Review of Measuring agreement: Models, Methods, and Applications

2019 ◽  
Author(s):  
Sophie Vanbelle
Keyword(s):  
Measuring Agreement

scholarly journals Measuring Agreement of Modified MP3 and CVMS according to BMI Percentile

2019 ◽  
Vol 46 (1) ◽  
pp. 48-56
Author(s):  
Seoksoon Yi ◽  
Daewoo Lee ◽  
Yeonmi Yang ◽  
Jaegon Kim
Keyword(s):  
Measuring Agreement

Statistical Tools for Measuring Agreement

2012 ◽  
Author(s):  
Lawrence Lin ◽  
A. S. Hedayat ◽  
Wenting Wu
Keyword(s):  
Statistical Tools ◽  
Measuring Agreement

Measuring Agreement Among Ranks

2016 ◽  
Vol 7 (1) ◽  
pp. 45-62 ◽  
Author(s):  
Kathleen Campbell Garwood ◽  
Alicia Graziosi Strandberg
Keyword(s):  
Specific Pattern ◽  
Comparison Methods ◽  
The People ◽  
Data Points ◽  
Good For ◽  
The Individual ◽  
Measuring Agreement ◽  
Different Sources ◽  
Kendall’S W

Is it possible to compare rankings from different sources when the individual rankings of the top x elements differ? To investigate this question, 2015 sustainable rankings from 4 sources that have ranked the top globally most sustainable corporations are considered (Corporate Knights, Fortune's World's Most Admired Companies, Newsweek's Green Rankings, and Harris). These rankings are analyzed using common rank comparison methods (Spearman's ?, Kendall's t). Then, they are analyzed to see if the sources ranking the data are doing so at random or if there is a specific pattern of agreement (Kendall's W and a method by Alvo, Cabilio & Feigin (1982)). The insights from these methods as well as possible limitations are considered. A truly sustainable corporation would transcend all definitions and be good for the environment and the people relying on the company. This paper will attempt to identify data points that tend to cluster close together in one or more groups, thereby justifying the feasibility of identifying sets of companies that are truly the “most” sustainable.

scholarly journals Measuring agreement between decision support reminders: the cloud vs. the local expert

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Brian Edward Dixon ◽  
Linas Simonaitis ◽  
Susan M Perkins ◽  
Adam Wright ◽  
Blackford Middleton
Keyword(s):  
Decision Support ◽  
Local Expert ◽  
Measuring Agreement
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