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Qualitative Research in Healthcare: Data Analysis.

Dasom Im1, Jeehye Pyo1,2, Haneul Lee2

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This review explores six qualitative research methodologies, focusing on data analysis and validation. It aims to guide researchers in selecting and evaluating qualitative approaches for comprehensive participant experience studies.

Keywords:
MethodologyQualitative researchValidation

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Area of Science:

  • Social Sciences
  • Healthcare Research

Background:

  • Quantitative research traditionally dominates healthcare, focusing on statistical analysis.
  • Qualitative research offers a method to explore in-depth participant experiences and phenomena.
  • There's a growing application of qualitative methodology across various disciplines.

Purpose of the Study:

  • To review six representative qualitative research methodologies.
  • To detail characteristics, data analysis, and results description for each method.
  • To address criticisms regarding the validity of qualitative research.

Main Methods:

  • Review of consensual qualitative research, phenomenological research, qualitative case study, grounded theory, photovoice, and content analysis.
  • Focus on data analysis techniques and philosophical underpinnings.
  • Examination of validation methods for qualitative research.

Main Results:

  • Provides an overview of six distinct qualitative methodologies.
  • Highlights specific data analysis and results presentation strategies.
  • Discusses validation techniques to enhance the rigor of qualitative studies.

Conclusions:

  • Aims to aid researchers in selecting appropriate qualitative methodologies.
  • Offers criteria for reviewing and evaluating qualitative research effectively.
  • Supports the integration and understanding of qualitative research in diverse fields.