Comprehensive guidelines for appropriate statistical analysis methods in research.

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  • Author(s): Kim J;Kim J; Kim DH; Kim DH; Kwak SG; Kwak SG
  • Source:
    Korean journal of anesthesiology [Korean J Anesthesiol] 2024 Oct; Vol. 77 (5), pp. 503-517. Date of Electronic Publication: 2024 Aug 30.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Korean Society of Anesthesiologists Country of Publication: Korea (South) NLM ID: 101502451 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2005-7563 (Electronic) Linking ISSN: 20056419 NLM ISO Abbreviation: Korean J Anesthesiol Subsets: MEDLINE
    • Publication Information:
      Original Publication: Seoul : Korean Society of Anesthesiologists
    • Subject Terms:
    • Abstract:
      Background: The selection of statistical analysis methods in research is a critical and nuanced task that requires a scientific and rational approach. Aligning the chosen method with the specifics of the research design and hypothesis is paramount, as it can significantly impact the reliability and quality of the research outcomes.
      Methods: This study explores a comprehensive guideline for systematically choosing appropriate statistical analysis methods, with a particular focus on the statistical hypothesis testing stage and categorization of variables. By providing a detailed examination of these aspects, this study aims to provide researchers with a solid foundation for informed methodological decision making. Moving beyond theoretical considerations, this study delves into the practical realm by examining the null and alternative hypotheses tailored to specific statistical methods of analysis. The dynamic relationship between these hypotheses and statistical methods is thoroughly explored, and a carefully crafted flowchart for selecting the statistical analysis method is proposed.
      Results: Based on the flowchart, we examined whether exemplary research papers appropriately used statistical methods that align with the variables chosen and hypotheses built for the research. This iterative process ensures the adaptability and relevance of this flowchart across diverse research contexts, contributing to both theoretical insights and tangible tools for methodological decision-making.
      Conclusions: This study emphasizes the importance of a scientific and rational approach for the selection of statistical analysis methods. By providing comprehensive guidelines, insights into the null and alternative hypotheses, and a practical flowchart, this study aims to empower researchers and enhance the overall quality and reliability of scientific studies.
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    • Contributed Indexing:
      Keywords: Algorithms; Biostatistics; Data analysis; Guideline; Statistical data interpretation; Statistical model.
    • Publication Date:
      Date Created: 20240830 Date Completed: 20241002 Latest Revision: 20241013
    • Publication Date:
      20241013
    • Accession Number:
      PMC11467495
    • Accession Number:
      10.4097/kja.24016
    • Accession Number:
      39210669