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Preliminary analysis with repeated measures ANOVA models revealed, that day (2 days per treatment) as inner subject repeats, treatment order (2 levels, between-subject factor), progressing season (covariate) and weight loss during experiment (covariate) were not explaining variance.
Each observation (i.e. measurement on each side) is modelled as a sample from a normal distribution with mean equal to the unknown trait value and variance equal to the degree of measurement error (σME): where i = 1..N and j = 1..K with N = number of individuals and K = number of within subject repeats.
The test was a modified version of the digit span test used on the Weschler Adult Intelligence Scale, in which a researcher reads strings of simple numbers to a subject, and the subject repeats the numbers back to the researcher in the correct order.
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A same subject repeated measures design was used for the reliability component of this study.
When this subject repeated the experiment, with 1,000 new images (thus, chance performance = 0.1%), accuracy was still 82% correct.
The effects of whole body vibration (WBV) in horses with chronic lameness were evaluated in an experimental, single subject, repeated measure design.
After 60 s of rest, the subject repeated the contraction.
The subject repeated the test two times, and the shortest time spent was recorded.
The time of measurement (baseline, 5, 12 and 24-weeks post baseline) defined the within subject repeated measures factor.
For Lacy's other subjects, repeated success has yet to be determined.
A single-blinded, randomised, within subjects, repeated measures design was conducted on 15 asymptomatic subjects.
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