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Scales were checked for normal distribution and where non-normality was found the appropriate non-parametric test was used.
Data were checked for normal distribution using the Shapiro-Wilk W Test. Non-normally distributed data were log-transformed before analysis.
Numerical data were checked for normal distribution and described as mean and standard deviation if normally distributed and as median and inter-quartile range if not normally distributed.
Residuals were checked for normal distribution using QQ-plots.
Prior to ANOVAs, data was visually checked for normal distribution.
Results were checked for normal distribution (Shapiro-Wilk test) and for equality of variances (Levene's test).
Studied parameters were checked for normal distribution by Shapiro Wilk test.
In a first step, the residuals of continuous variables were checked for normal distribution using the Kolmogorov-Smirnov test.
Continuous data were checked for normal distribution using the Kolmogorov-Smirnov test and were presented as mean ± SD or as median (25th to 75th percentile) as appropriate.
Data residuals were first checked for normal distribution, investigating the skewness and kurtosis z-values as well as the Shapiro-Wilk test p value, before testing for homogeneity of variance.
If an individual, child or adult, is known to have or has a family history of serious bleeding disorders (hemophilia), it is recommended that the blood be checked for normal coagulation properties before the procedure is attempted.
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CEO of Professional Science Editing for Scientists @ prosciediting.com