Data from Figures 2B , 3A–C and 5A were analyzed by repeated measures ANOVA, and the results were followed by Bonferroni post hoc test. Data from Figure 3D were analyzed by two‐way mixed ANOVA (within subjects: interval; between‐groups: drinking solution), and the results were followed by Tukey’s post hoc test in each interval. Correlations from Figures 4 , 5 and 6 were determined by Pearson’s correlations analysis. A significance level of P < 0.05 was applied to all ANOVA statistical analyses. The SPSS statistical software package (version 20.0) for Windows (Chicago, IL, USA) was used for all statistical analysis.
Spss statistical software package version 20.0 for windows
Manufactured by IBM
Sourced in United States
SPSS statistical software package (version 20.0) for Windows is a comprehensive data analysis and statistical software tool. It provides a wide range of statistical and data management capabilities for users to analyze and interpret data. The software includes tools for data manipulation, statistical analysis, and visualization.
Automatically generated - may contain errors
Lab products found in correlation
4 protocols using spss statistical software package version 20.0 for windows
1
Statistical Analysis of Behavioral Correlates
2
Statistical Comparison of Experimental Outcomes
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Statistical comparisons for significance were performed by ANOVA using the SPSS statistical software package (version 20.0) for Windows (Chicago, IL) followed by post hoc (Bonferroni) test to analyze differences, which were considered statistically significant at p < 0.05.
3
Reliability Assessment of OSCE Scenarios
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The following steps have been taken to analyse the data.
To determine the reliability of the OSCE, the standardized Cronbach alpha coefficient across the 7 phases (4 ARDS plus 3 anaphylaxis) was calculated.
Each participant completed 2 scenarios. Mean scores were calculated per individual participant for each separate scenario (ARDS and anaphylaxis).
The mean score for each separate scenario was calculated for PAs and MRs.
Since the data was normally distributed, we used the independent Student t test to investigate whether the mean scores of PAs were equal to that of MRs. We did that for the total of scenarios, for each scenario and for the 7 separate phases.
4
Analyzing Drinking Solution Effects
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Data from Figure 1B were analyzed using a one-way ANOVA (between-groups: drinking solutions) and from Figure 1C was applied to all ANOVA statistical analyses and, when significant, the results were followed by Tukey's post hoc tests. All the analyses were performed after controlling for assumptions (e.g., Levene´s test to assess variance homogeneity among groups), and the anomalous values detected through the SPSS box plot analysis were discarded. The SPSS statistical software package (version 20.0) for Windows (Chicago, IL, USA) was used for all statistical analyses.
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