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For most behavioral measurements an additional repeated measures factor Time was introduced with 2 levels (evening, morning), and for analyses of EEG data across the 25-min stimulation period levels were represented by the five stimulation-free 1-min epochs subsequent to the 5-min periods of actual stimulation.
Scale scores were analyzed by analysis of variance in which time of measurement (pre, post, follow-up) was a repeated measures factor and type of vignette (depression or schizophrenia) was an independent groups factor.
These methods were considered more appropriate to tap differential intervention effects than using a mixed model with group as between-participants factor and measurement time (pre- versus post-intervention) as repeated measures factor.
In both models, the repeated measures factor was included, relating to different times of rumen content collection.
An ANCOVA with a repeated measures factor for the two tasks with IQ as the covariate found that ASD group scored significantly lower on both emotion and non-emotion facial processing tasks.
We analysed the SWAT scores using a 2 × 2 mixed model ANOVA with the time at which participants filled out the questionnaire (during run / after completion) as repeated measures factor and low / high workload as between subjects factor and mean team SWAT scores as dependent variable.
All ANOVA included a repeated measures factor Stimulation (theta-tDCS vs sham).
ANOVA was used to analyse growth with time as a repeated measures factor.
For all ANOVAs with a repeated measures factor, we performed Mauchly's sphericity test for compound symmetry.
The model included one between-subjects factor (two groups) and one repeated measures factor (five 20 trial blocks).
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The effect of cell transplantation treatment on the optokinetic response was compared as a function of spatial frequency by using two-way ANOVA with treatment as an independent-measures factor and spatial frequency as a repeated-measures factor.
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