Statistical Analyses And Its Effect On The Quality Of The...

Statistical Analyses The following physiological measures were assessed for statistical significance: RMSSD, HF power, SBP, DBP and HR. A natural log transformation was applied to HRV measures prior to the analysis. Each measure was analyzed using a one-way repeated measures ANOVA across each experimental condition: baseline, stressor, recovery. The application of repeated measures ANOVA calls for the assumption that the dependent variables follow a normal distribution. In the context of this study, normal distribution cannot be demonstrated given the small sample size. However, the present study serves as a pilot study and thus normality will be overlooked in favor of obtaining a sense of the quality of the physiological data. As such, the presence of a normal distribution will be assumed for subsequent statistical analyses. Additionally, the assumption of Mauchly’s Test of Sphericity was assumed to be violated in each case, and the Greehouse-Geisser correction was used in th e resulting analyses. Post hoc tests with Bonferroni’s correction were conducted to assess statistical significance between each experimental condition with one another. An ÃŽ ± level of .05 was used, therefore probability values .05 were determined to be significant. Results Table 1 summarizes the means and standard deviations obtained from descriptive statistics. A repeated measures ANOVA with a Greenhouse-Geisser correction determined that RMSSD values differed significantly across experimentalShow MoreRelatedEssay On Cam1470 Words   |  6 Pagesoptimization of CAMs clinical critical-time components (e.g., set-up, time-in-task). 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