long name if it exists, otherwise use the short name.
- Use the column short name.
- Use the column long name.
- Use the column units.
- Use the column comments.
- Use custom formats to define a data identifier. For its usage, please refer to Complete List of @Options.
- Show Identifier in Flat Sheet
- Specify whether to use the dataset identifier in flat sheet.
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| Report Tables
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Specifies the destination of report worksheet tables.
- Book
- Specifies the destination workbook.
- <none>: Do not output report worksheet tables.
- <source>: The source data 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 Result Log.
- Script Window
- Use this check box to specify whether to output the report to 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.
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| Plot Data
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Specifies the destination of plot values.
- Book
- Specifies the plot values workbook.
- <auto>: Follows Report Tables book settings unless you've set Book=<none>.
- <source>: The source data workbook.
- <report>: The report workbook.
- <existing>: A specified existing workbook.
- Sheet
- The destination worksheet, always <new>.
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| Optional Report Tables
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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.
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Plots
| Bar Chart
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Generate a bar chart comparing factor levels.
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| Means Plot (SE as Error)
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Generate a line + symbol plot comparing means and SE of factor levels.
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| Means Comparison Plot
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Generate plots for selected Means Comparison tests.
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