Applied Repeated Measures Design in medical field

Abstract

Repeated measures design offers a complete description of the time effect due to the inclusion of all time points. It's used in a wide range of fields such as medical study, behavioral science, agriculture and ecology. A repeated measurement ANOVA, are the appropriate test for making inferences about repeated measures designs, has several advantages. First, it can have greater statistical power, controlling for factors that cause between-subject variability. Second, because of its enhanced statistical power, repeated measures ANOVA can detect the desired effect size with fewer subjects. Finally, it has the ability to track an impact over time, like a task's learning curve. In this paper, the 50 patient’s data that had depression and were getting psychotherapy was analyzed using One-way Repeated Measure ANOVA. These data were collected by questionnaire form at three different times: baseline, second month, and fourth month. The results showed a significant difference in mean scores at threetime points, indicating that used treatment had a positive impact on this disease.