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    Qualitative researchers should move beyond data saturation, a concept misaligned with constructivist approaches. Instead, prioritize information power, conceptual depth, and theoretical sufficiency for robust qualitative research and data adequacy.

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    Area of Science:

    • Qualitative Research Methodology
    • Epistemology in Social Sciences

    Background:

    • The concept of data saturation is commonly used in qualitative research to determine sample size.
    • This approach is often rooted in a positivist paradigm, which may conflict with the underlying philosophies of qualitative inquiry.

    Purpose of the Study:

    • To critique the use of data saturation in qualitative research.
    • To propose alternative concepts for justifying sample size and data collection cessation.

    Main Methods:

    • Conceptual analysis of research paradigms and sampling strategies.
    • Literature review and synthesis of existing qualitative research principles.

    Main Results:

    • Data saturation is philosophically incompatible with constructivist and interpretivist research paradigms.
    • Alternative concepts like information power, conceptual depth, and theoretical sufficiency offer more appropriate frameworks.

    Conclusions:

    • Researchers should adopt information power, conceptual depth, and theoretical sufficiency over data saturation.
    • Data adequacy should be iteratively assessed throughout the research process, from design to analysis.