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Critical Thinking Statistical Analysis of an Article

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Critical Thinking Concept Review
1. Choose three peer C-reviewed research articles and write a short review of each of them that includes the following:
a. Write the problem statement.
b. Name the theoretical model used or briefly describe the overall conceptual model.
c. Write out the main research questions. What is the rationale for the question?
d. List the main hypotheses that the study seems to be testing.
e. Define the dependent variable and the main independent variables.
f. Briefly describe the research design.
g. Describe the sample (e.g. size, sociodemographic characteristics) and how it was obtained.
h. List the statistics used to test the hypotheses.
i. Identify the main assumptions and limitations.

© BrainMass Inc. brainmass.com September 23, 2018, 3:18 am ad1c9bdddf - https://brainmass.com/statistics/hypothesis-testing/537070

Solution Preview

The research article is:
Medication adherence among HIV+ adults:
Effects of cognitive dysfunction and regimen complexity
C.H. Hinkin, PhD, S.A. Castellon, PhD, R.S. Durvasula, PhD, D.J. Hardy, PhD, M.N. Lam,
PhD, K.I. Mason, PhD, D. Thrasher, PhD, M.B. Goetz, MD, and M. Stefaniak, BA
Department of Psychiatry & Biobehavioral Sciences (Drs. Hinkin, Castellon, Hardy, Lam, Mason,
and Thrasher, and M. Stefaniak), UCLA School of Medicine; VA Greater Los Angeles Health
Care System (Drs. Hinkin, Castellon, Lam, and Goetz); Department of Psychology (Dr.
Durvasula), California State University at Los Angeles; and Department of Medicine (Dr. Goetz),
UCLA School of Medicine, Los Angeles, CA

Background:
The objective of this research article or study to see the effects of cognitive impairment impaired vs normal) and medication regimen complexity (medication taken one or two doses/day vs three times daily) on antiretroviral adherence.
Independent variables:
1) ...

Solution Summary

This solution is comprised of a detailed explanation on null and alternative hypothesis, methods used in analysis, final conclusion based on the test statistics and p-values of a research article.

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