New nonparametric rank tests for interactions in factorial designs with repeated measures
Journal of Modern Applied Statistical Methods, ISSN: 1538-9472, Vol: 15, Issue: 1, Page: 78-99
2016
- 21Citations
- 5,468Usage
- 53Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations21
- Citation Indexes21
- 21
- CrossRef16
- Usage5,468
- Downloads5,025
- 5,025
- Abstract Views443
- Captures53
- Readers53
- 53
Article Description
New rank tests for interactions in factorial designs are presented and applied to some common factorial designs with repeated measures. The resulting p-values of these tests are compared, along with those obtained by parametric and randomization tests.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84975226405&origin=inward; http://dx.doi.org/10.22237/jmasm/1462075500; http://digitalcommons.wayne.edu/jmasm/vol15/iss1/6; https://digitalcommons.wayne.edu/jmasm/vol15/iss1/6; https://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article=1924&context=jmasm; https://dx.doi.org/10.22237/jmasm/1462075500; https://digitalcommons.wayne.edu/jmasm/vol15/iss1/6/
The Netherlands Press
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