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Sample sizes are chosen so as to make accurate inferences about the difference of effect-sizes and also to convincingly solve the testing of equality of effect-sizes if such is the goal.
Moreover, the simultaneous factor analyses allowed the testing of equality of factor structure, correlations between factors, and possible equality of residual variances.
For continuous traits with normal distributions, this is a flexible approach in that it is able to accommodate all linear models and allows for testing of equality of means, variances, covariances and variance components across subpopulations.
Therefore, for the further analysis the children were divided into three groups: 1) Children in the traumatized parents group with PTSD-related symptoms; 2) Children in the traumatized parents group without PTSD-related symptoms; 3) Children in the non-traumatized parents group (comparison group) For significance testing of equality of means, the Student's t-test was used.
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Levene's test of equality of variance was used to check for equal variances, using the lawstat package (α = 0.05).
If the assumption of equal variances was violated, the Welch test of robust test of equality of means was used.
Levene's test of equality of variance was used to confirm that all groups had equal variances.
Formal tests of equality of variances and normality and independence for the reduced model were executed.
Formal tests of equality of variances, normality, and independence on the reduced model were executed.
A test of equality of distributions shows that the distributions are not the same.
The highlighted cells indicate a p-value of the test of equality of odds lower than 0.05.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com