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The mean accuracy across items (words) was then computed.
The mean accuracy across participants was 0.82 (SD = 0.09).
The factor-based generative classification accuracy was quite high: the mean accuracy across 11 participants was.801 (far above the p<.001 greater than chance threshold of 0.537).
The mean accuracy across subjects was 0.913 (SD = 0.053).
Figure 1 shows the mean accuracy across the alignments, but it would be straightforward to also show or report the variance or standard deviation across the alignments.
All Mindstreams memory outcome parameters discriminated significantly, with a maximum AUC of 0.859 for mean accuracy across all recognition test repetitions in the 'learning' phase of the Verbal Memory test.
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For the retrieval session, collapsing across item type (i.e. studied and unstudied items), the data related to mean accuracy were analysed.
Percent change in 2-back accuracy was calculated as (mean accuracy on 2-back/4 minus mean accuracy on 2-back/1) divided by mean accuracy on 2-back/1.
We conducted a 2 (biology background) × 2 (presence versus absence of synapomorphies) between-subjects analysis of variance (ANOVA) on the mean accuracy scores across the eight translation problems.
All statistical analyses were carried out using IBM SPSS statistical program version 22. Mean accuracy scores across groups are presented in Table 2.
This factor-based cross-participant generative model matched up the two unseen words with their fMRI images with a mean accuracy of.762 across participants, which is far above the p<.001 threshold of 0.537.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com