Effect size, confidence interval and statistical significance: a practical guide for biologists.
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...…a model (Orelien & Edwards 2008), and (iii) information criteria are not comparable across different datasets under any circumstances, because they are highly dataset specific (in other words, they are not standardized effect statistics which can be used for meta-analysis; Nakagawa & Cuthill 2007)....
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...Notably, 95% confidence intervals can function as an indicator of statistical significance as well as an indicator of uncertainty and the presentation of p values should not replace the more informative confidence intervals (Nakagawa & Cuthill, 2007)....
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"Effect size, confidence interval an..." refers background in this paper
...When any three of these four parameters are fixed, the remaining one can be determined (Cohen, 1988; Nakagawa & Foster, 2004)....
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...Cohen (1988) has proposed ‘conventional’ values as benchmarks for what are considered to be ‘small’, ‘medium’, and ‘large’ effects (r ¼ 0.1, 0.3, 0.5 and d ¼ 0.2, 0.5, 0.8, respectively)....
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49,129 citations
"Effect size, confidence interval an..." refers background in this paper
...When any three of these four parameters are fixed, the remaining one can be determined (Cohen, 1988; Nakagawa & Foster, 2004)....
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...Cohen (1988) has proposed ‘conventional’ values as benchmarks for what are considered to be ‘small’, ‘medium’, and ‘large’ effects (r ¼ 0.1, 0.3, 0.5 and d ¼ 0.2, 0.5, 0.8, respectively)....
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36,993 citations
"Effect size, confidence interval an..." refers methods in this paper
...…& Omland, 2004; Stephens et al., 2005; note that the IT approach often results in more than one ‘important’ model, in which parameters, or effect sizes, can be calculated as weighted means according to a weight given to each remaining model; for detailed procedures, see Burnham & Anderson, 2002)....
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