Question 22

Chi-square test is the appropriate statistical technique for examining gender and medication adherence.

The Chi-square test is utilized to determine if there is a significant association between categorical variables, such as gender and levels of medication adherence in this retrospective cross-sectional study.

A) Paired t-test

The paired t-test is designed to compare means from the same group at different times or under different conditions. Since the study examines two different categorical groups (gender) rather than a continuous variable, this technique is not suitable.

B) Mann-Whitney U test

The Mann-Whitney U test is a non-parametric test used to compare differences between two independent groups when the dependent variable is ordinal or continuous but not normally distributed. While it could be applicable to two groups, the Chi-square test is more appropriate for assessing the association between categorical variables like gender and adherence.

C) One-way ANOVA

One-way ANOVA is used to compare means across three or more groups. In this case, since the focus is on two distinct categories (gender), and the outcome is categorical (medication adherence), ANOVA is not the suitable choice.

D) Chi-square test

The Chi-square test is ideal for this scenario as it assesses the relationship between two categorical variables. It allows researchers to evaluate whether the distribution of medication adherence differs significantly between genders, making it the correct statistical technique for this study.

Conclusion

The Chi-square test is definitively the right choice for analyzing the relationship between gender and medication adherence due to its effectiveness in examining associations between categorical variables. All other options are inappropriate given the nature of the data being analyzed, reinforcing the necessity of using the Chi-square test in this research context.