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Statistical Reference Guide
Fit model
Linear fit
Comparing effect means
Compare the effect means to make inferences about the differences between them.
Activate the analysis report worksheet.
On the
Analyse-it
ribbon tab,
in the
Terms
group, click
Effect Means
.
The analysis task pane
Effect Means
panel opens.
In the
Individual effects
list box, select the individual term check box, and then select the
Multiple Comparisons
check box.
In the
Type
drop-down list, select the comparisons, and then:
If comparing with best, in the
Best
drop-down list, select the "best" group.
If comparing against a control, in the
Control
drop-down list, select the control group.
Optional:
To sort the contrasts by the magnitude of the difference, select the
Ordered
check box.
Optional:
In the
Method
drop-down list, select the multiple comparisons procedure, and in the
Confidence interval
edit box, type the confidence level as a percentage, or type
-
to suppress the confidence interval, and then in the drop-down list, select the confidence bounds.
Optional:
To perform a hypothesis test to test if the difference is equal to 0, select the
Hypothesis test
check box, and then in the
Significance level
edit box, type the predefined significance level against.
Optional:
To show a mean-mean scatter plot, select the
Mean-Mean
scatter plot check box.
Note:
For convenience the confidence interval, hypothesis test, and mean-mean scatter plot options apply to all selected
Individual effects
.
Click
Calculate
.
Related concepts
Multiple comparisons
Effect means
Related reference
Multiple comparison procedures
Available in Analyse-it Editions
Standard edition
Method Validation edition
Quality Control & Improvement edition
Ultimate edition
What is Analyse-it?
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Administrator's Guide
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Statistical Reference Guide
Distribution
Compare groups
Compare pairs
Contingency tables
Correlation and association
Principal component analysis (PCA)
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Item reliability
Fit model
Linear fit
Simple regression models
Fitting a simple linear regression
Advanced models
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Performing ANOVA
Performing 2-way or higher factorial ANOVA
Performing ANCOVA
Fitting an advanced linear model
Scatter plot
Summary of fit
Parameter estimates
Effect of model hypothesis test
ANOVA table
Predicted against actual Y plot
Lack of Fit
Effect of terms hypothesis test
Effect leverage plot
Effect means
Plotting main effects and interactions
Multiple comparisons
Multiple comparison procedures
Comparing effect means
Residual plot
Residuals - normality
Residuals - independence
Plotting residuals
Outlier and influence plot
Identifying outliers and other influential points
Prediction
Making predictions
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Saving variables
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Study design
Method comparison / Agreement
Measurement systems analysis (MSA)
Reference interval
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Study Designs
Bibliography
Version 6.15
Published 18-Apr-2023
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