Integration Of Quantitative Data

Integration of Quantitative Data is a methodological process in mixed-methods evaluation that systematically combines numerical data with qualitative evidence within a unified analytical framework to achieve a more comprehensive understanding of the research problem than either data type could provide alone.

729

Publications

79.4K

Citations

2.1K

Authors

892

Institutions

Publications per year

2017–2026

240

Authors

2.1K

  1. AJ
    Anthony J. Onwuegbuzie

    Sam Houston State University, United States

    10 publications · 2.1K citations

    10

    h-index

  2. MD
    Michael D. Fetters

    University of Michigan, United States

    7 publications · 7.4K citations

    7

    h-index

  3. PB
    Pat Bazeley

    Western Sydney University, Australia

    6 publications · 670 citations

    6

    h-index

  4. AB
    Alan Bryman

    Loughborough University, United Kingdom

    5 publications · 5.1K citations

    5

    h-index

  5. AO
    Alicia O’Cathain

    University of Sheffield, United Kingdom

    5 publications · 3.8K citations

    5

    h-index

1–5 of 2.1K

Venues

  1. Journal of Mixed Methods Research

    JMMR · 34 publications · 5.4K citations

    24

    h-index

  2. 8

    h-index

  3. 8

    h-index

  4. PubMed

    Repository · 8 publications · 354 citations

    8

    h-index

  5. Field Methods

    6 publications · 494 citations

    6

    h-index

1–5