Finally, the statistical analysis reinforces these qualitative findings, with a F-value of 4.98 indicates a significant ratio of variance explained by the model compared to the unexplained variance, suggesting potential differences among the groups. With a P-value of 0.037 (less than the alpha level of 0.05) and an F-value greater than the critical value of 4.35, we reject the null hypothesis, concluding that at least one group mean significantly differs from the others.

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The results of the statistical analysis strongly support the qualitative findings, indicating that there are significant differences among the groups being studied. The F-value of 4.98, combined with a P-value of 0.037, suggests that the variance between group means is not due to random chance, thereby reinforcing the importance of the observed effects in further understanding the dynamics at play within the research context. This highlights the necessity for additional exploration to identify where these differences lie and the factors contributing to them.

Reference: Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Sage Publications.