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Statistical Reference Guide
Compare pairs
Testing equivalence of means (related samples)
Test if there is equivalence of means of two related samples.
Select a cell in the dataset.
On the
Analyse-it
ribbon tab,
in the
Statistical Analyses
group,
click
Compare Pairs
, and then click
TOST
hypothesis test.
The analysis task pane opens.
If the data consists of paired/repeated measurements in separate variables:
In the
Model
drop-down menu, select
Paired/Repeated
.
In the
Y
list, select the quantitative variables.
If the data consist of matched pairs with a separate response variable, factor variable, and blocking variable:
In the
Model
drop-down menu, select
Matched
.
In the
Y
drop-down list, select the quantitative response variable.
In the
X (factor)
drop-down list, select the categorical factor variable identifying the groups.
In the
Block
drop-down list, select the blocking variable identifying the matching.
In the
Equivalence interval
edit boxes, type the lower and upper bounds of the equivalence interval. For example, type-5 to +5 if differences between the means of ±5 is the effect size considered to be practically the same.
Optional:
To compare the p-value against a predefined significance level, in the
Significance level
edit box, type the maximum probability of rejecting the null hypothesis when in fact it is true (typically 5% or 1%).
Click
Calculate
.
Related concepts
Equivalence of means hypothesis test
Related reference
Tests for means/medians
Available in Analyse-it Editions
Standard edition
Method Validation edition
Quality Control & Improvement edition
Ultimate edition
What is Analyse-it?
Administrator's Guide
User's Guide
Statistical Reference Guide
Distribution
Compare groups
Compare pairs
Difference plot
Creating a Tukey mean-difference plot
Equality of means/medians hypothesis test
Equivalence of means hypothesis test
Tests for means/medians
Testing equality of means/medians
Testing equivalence of means
Difference between means/medians effect size
Estimators for the difference in means/medians
Estimating the difference between means/medians
Study design
Contingency tables
Correlation and association
Principal component analysis (PCA)
Factor analysis (FA)
Item reliability
Fit model
Method comparison
Measurement systems analysis (MSA)
Reference interval
Diagnostic performance
Control charts
Process capability
Pareto analysis
Study Designs
Bibliography
Version 5.40
Published 29-Jul-2019
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