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20260208 - power analysis resources in SEM
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sem.qmd

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# Power Analysis {#sec-powerAnalysis}
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<https://isaactpetersen.github.io/Principles-Psychological-Assessment/structural-equation-modeling.html#sec-monteCarloPowerAnalysis>
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Overview of power analysis in SEM: <https://web.pdx.edu/~newsomj/semclass/ho_power.pdf> (archived at <https://perma.cc/NBB5-C7FL>)
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- <https://yilinandrewang.shinyapps.io/pwrSEM/>
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Example of Monte Carlo simulation using `lavaan`: <https://isaactpetersen.github.io/Principles-Psychological-Assessment/structural-equation-modeling.html#sec-monteCarloPowerAnalysis>
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Example of Monte Carlo simulation using `Mplus`: <https://devpsylab.github.io/DataAnalysis/mplus.html#sec-monteCarlo>
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Toolboxes and webapps:
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- [`semPower` `R` package](https://moshagen.github.io/semPower/) (based on [Moshagen & Bader, 2024](https://doi.org/10.3758/s13428-023-02254-7)), with basic functionality in a Shiny webapp: <https://sempower.shinyapps.io/sempower/>
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- <https://yilinandrewang.shinyapps.io/pwrSEM/> (based on [Wang & Rhemtulla, 2001](https://doi.org/10.1177/2515245920918253))
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- <https://schoemanna.shinyapps.io/mc_power_med/>
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- <https://sjak.shinyapps.io/power4SEM/>
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- <https://sempower.shinyapps.io/sempower/>
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- <https://webpower.psychstat.org/wiki/models/index>
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- <https://sjak.shinyapps.io/power4SEM/> (based on [Jak et al., 2020](https://doi.org/10.3758/s13428-020-01479-0))
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- Basic webapps: <https://webpower.psychstat.org/wiki/models/index> and <https://www.danielsoper.com/statcalc/calculator.aspx?id=89>
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# Path Diagrams {#sec-pathDiagrams}
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