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In the social and behavioral sciences, it is recommended that effect sizes and their sampling variances be reported. Formulas for common effect sizes such as standardized and raw mean differences, correlation coefficients, and odds ratios are well known ...
Mike W.-L. Cheung
doaj +1 more source
Dealing with effect size multiplicity in systematic reviews and meta‐analyses
Systematic reviews often encounter primary studies that report multiple effect sizes based on data from the same participants. These have the potential to introduce statistical dependency into the meta‐analytic data set.
J. López-López +3 more
semanticscholar +1 more source
There are different measures for effect size to compare 2 means, The most common effect sizes are Cohen’s d, Hedges’ g and Glass’ delta3. I leave relative risk, odds ratios, correlation coefficients, etc., for another occasion because they are beyond the scope of this editorial and I prefer to introduce concepts slowly.
openaire +2 more sources
How Many Samples are Enough When Data are Unbalanced?
A crucial component of the design of a study is the number of participants or observations sample size required. Taking too many samples will waste time and resources, both in collecting and analyzing the data.
Mehmet Mendeş
doaj
Meta‐analyses are an important tool within systematic reviews to estimate the overall effect size and its confidence interval for an outcome of interest.
A. Veroniki +7 more
semanticscholar +1 more source
HIV-related stigma and associated factors: a systematic review and meta-analysis
BackgroundIt has been recognized that HIV-related stigma hinders efforts in testing, treatment, and prevention. In this systematic review, we aimed to summarize available findings on the association between HIV-related stigma and age, social support ...
Zelalem G. Dessie +2 more
doaj +1 more source
Measuring Distribution Similarities Between Samples: A Distribution-Free Overlapping Index
Every day cognitive and experimental researchers attempt to find evidence in support of their hypotheses in terms of statistical differences or similarities among groups.
Massimiliano Pastore, Antonio Calcagnì
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By using large-scale molecular dynamics simulations, the dynamics of two-dimensional (2D) supercooled liquids turns out to be dependent on the system size, while the size dependence is not pronounced in three dimensional (3D) systems.
Kawasaki, Takeshi +3 more
core +1 more source
Multiple components of environmental change drive populations of breeding waders in seminatural grasslands [PDF]
Environments are rapidly changing due to climate change, land use, intensive agriculture, and the impact of hunting on predator populations. Here, we analyzed longterm data recorded during 1928–2014 on the size of breeding populations of waders at two ...
Asferg, Tommy +5 more
core +3 more sources
Relative Selection Strength: Quantifying effect size in habitat‐ and step‐selection inference
Habitat‐selection analysis lacks an appropriate measure of the ecological significance of the statistical estimates—a practical interpretation of the magnitude of the selection coefficients.
Tal Avgar, S. Lele, J. Keim, M. Boyce
semanticscholar +1 more source

