Error Interpretation
Error Interpretation is a methodological contribution in data interpretation that systematically identifies, classifies, and explains inaccuracies or discrepancies in data, models, or results to improve analytical validity and inferential reliability.
99
Publications
5.1K
Citations
215
Authors
117
Institutions
Publications per year
2017–2026
6
Parents
99
In Pursuit of Moderation: Nine Common Errors and Their Solutions1
Carte, Russell · MIS Quarterly · 2003 · 562 citations · Full text
The Field Guide to Understanding Human Error
Mark S. Young · Ergonomics · 2008 · 281 citations
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117

Rice University
Houston, United States
4 h-index
7 publications
405 citations
Michigan State University
East Lansing, United States
3 h-index
3 publications
193 citations
Houston Methodist
Houston, United States
3 h-index
3 publications
193 citations
King's College London
London, United Kingdom
2 h-index
3 publications
155 citations

The University of Melbourne
Melbourne, Australia
2 h-index
3 publications
151 citations
University of Washington
Seattle, United States
2 h-index
5 publications
280 citations
Yale University
New Haven, United States
2 h-index
4 publications
500 citations

Pennsylvania State University
State College, United States
2 h-index
2 publications
65 citations
1–8 of 117
AN · 2 publications · 136 citations
2
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2 publications · 681 citations
2
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2 publications · 52 citations
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SF · 2 publications · 169 citations
2
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2 publications · 55 citations
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