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.DS_Store

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11-multilevel-meta-analysis.Rmd

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11-Effectsizeconverter.Rmd renamed to 12-Effectsizeconverter.Rmd

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6. [Calculating Hedges' *g* from a correlation](#f)
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7. [Calculating Hedges' *g* from an independent t-test](#g)
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8. [Calculating Hedges' *g* from Cohen's *d*](#h)
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9. [Calculating effect sizes for studies with multiple comparisons](#i)
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<br><br>
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hedges_g(d = 0.75, totaln = 50)
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```
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## Calculating effect sizes for studies with multiple outcomes {#i}
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## Calculating effect sizes for studies with multiple comparisons {#i}
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![](stack.jpg)
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book.bib

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year={1987},
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publisher={Am Coll Physicians}
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}
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@article{pastor2018multilevel,
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title={On the multilevel nature of meta-analysis: a tutorial, comparison of software programs, and discussion of analytic choices},
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author={Pastor, Dena A and Lazowski, Rory A},
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journal={Multivariate behavioral research},
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volume={53},
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number={1},
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pages={74--89},
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year={2018},
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publisher={Taylor \& Francis}
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}
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@article{cheung2014modeling,
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title={Modeling dependent effect sizes with three-level meta-analyses: a structural equation modeling approach.},
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author={Cheung, Mike W-L},
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journal={Psychological Methods},
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volume={19},
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number={2},
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pages={211},
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year={2014},
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publisher={American Psychological Association}
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}
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@article{assink2016fitting,
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title={Fitting three-level meta-analytic models in R: A step-by-step tutorial},
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author={Assink, Mark and Wibbelink, Carlijn JM},
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journal={The Quantitative Methods for Psychology},
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volume={12},
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number={3},
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pages={154--174},
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year={2016}
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}
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@article{hedges2009statistical,
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title={Statistical considerations},
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author={Hedges, Larry V},
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journal={The handbook of research synthesis and meta-analysis},
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pages={38--47},
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year={2009},
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publisher={Russell Sage Foundation New York}
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}
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@article{lme4,
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title = {Fitting Linear Mixed-Effects Models Using {lme4}},
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author = {Douglas Bates and Martin M{\"a}chler and Ben Bolker and Steve Walker},
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journal = {Journal of Statistical Software},
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year = {2015},
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volume = {67},
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number = {1},
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pages = {1--48},
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doi = {10.18637/jss.v067.i01},
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}

dats.xlsx

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mlm.

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mlm.data.RData

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