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The pre and post attitude measure was compared using term group means (as completion was anonymous) using an independent samples t-test.
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Overall, there were no significant differences in pre and post attitudes to influenza vaccination after viewing the two videos.This suggests that medical students are relatively resistant to the predominately inaccurate, vaccine-critical messaging on YouTube, even when the message is framed as scientific reasoning [ 15].
Based on the data analysis of both the pretest and posttest attitude measures, nursing attitudes became more positive after the interventions.
To assist in describing the attitude evaluation responses, a weighted average Likert score was calculated for the pretest and posttest attitude questions.
A one-way chi-square test analysis for each of the attitude evaluation responses was performed and resulted in p-values that were all less than 0.05 (Table 4) demonstrating that the responses of each pretest and posttest attitude question differed significantly from chance and represented a measure of the attitudes of the nurses with regard to radiation safety.
Pre-and post-attitude questions were compared utilizing a 5-point Likert scale: 1 (strongly disagree) – 5 (strongly agree).
Because the attitude evaluations were not the result of chance alone, the degree of difference between pretest attitudes and posttest attitudes was therefore evaluated.
Following this, we conducted multiple-regression analyses to determine which of the variables contributed to posttest knowledge and posttest attitudes toward science.
A GLM repeated-measures analysis was conducted with pretest and posttest attitudes entered as two measurement occasions and grade entered as a between-subject variable.
To determine the intervention's impact on attitude change, we compared the pretest and posttest attitudes toward science scale using the same paired-sample t test approach as was used to assess content knowledge acquisition.
According to the Jerusalem Post, their attitude inside the courtroom was similar.
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