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Our statistical approach involved identifying voxels that responded to evidence mean and testing their sensitivity to evidence variability, and vice versa.
Similar(59)
Data were obtained in triplicate and expressed as mean and tested for significance by P < 0.05.
Data are provided as arithmetic mean±standard error of the mean and tested for significance using one-way analysis of variance (ANOVA).
More compelling evidence would be obtained by explicitly manipulating distance-to-mean and testing whether the differences predicted by the prototype-based model are observed.
Crude associations with continuous outcomes were examined by means and geometric means and tested for significant differences by one-way analysis of variance (F test).
Data were analysed by comparison of means and tested for normality.
That means consistently engaging and testing.
And what is meant by means testing?
It is still rooted in the poor law principles of needs and means testing – and it looks like staying like that way under the latest set of government reforms.
During the interpretation of the outcomes we took regression to the mean and test difficulty into account.
Furthermore, during the interpretation of our results we took regression to the mean and test difficulty into account.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com