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Pages:
2 pages/≈550 words
Sources:
3 Sources
Style:
APA
Subject:
Health, Medicine, Nursing
Type:
Essay
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 8.64
Topic:

Inferential Statistics PT 1

Essay Instructions:

Inferential Statistics PT 1 In this module, you have learned about inferential statistics, hypothesis testing, and types of bias. For the assignment, please read the following article. Hammett, M., Jankosky, C., Muller, J., Hughes, E., & Litow, F. (2012). Physician Review of Workers' Compensation Case Files: Can It Affect Decision Outcomes? Military Medicine, 177(1), 17-22. Retrieved September 1, 2012 from ProQuest. Write a 2-page essay that includes the following -- as you have done in previous case studies, use subheadings to guide the flow of your paper: • Provide the reference for the article (you can copy and paste it from this page) • Introduce the topic of the article. • Identify the research hypothesis for the study. If the hypothesis is inferred, you may state it in your own words. • Identify the dependent variable and the independent variable(s). • Identify the method for selecting participants in the study, if applicable. • Discuss the particular types of bias in the study • What statistical testing procedure was used to analyze the results of the study? • What ethical concerns, if any, would you have about the way the study was conducted? • Please discuss any other concerns or potential problems with the study. • What conclusions can you draw from your critique of the study? This should not be about your personal opinion about the topic, but your conclusions about how the study was conducted and what researchers should consider when planning similar studies. If you are unclear about any of the above terminology, review the homepage and background materials for Modules 1, 2, 3, and 4, as well as the PowerPoint presentations on bias and on research design. ASSIGNMENT EXPECTATIONS: Please read before completing assignments. • Copy the actual assignment from this page onto the cover page of your paper (do this for all papers in all courses). • Assignment should be 2 pages in length (double-spaced). • Please use major sections corresponding to the major points of the assignment, and where appropriate use sub-sections (with headings). • Remember to write in a scientific manner (try to avoid using the first person except when describing a relevant personal experience). • Quoted material should not exceed 10% of the total paper (since the focus of these assignments is on independent thinking and critical analysis). Use your own words and build on the ideas of others. • When material is copied verbatim from external sources, it MUST be properly cited. This means that material copied verbatim must be enclosed in quotes and the reference should be cited either within the text or with a footnote. • Use of peer-reviewed articles is required. Credible professional sources are used (for example, government agencies, nonprofit organizations, academic institutions, scholarly journals). Wikipedia is not acceptable. • Cite all references within the paper and list them at the end. Please use APA style.

Essay Sample Content Preview:

Inferential Statistics PT 1
Student’s Name
University
Reference:
Hammett, M., Jankosky, C., Muller, J., Hughes, E., & Litow, F. (2012). Physician Review of Workers' Compensation Case Files: Can It Affect Decision Outcomes? Military Medicine, 177(1), 17-22. Retrieved September 1, 2012 from ProQuest
Topic of the Article:
With the increasing cost in the Federel Employee Compensation program, there is a greater to need to understand the various factors that can lead to employee claims. In this article by M. Hammet, C. Jankosky, J. Muller, E. Hughes and F. Litow ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "author" : [ { "dropping-particle" : "", "family" : "Hammett", "given" : "M.", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Jankosky", "given" : "C.", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Muller", "given" : "J.", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Hughes", "given" : "E.", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Litow", "given" : "F.", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" } ], "container-title" : "Military Medicine", "id" : "ITEM-1", "issue" : "1", "issued" : { "date-parts" : [ [ "2012" ] ] }, "page" : "17-22", "title" : "Physician Review of Workers' Compensation Case Files: Can It Affect Decision Outcomes?", "type" : "article-journal", "volume" : "177" }, "suppress-author" : 1, "uris" : [ "/documents/?uuid=2459cc2b-b327-4927-a7aa-9a2b8f2e7b14" ] } ], "mendeley" : { "previouslyFormattedCitation" : "(2012)" }, "properties" : { "noteIndex" : 0 }, "schema" : "https://github.com/citation-style-language/schema/raw/master/csl-citation.json" }(2012) the authors attempts to determine how initial medical opinions inserted by Navy physicians into adjudication files can affect final decisions on such compensation cases. Moreover, the articles explores the patterns in claim types and its relationship to various worker attributes. Through the findings of this research, the authors hope to "highlight how OEM physicians can assist non-physicians who are tasked with handling complex claims, to encourage other OEM physicians to initiate local program improvements" ADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "author" : [ { "dropping-particle" : "", "family" : "Hammett", "given" : "M.", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Jankosky", "given" : "C.", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Muller", "given" : "J.", "non-dropping-particle" : "", "parse-names" : false, "suffix" : "" }, { "dropping-particle" : "", "family" : "Hugh...
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