Researchers must make informed choices about the type of statistical analysis that best addresses the research question. For the past several weeks, you have been

Researchers must make informed choices about the type of statistical analysis that best addresses the research question. For the past several weeks, you have been considering how and when a particular statistic should be employed. This week, you have focused on the use of nonparametric tests. Nonparametric methods are useful to researchers in performing statistical analyses of quantitative data sets that do not follow normal distributions and that have inconsistent variation. Nonparametric methods are often applied when ordinal-level data are collected and, as such, rely on fewer assumptions than their parametric counterparts. In this Discussion, you examine the two articles in this week’s Learning Resources, both of which employ nonparametric methods of statistical analysis. In addition, as the final week of exploring quantitative statistics, you consider which statistical method is most frequently used in your area of nursing practice. a cohesive response that addresses the following: 1) Critically analyze each article, including the items noted above. (See attached file for 1 article & follow this link for the 2nd article: http://www.ajmc.com/journals/issue/2010/2010-07-vol16-n07/AJMC_2010jul_Tija_489to496). 2) 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. 3) Based on your area of nursing practice (Critical Care), 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. Chapter 25, “Using Statistics to Determine Differences” Statistics and Data Analysis for Nursing Research Chapter 8, “Chi-Square and Nonparametric Tests” This chapter defines nonparametric tests and chi-square tests of independence. Nonparametric tests measure nominal or ordinal variables, whereas chi-square tests are used to draw conclusions about population differences. 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. (Follow this link: http://www.ajmc.com/journals/issue/2010/2010-07-vol16-n07/AJMC_2010jul_Tija_489to496) 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. Purchase the answer to view it

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