Supporting thinking on sample sizes for thematic analyses: a quantitative tool

@article{Fugard2015SupportingTO,
  title={Supporting thinking on sample sizes for thematic analyses: a quantitative tool},
  author={A. Fugard and H. Potts},
  journal={International Journal of Social Research Methodology},
  year={2015},
  volume={18},
  pages={669 - 684}
}
  • A. Fugard, H. Potts
  • Published 2015
  • Psychology, Sociology
  • International Journal of Social Research Methodology
  • Thematic analysis is frequently used to analyse qualitative data in psychology, healthcare, social research and beyond. An important stage in planning a study is determining how large a sample size may be required, however current guidelines for thematic analysis are varied, ranging from around 2 to over 400 and it is unclear how to choose a value from the space in between. Some guidance can also not be applied prospectively. This paper introduces a tool to help users think about what would be… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 53 REFERENCES
    Using thematic analysis in psychology
    • 56,485
    • PDF
    A power primer.
    • 29,366
    • PDF
    Sample size in qualitative research.
    • 3,126
    Sampling in Interview-Based Qualitative Research: A Theoretical and Practical Guide
    • 1,328
    • PDF
    Techniques to Identify Themes
    • 3,759
    • PDF
    A Call for Qualitative Power Analyses
    • 633
    • PDF
    Successful Qualitative Research: A Practical Guide for Beginners
    • 2,420
    • PDF
    Statistical Power Analysis for the Behavioral Sciences
    • 93,844
    • PDF