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Power is the ability to detect that a model / hypothesis is false. 0 is the base model and A is the alternative. The bigger the gap/ larger the effect size, the more power, holding n constant. You choose RMSEA0 and A.
On Sun, Sep 1, 2019, 8:45 AM Shajar <shaj...@gmail.com> wrote:
--Hi, I'm trying to figure out what are rmsea0 and rmseaA in package semTools, in the findRMSEApower function - in terms of lavaan fit measures output.rmsea , rmsea.ci.upper, rmsea.ci.lower, other?I was not able to find explanation for this. I'll appreciate the help. ShajarfindRMSEApower(rmsea0, rmseaA, df, n, alpha = 0.05, group = 1)rmsea0 - Null RMSEArmseaA - Alternative RMSEA
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Sorry, I didn't understand: what is the "base model" and what is the "alternative"?