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Combined statistical analysis method assessing fast versus slow movement training in a patient with cerebellar
Huiqiong Deng1, Teresa J Kimberley, William K Durfee
1Physical Therapy, University of Minnesota, MMC Box 388, 420 Delaware St SE, Minneapolis, MN 55455, USA. dengx044@umn.edu
Background:
Gold standards of data analysis for single-case research do not currently exist.
Objective:
The purpose of this study was to determine whether a combined statistical analysis method is more effective in assessing movement training effects in a patient with cerebellar stroke.
Design:
A crossover single-case research design was conducted.
Methods:
The patient was a 69-year-old man with a chronic cerebellar infarct who received two 5-week phases of finger tracking training at different movement rates. Changes were measured with the Box and Block Test, the Jebsen-Taylor test, the finger extension force test, and the corticospinal excitability test. Both visual analysis and statistical tests (including split-middle line method, t test, confidence interval, and effect size) were used to assess potential intervention effects.
Results:
The results of the t tests were highly consistent with the confidence interval tests, but less consistent with the split-middle line method. Most results produced medium to large effect sizes.
Limitations:
The possibility of an incomplete washout effect was a confounding factor in the current analyses.
Conclusions:
The combined statistical analysis method may assist researchers in assessing intervention effects in single-case stroke rehabilitation studies.
