Very large and huge effect sizes
Journal of Modern Applied Statistical Methods, ISSN: 1538-9472, Vol: 8, Issue: 2, Page: 597-599
2009
- 1,786Citations
- 56,670Usage
- 1,544Captures
- 8Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
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.
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
- Citations1,786
- Citation Indexes1,761
- CrossRef1,761
- 1,718
- Academic Citation Index (ACI) - airiti1
- Policy Citations25
- Policy Citation25
- Usage56,670
- Downloads35,423
- 35,423
- Abstract Views21,247
- 21,247
- Captures1,544
- Readers1,544
- 1,174
- 370
- Mentions8
- News Mentions4
- News4
- References3
- Wikipedia3
- Blog Mentions1
- Blog1
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Article Description
Recommendations to expand Cohen's (1988) rules of thumb for interpreting effect sizes are given to include very large and huge effect sizes. The reasons for the expansion, and implications for designing Monte Carlo studies, are discussed. © 2009 JMASM, Inc.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=82355162937&origin=inward; http://dx.doi.org/10.22237/jmasm/1257035100; https://jmasm.com/index.php/jmasm/article/view/452; https://digitalcommons.wayne.edu/jmasm/vol8/iss2/26; https://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article=1536&context=jmasm; https://dx.doi.org/10.22237/jmasm/1257035100
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