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2 votes

How do I quantify the effect of a factor with many levels?

You have clustered data. By fixed effects, did you mean you used Brood ID as a regular predictor in the model, so there are 150 parameters to estimate, 1 intercept and 149 deviations? This can result ...
DrJerryTAO's user avatar
  • 1,544
1 vote

Cohen's d or Cohen's d-like effect size estimate for regression slope?

Cohen actually devotes two entire chapters of his book “Statistical Power Analysis for the Behavioral Sciences” to this subject. I suggest you find it and read it. The regression coefficient is ...
W_vH's user avatar
  • 176
5 votes

Cohen's d or Cohen's d-like effect size estimate for regression slope?

Rolando's suggestion is already the most analogous approach in regression (if standardized measures is what you are after), but I would add that using unstandardized effect sizes could also be useful ...
Shawn Hemelstrand's user avatar
6 votes

Cohen's d or Cohen's d-like effect size estimate for regression slope?

You can use the standardized regression coefficient ($\beta$) as an effect size. This will be analogous to $r$, and so it can be easily converted to a Cohen's $d$ if needed. Note that once in a blue ...
rolando2's user avatar
  • 12.5k
0 votes

Converting unstandardised regression coefficients to Cohen's d for meta-analysis

Cohen's d compares the means of two groups, specifically standardized relative to the standard deviation of these groups. With two continuous variables, standardized effect size statistics would ...
Sal Mangiafico's user avatar
2 votes
Accepted

Completely standardized indirect effect (Preacher & Kelley, 2011) in lavaan

Let's not forget that "completely standardized indirect effect" is simply the product of standardized regression coefficients, which is not directly attributable to Preacher & Kelley (...
POC's user avatar
  • 668

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