Spss statistics vs 25

Statistical analysis of the results was performed using the IBM SPSS Statistics vs.25.0 software (IBM Corp. Released 2017, Armonk, NY: IBM Corp.). Counts and percentages were used to describe all qualitative variables. Pairwise comparison of before-after patient attendance positive sample’ collection was performed using the McNemar test. Comparison of positive MRSA or MSSA samples after clinical attendance per clinical attendance clinic (due to low counts, analysis per clinical attendance clinic were performed excluding the Odontopediatric Clinic and the Special Patients Clinic) or per dental medicine equipment surface were performed with chi-square tests with Bonferroni correction. All comparisons were performed using a 5% level of significance.

The data analysis was conducted using IBM® SPSS® Statistics vs 25.0 (Armonk, NY, IBM Corp., USA). Qualitative variables (brand and size, contamination of collected GP points and disinfection protocol) were described using absolute and relative counts (n and %). Comparison of distributions was performed using the chi-square test and differences between characteristics of dichotomic variables were performed using the binomial test. The significance level was set at 0.05 (P=0.05).

The statistical analysis was performed using IBM SPSS Statistics vs. 25.0 (IBM Corp, Armonk, NY) considering a level of significance of 0.05 for all the inference tests. The statistical analysis started with the detection of possible outliers and with the test to the normality of the distribution of the quantitative variables (Kolmogorov-Smirnov test). The “Age,” “Practice per week,” and “hours per practice” variables were not normally distributed and are reported through median (interquartile range). The other variables are reported in the form of mean ± standard deviation. The comparison of continuous data was made using the T Test for paired samples, whereas the comparison of the variables between the 2 groups was performed using the T Test for independent samples. The Wilcoxon-Mann-Whitney nonparametric test was used for the variables “Age,” “Training per week,” and “Training hours.” The same test was used to compare the 2 groups. Statistically significant differences (P < .05) were noted with an asterisk (^*).