Due to numerous complications involving missed medication dosages, you implement a study to determine the best strategy for enhancing medication adherence. Patients who are on a daily medication regime will be recruited, receive a complimentary 1- month dosage of their regular medication(s), and randomly assigned to one of four groups: Group 1 will serve as the control group (no treatment); Group 2 will participate in a 1-hour in-person pharmacist administered medication adherence workshop; Group 3 will receive a text message reminder with a picture of the drug (e.g., It’s time to take one tablet of Drug A); Group 4 will attend the medication adherence workshop and also receive text messages. At the end of 1 month, participants will present their prescription bottle(s); you will count the remaining pills and calculate the dosage adherence percentage (e.g., 0 pills remaining = 100% adherence). At the conclusion of the month, each participant will answer the Acme Health Outlook Survey, a self-administered instrument to measure how pessimistic/optimistic one feels about his or her health (1 = Strong negative outlook . . . 20 = Strong positive outlook).
Data set: Ch 07 – Exercise 10A.sav
Codebook
Variable: Group
Definition: Group number
Type: Categorical (1 = Control, 2 = Rx workshop, 3 = Texts, 4 = Rx workshop and texts)
Variable: RxAdhere
Definition: Percentage of medication adherence
Type: Continuous (0 . . . 100)

Variable: Health_outlook
Definition: Score on Acme Health Outlook Survey
Type: Continuous (1 = Strong negative outlook . . . 20 = Strong positive outlook)

a. Write the hypotheses.
b. Run each criterion of the pretest checklist (n quota, normality, moderate correlation, homogeneity of variance-covariance [Box’s M test], and homogeneity of variance [Levene’s test]) and discuss your findings.
c. Run the MANOVA test and document your findings (ns, means, and Sig. [p value], hypotheses resolution).
d. Write an abstract under 200 words detailing a summary of the study, the MANOVA test results, hypothesis resolution, and implications of your findings.