Document Detail


Exact and resampling probability values for measures of categorical variation and consensus.
MedLine Citation:
PMID:  16350636     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
When analyzing categorical data, it is often important to assess the magnitude of variation, or consensus, among observations in unordered categories. Utilizing the theory of partitions, exact solutions for five commonly used measures of categorical variation are presented. When the number of partitions is very large, resampling methods provide close approximations to exact probability values.
Authors:
Janis E Johnston; Kenneth J Berry; Paul W Mielke
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Perceptual and motor skills     Volume:  101     ISSN:  0031-5125     ISO Abbreviation:  Percept Mot Skills     Publication Date:  2005 Aug 
Date Detail:
Created Date:  2005-12-14     Completed Date:  2006-02-21     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0401131     Medline TA:  Percept Mot Skills     Country:  United States    
Other Details:
Languages:  eng     Pagination:  309-16     Citation Subset:  IM    
Affiliation:
Department of Sociology, Colorado State University, Fort Collins, CO 80523-1784, USA. janisj@lamar.colostate.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Analysis of Variance*
Consensus*
Data Interpretation, Statistical*
Humans
Mathematical Computing
Probability*
Sampling Studies
Software

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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