Office excel 2010

Data were entered into Microsoft Office Excel 2010, cleaned and analysed using SPSS version 20.0. To identify statistical significant variables, a chi-square test with P=0.05 significance levels was employed.

Data were presented as frequencies with percentages for categorical variables and means with SDs or median (interquartile range) for continuous variables. Differences in categorical outcomes were assessed using McNemar's test. The Normal distribution was confirmed using the Kolmogorov–Smirnov test. Differences between pre-training and post-training were compared using the Wilcoxon matched-pairs signed-rank test for continuous variables with non-parametric distribution and the paired sample t-test for continuous variables with normal distribution. We use the Bonferroni correction to control the type I error rate when multiple testing is performed (20 (link)). All statistics were managed by Office Excel 2010 and analyzed using SPSS 24.0. Two-sided p-values < 0.05 were considered significant.

All experiments and analyses were carried out in triplicate and data represent the mean values. Microsoft Office Excel 2010 and SPSS (17.0) software were used for data analysis. One‐way ANOVA and independent‐sample t test were used for statistical analysis.

All data were entered in Microsoft Office Excel 2010 and average Likert-scores and
standard deviations were calculated using SPSS for the importance rating of thirty-two
criteria (part B) and the importance of prioritizing certain risk groups (part D). For the
analysis of the ranking exercises, a criterion received ten points when ranked in first
place, nine in second place, etcetera, and zero points when ranked below the
10^th place. Average ranking scores and standard deviations were calculated for
each criterion. For part D, the reasons for prioritizing a risk group were entered in
Excel and the frequency was counted accordingly.

Data collected in this research will be stored and processed in computerized database using the Microsoft Office Excel 2010 and Statistical Package for the Social Sciences (SPSS) version 20.0 software. Descriptive and inferential statistics of collected variables will be performed, and data will be presented through tables, charts and figures.
Statistical analysis of comparison and correlation of data obtained will be performed. The Kolmogorov-Smirnov test will be performed to analyze sample normality. Likewise, Pearson or Spearman tests will be used for correlational analyses. Categorical variables will be analyzed using the chi-square test or Fisher’s exact test. To compare the KAI and STAI assessment with the intervention and control groups, Student’s t-test will be applied. Comparing the IAC and IDATE classification with the group of intervention and control, the chi-square test (χ²) will be applied. Being adopted throughout the study a significance level of 5% at which p = 0.05.