Articles liés à Handbook of Inter-Rater Reliability (Second Edition)
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Synopsis
Inter-rater reliability is a very powerful quality measure that is widely used in medical, biological and social sciences. This quality measure has even found application in computational linguistic and cognitive science. It evaluates the extent of agreement between different data-generating sources commonly referred to as raters, observers or coders. Whether you are a researcher who wants to assess the reliability of a classification system, a health care professional who wants to assess consistency in the application of clinical guidelines, you need sophisticated and practical tools to accomplish your measurement task. Handbook of Inter-Rater Reliability provides these tools.
When obtaining the inter-rater reliability, many resear-chers and professionals have used a naïve approach that consists of conducting an inter-rater reliability experiment and computing the relative number of times agreement is observed. However, raters are expected to agree occasionally by chance. For the inter-rater reliability to be precise, it is necessary to correct it for the occurrence of agreement by chance. Handbook of Inter-Rater Reliability shows you how to do that. It actually goes beyond a mere description of existing techniques. It also provides new approaches that resolve the paradoxes of some well-known chance-corrected agreement statistics.
Logically organized, numerous examples accompany each new concept introduced. The topics addressed are directly applicable to a variety of practical problems. The result is an accessible, step-by-step, example-oriented handbook that will help you produce more precise agreement measures.
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About the author
Kilem Gwet, Ph.D.(kilem62@yahoo.com), is a senior statistical consultant with over 11 years of experience in statistical consulting. He has consulted with several organizations in Canada and in the United States and holds a doctorate degree in Statistics.
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