Critically analyze each article, including the items noted below
Identify one statistical analysis method that you found recurring in many of the articles you used in your literature review for your research proposal. This method does not necessarily have to be nonparametric.
Based on your area of nursing practice, which method of statistical analysis is most frequently used in the research literature? Why do you think other forms of statistical analysis are less frequently used? Provide a rationale for your response.
Article: Fisher, K., Orkin, F., & Frazer, C. (2010). Utilizing conjoint analysis to explicate health care decision making by emergency department nurses: A feasibility study. Applied Nursing Research, 23(1), 30-35. doi:10.1016/j.apnr.2008.03.004
Retrieved from the Walden Library databases.
This article describes a study that employed conjoint analysis, a measurement technique incorporating simulation into experimental design to generate a mathematical model of individual decision making. The study focused on nurses' decisions related to the care of patients with intellectual disability and used contingency tables and nonparametric tests to analyze the data.
Article: Tjia, J., Field, T., Garber, L., Donovan, J., Kanaan, A., Raebel, M., ... Gurwitz, J. (2010). Development and pilot testing of guidelines to monitor high-risk medications in the ambulatory setting. American Journal of Managed Care, 16(7), 489-496.
Development and pilot testing of guidelines to monitor high-risk medications in the ambulatory setting. American Journal of Managed Care, 16(7) by Tjia, J., Field, T., Garber, L., Donovan, J., Kanaan, A., Raebel, M., & Gurwitz, J. Copyright 2010 by INTELLISPHERE, LLC. Reprinted by permission of INTELLISPHERE, LLC via the Copyright Clearance Center.
This article discusses a pilot test that aimed to catalog safety intervention trials by monitoring high-risk medications for efficacy, safety, and drug interactions. The statistical analysis of the study's data included the use of nonparametric tests to examine trends across ordered groups of drugs.