Exact(1)
It is not fortuitous that one never encounters the opposite, and equally tautological, statement: " A significant difference between groups has been detected; however, perhaps with a smaller sample size, this difference would have proved to be not significant".
Similar(59)
Only two statements showed a significant difference: whether "the candidate discusses how he/she would assess student learning on an exam or other future assignment" (Q5: Kruskal-Wallis χ = 6.11, df = 2, p < 0.05) and whether "the candidate explains why he/she is using certain teaching strategies" (Q19: Kruskal-Wallis χ = 8.51, df = 2, p < 0.05).
In Zimbabwe, there were no statements that resulted in significant differences in responses from boys and girls at the preintervention stage; postintervention, there were three statements where there was a significant difference between boys and girls – these related to the health messages 'eat a balanced diet', 'vaccinate yourself and your family' and 'take your prescribed medication'.
In dimension A, concerning all patients out-of-hours, there is a clear trend in most items that the "risk avoiders" differ from the rest, and there is a significant difference in the statement "When it comes to OOH-medicine I'm quite cautious" (p = 0.024).
In dimension B, we found a significant difference in the statement "I don't worry about a complaint being made about me" (p = 0.006), where the group "risk avoiders" had a mean score of 2.2 versus the mean score of 3.2 for the rest of the physicians.
Friedman test indicated a significant difference in agreement with the 3 statements that described different methods to assess growth (statements 11-13: Friedman chi-square=19.3, p<0.001).
Post-hoc testing found a significant difference between ratings for statements 11 and 12 (Wilcoxon Z=-3.5, p<0.001) and 12 and 13 (Wilcoxon Z=-3.1, p=0.002).
Logistic regressions were conducted for the 31 statements for which the chi-square tests showed a significant difference in the preference scores between the age groups.
There is also a significant difference in agreement with the statement "I am knowledgeable about computer security" between the groups, with "users" rating their agreement with that statement as higher than "non-users".
The chi-square tests showed a significant difference in preference score between two or more different age groups for 53.4% (n = 31) of the preference statements.
This statement is further confirmed by results reported in Figure 4, showing only in EC condition a significant difference for both MP and MD values in the groups.
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Justyna Jupowicz-Kozak
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