Missing Data In Surveys
Missing Data in Surveys is a methodological construct in survey research that specifically addresses the absence of responses from sampled individuals, distinguishing itself by focusing on the mechanisms, patterns, and implications of nonresponse within structured data collection instruments.
814
Publications
71.8K
Citations
1.8K
Authors
687
Institutions
Publications per year
2017–2026
138
Parents
814
1–5 of 814
1.8K
11
h-index
10
h-index
10
h-index
9
h-index
9
h-index
1–5 of 1.8K
687
University of Michigan
Ann Arbor, United States
27 h-index
73 publications
4.6K citations
Harvard University
Cambridge, United States
16 h-index
41 publications
2.5K citations
University of Maryland, College Park
College Park, United States
15 h-index
24 publications
2K citations
The Ohio State University
Columbus, United States
12 h-index
17 publications
3.3K citations
University of Chicago
Chicago, United States
12 h-index
20 publications
996 citations
RTI International
Durham, United States
12 h-index
17 publications
775 citations
University of California, Los Angeles
Los Angeles, United States
11 h-index
16 publications
3.6K citations
Institut für Arbeitsmarkt und Berufsforschung
Nuremberg, Germany
11 h-index
17 publications
520 citations
1–8 of 687
49 publications · 5.4K citations
29
h-index
POQ · 30 publications · 6.8K citations
26
h-index
JOS · 16 publications · 730 citations
15
h-index
17 publications · 1.6K citations
14
h-index
Repository · 14 publications · 638 citations
13
h-index
1–5