Data Validity Assessment
Data Validity Assessment is a systematic methodological process that evaluates the extent to which data accurately represent the real-world phenomena they are intended to measure, ensuring correspondence between empirical observations and theoretical constructs.
137
Publications
8.8K
Citations
553
Authors
312
Institutions
Publications per year
2017–2026
69
137
1–5 of 137
553
2
h-index
2
h-index
2
h-index
2
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2
h-index
1–5 of 553
312
University of Michigan
Ann Arbor, United States
4 h-index
17 publications
772 citations
State University of Padang
Padang, Indonesia
3 h-index
8 publications
368 citations
Virginia Tech
Blacksburg, United States
2 h-index
2 publications
55 citations
Sebelas Maret University
Surakarta, Indonesia
2 h-index
5 publications
81 citations
University Medical Center Utrecht
Utrecht, The Netherlands
2 h-index
4 publications
108 citations
Universitas Ahmad Dahlan
Yogyakarta, Indonesia
2 h-index
2 publications
26 citations

Johns Hopkins University
Baltimore, United States
2 h-index
9 publications
871 citations
Institut Agama Islam Negeri Bengkulu
Bengkulu, Indonesia
2 h-index
3 publications
58 citations
1–8 of 312
Repository · 4 publications · 91 citations
3
h-index
2 publications · 54 citations
2
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2 publications · 34 citations
2
h-index
JGH · 2 publications · 26 citations
2
h-index
BRM · 2 publications · 551 citations
2
h-index
1–5