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
Parents
729
1–5 of 729
2.1K
10
h-index
7
h-index
6
h-index
5
h-index
5
h-index
1–5 of 2.1K
892
University of Michigan
Ann Arbor, United States
13 h-index
22 publications
6.1K citations
University College London
London, United Kingdom
10 h-index
20 publications
898 citations

University of Leicester
Leicester, United Kingdom
9 h-index
34 publications
7.4K citations
University of Sheffield
Sheffield, United Kingdom
9 h-index
22 publications
7.9K citations

Cornell University
Ithaca, United States
9 h-index
21 publications
17.8K citations

University of Nottingham
Nottingham, United Kingdom
8 h-index
11 publications
2.5K citations

University of Alberta
Edmonton, Canada
7 h-index
12 publications
1.3K citations

University of Manchester
Manchester, United Kingdom
7 h-index
8 publications
1.3K citations
1–8 of 892
JMMR · 34 publications · 5.4K citations
24
h-index
8 publications · 583 citations
8
h-index
8 publications · 797 citations
8
h-index
Repository · 8 publications · 354 citations
8
h-index
6 publications · 494 citations
6
h-index
1–5