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Develop a Research Design to Address a Research Question, Considering Strength and Weakness of Different Research Method

High-quality research designs must be selected by the researchers so that, the researchers can use those designs to convey those ideas readers in an understandable mode. Both of these tasks are difficult for researchers. The significant features of the research design are framed in an evidently complete form which can be used in qualitative, quantitative, and combination of methods for research. <br>Specific features like inquiry (I), a model of the world (M), a data strategy (D), and a strategy for an answer (A) must be defined in the design approach. These features which provide adequate information needed for researchers and readers must be introduced in the code so as to understand the techniques to analyze bias, accuracy, and power of qualitative inferences.<br>The selection of articles was based on the criterion of inclusion-exclusion that is approved by all authors. The dataset consists of<br>(1) Articles and reviews<br>(2) Studies related to the medical sector<br>(3) Studies in the English language<br>(4) Studies related to big data analytics.<br><br>Click the link to read: https://bit.ly/2ZWZPM1<br>Contact: <br>Website: www.tutorsindia.com<br>Email: info@tutorsindia.com<br>United Kingdom: 44-1143520021<br>India: 91-4448137070<br>Whatsapp Number: 91-8754446690<br>

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Develop a Research Design to Address a Research Question, Considering Strength and Weakness of Different Research Method

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  1. DEVELOP A RESEARCH DESIGN TO ADDRESS A RESEARCH QUESTION, CONSIDERING STRENGTH AND WEAKNESS OF DIFFERENT RESEARCHMETHODS An Academic presentationby Dr. Nancy Agens, Head, Technical Operations, Tutors India Group www.tutorsindia.com Email:info@tutorsindia.com

  2. Today'sDiscussion In Brief Introduction PreliminaryStudy Research Framework Methodology Data Types Machine Learning Conclusion FutureScopes OUTLINE

  3. InBrief High-quality research designsmust be selected by the researchers to convey those ideas readers in an understandable mode. The significant featuresof the research design are framed in an evidently complete form which can be used in qualitative, quantitative, and combination of methods for research. These features which provide adequate informationneeded for researchers and readers must be introduced in the code so as to understand the techniques to analyze bias, accuracy, and power of qualitativeinferences.

  4. Introduction There are two design problems forresearchers. High-level designs must be selected by scholars with given constraints. Researchers must use these designs to communicate with reviewers andreaders. Theaim of this paperis to describe an approach to deal with these problems. Contd..

  5. Thisframeworkis used in the research that expects researchers to present data about the model, the inquiry, the data strategy, and the answerstrategy. Using thisframeworkas a computer code object researchers can declare a design and then its statistical properties can be analyzed based on thisdeclaration.

  6. Preliminary Study A preliminary study has to be performed necessarily before doing research for the better scope of thesearch. Internet or common search engines like Google Scholar can be used to perform a randomsearch. Random search is performed using one or twokeywords based on theresearch. The notion about designing research questions is more consistent after performing some initial research and study of some of thepapers. Contd..

  7. ProcessSteps

  8. Research Framework Data infrastructure solutions and big data analysis are important mechanisms for the researchprocess. This theory is commonly used inbigdataresearch. Data is extracted fromoperational and health informationsystems. This data is used by the researchers to deal with clinical problems such as low budgets, faster turnaround times,etc. The aim of this paper is to identify thetechniques used for the analysis, the application of the big dataresources. Contd..

  9. Big DataAnalytics Contd..

  10. Techniques usedfor theAnalysis

  11. Methodology The first step is the collection of relevantarticles. The dataset consistsof Articles andreviews Studies related to the medicalsector Studies in the Englishlanguage Studies related to big dataanalytics. The second step is to identify the categories andtheir subcategories. Some of the categories and subcategories that are selected were based on theexistingliterature.

  12. DataTypes 1. Clinicaldata Administration and Cost Activity Pharmaceutical data Patientdetails Information derived fromDatabases. The first 4 categories are adapted from the literature andthe Databasesare retrieved from the clinicaldatabases. Themodelingtechniqueis one of the techniques that can include many of the othermethods.

  13. Machine Learning The most preferred form of the analytical techniqueis machinelearning. Analytical model building is a data analysis technique that has been automated by machinelearning. Analytical algorithmsthat are referred by artificial intelligence helps in gaining knowledge from pattern identification, data, and find insights. Machine learningtechniqueshelp to understand complex information from the health sector which cannot be accomplished by the traditional statisticalmethods.

  14. Conclusion The common sources ofinformation for researchersare theinternet. They can post their researched white papers online and make their findings readily available on theinternet. They can also create hyperlinks for already created web pages to scholarlyresources. Research questionsplay a major role in communicating research after their research has beenconcluded.

  15. Future Scopes The adopted framework for research winds up with future research directions. The future work can be grouped under 19 categories, which are further grouped under threeviewpoints: Technologicalenhancements, Research developments, and Enhancements in healthcare organizationprocesses.

  16. CONTACTUS UNITEDKINGDOM +44-1143520021 INDIA +91-4448137070 EMAIL info@tutorsindia.com

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