Category Probability Functions
Category Probability Functions is a mathematical construct in item response theory that specifies the probability of an examinee selecting or occupying a particular response category as a function of their latent trait level, distinguishing it from other item characteristic functions by modeling graded or ordered categorical responses in polytomous item models.
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604
Citations
18
Authors
10
Institutions
Publications per year
2017–2026
1
Variants
Item Category Characteristic Curves
Parents
9
Panagiotis Ch. Anastasopoulos, Fred Mannering · Analytic Methods in Accident Research · 2018 · 125 citations · Full text
Public Health, Automotive Engineering, Injury Prevention +17
Scene Parsing From an MAP Perspective
Xuelong Li, Lichao Mou, Xiaoqiang Lu · IEEE Transactions on Cybernetics · 2014 · 42 citations · Full text
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Federal Institute for Occupational Safety and Health
Dortmund, Germany
1 h-index
1 publications
74 citations
Stanford University
Stanford, United States
1 h-index
3 publications
732 citations
University of South Florida
Tampa, United States
1 h-index
1 publications
125 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
10 citations
University at Buffalo, State University of New York
Buffalo, United States
1 h-index
2 publications
250 citations
Xi'an Institute of Optics and Precision Mechanics
Xi'an, China
1 h-index
3 publications
126 citations

Murdoch University
Perth, Australia
1 h-index
1 publications
29 citations
Colorado State University
Fort Collins, United States
1 h-index
2 publications
60 citations
1–8 of 10
1 publications · 30 citations
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1 publications · 42 citations
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1 publications · 14 citations
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1 publications · 125 citations
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1 publications · 74 citations
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