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Handbook of Parametric and Nonparametric Statistical Procedures: Third Edition
Abstract
Called the "bible of applied statistics," the first two editions of the Handbook of Parametric and Nonparametric Statistical Procedures were unsurpassed in accessibility, practicality, and scope. Now author David Sheskin has gone several steps further and added even more tests, more examples, and more background information-more than 200 pages of n
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“This paper re-examines the experiment results according to the available statistical guidelines for interpreting kappa values, by showing that the degree of agreement (always in the range 0.09-0.42) has to be interpreted, for all research fields, as unacceptable, poor or, in a few cases, as, at most, fair.”
From Do They Agree? Bibliometric Evaluation versus Informed Peer Review in the Italian Research Assessment Exercise (2016) · cites this paper as Sheskin 2003
In the citing paper
“The statistical technique adopted by ANVUR was Cohen's kappa (Cohen 1960), the most popular index of interrater agreement for nominal categories (Sheskin 2003).”
From Do They Agree? Bibliometric Evaluation versus Informed Peer Review in the Italian Research Assessment Exercise (2016) · cites this paper as Sheskin 2003
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Metadata
- Authors
- Sheskin, D. J.
- Corresponding author
- Sheskin, David J.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2003-08-27
- OpenAlex
- W4293857795
- Cited by
- 1,551
- References
- 0
- Citations by year
- 2026: 57 · 2025: 73 · 2024: 103 · 2023: 99 · 2022: 121 · 2021: 112 · 2020: 145 · 2019: 108 · 2018: 96 · 2017: 105 · 2016: 100 · 2015: 100 · 2014: 60 · 2013: 47 · 2012: 44
- FWCI
- 1.64
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Chapman & Hall/CRC eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistics Education and Methodologies
- Keywords
- hypothesis testing, descriptive statistics, statistical inference, data analysis
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