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Differences between tests were checked by χ method, significance being set at P<0.05.
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Significance of differences between samples fixed at the 0.05 probability level for all statistical tests was checked with the Mann–Whitney U test.
Normality of quantitative variables (Shapiro-Wilk test) was checked.
Differences between observed results were checked by the χ test, differences between means were checked by the t-test and analysis of variance (ANOVA), while Mantel–Haenszel test was used to check counfounding effects.
Possible differences in correlation structure between the two test periods were checked with structural equation modelling.
Differences between groups were checked by t-tests and ANOVA.
The assumptions of normality in the residuals and homogeneity of variances between groups were checked with the Shapiro-Wilk test and Bartlett's test respectively.
One-way ANOVA was performed on chemical data; if significant (p < 0.05) effects were found, pairwise comparisons between samples were checked with Tukey's test (Statgraphics XV version 15.1.02, StatPoint Inc., Warrenton, VA, USA).
Differences between groups were checked with ANOVA, t-test or Kruskal Wallis and Mann Whitney depended on normal or skewed distribution, respectively.
Differences between means were checked by the Student's t-test and analysis of variance (ANOVA).
Differences between independent variables were checked by t-test.
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