17.4.1.3 The Two-Way ANOVA Dialog Box
This dialog can be used to carry out two-way ANOVA analysis. To open this dialog, select Statistics:ANOVA:Two-Way ANOVA from Origin menu.
Contents
Supporting Information
- Introduction: Two-Way ANOVA
- Algorithms: Two-Way ANOVA
- Interpreting Results of ANOVA
- Tutorial: Two-Way ANOVA
Recalculate
| Recalculate |
Controls recalculation of analysis results
For more information, see: Recalculating Analysis Results |
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Input
Input Data
Specify Input Data form as Raw or Indexed.
| Indexed |
In this mode, one column contains factor variables data and the other columns contain levels of these factors.
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| Raw |
In this mode, response data from each level of the factor variables are stored in a separate column.
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Interactions
Specify whether to compute interactions between two factors
Significance Level
Specify the significance level of two-way ANOVA.
Descriptive Statistics
Specify whether to compute descriptive statistics.
| Factor A |
Descriptive statistics for factor A. |
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| Factor B |
Descriptive statistics for factor B. |
| Overall |
Descriptive statistics for all samples. |
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Interaction |
This check box is available when Interactions is selected. Provides descriptive statistics for the interaction term. |
Means Comparison
Choose methods of post-hoc pairwise means comparison:
| Significance Level |
Specify the significance level for post-hoc pairwise means comparison. The default is 0.05. |
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Tukey |
Different methods for pairwise means comparison. (For more information see Algorithms). |
| Bonferroni | |
| Dunn-Sidak | |
| Fisher LSD | |
| Scheffe' | |
| Holm-Bonferroni | |
| Holm-Sidak | |
| Grouping Letters Table | Showed difference of mean value with letters. Same letter means no significant difference, while different letter mean significant difference between two groups. |
Tests for Equal Variance
Choose test methods for homogeneity of variance.
| Significance Level | Specify the significance level for equal variance tests. |
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| Levene | | |
Different methods for equal variance test. (For more information see Algorithms). |
| Levene ()^2 | |
| Brown-Forsythe |
Power Analysis
Compute power analysis:
| Actual Power |
Specify whether to perform actual power test. |
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| Hypothetical Power |
Specify whether to perform hypothetical power test. |
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Significance Level |
Specify the significance level for hypothetical power test. The default is 0.05. |
| Hypothetical Sample Size(s) |
Specify the hypothetical sample size, using space to separate each entry. The default is 50 100 200. |
Plots
| Mean Plot | Specify whether to generate the means plot for main effects and interactions in the report sheet.
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| Residual Plot | Residual Plot is used to check if the assumptions for analysis of variance are met. That means to check whether the residuals are normally distributed and have constant variance. Here, Origin shows four types of plots:
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Output
| Dataset Identifier | Specify the identifier for the source datasets. Only available when the Input Data is Indexed.
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| Report Tables |
Specifies the destination of report worksheet tables:
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| Optional Report Tables |
Specifies whether to include additional report tables in the report worksheet:
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