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rlme4coefficientsstandardizedmultilevel-analysis
Carolin
Carolin

Reputation: 33

Are lmer-coefficients standardized or not?

I have a very basic question; maybe a bit too basic to find a helpful response googeling it.

I am calcultating multi-level-models using the lmer function using this code:

lmer(H1_rirs, data= df_long_cl, REML = T)

Am I right in assuming that the retrieved coefficients are unstandardized? If yes, is there an easy way to standardize them?

Best,

Carolin

Upvotes: 2

Views: 3419

Answers (2)

MSB
MSB

Reputation: 136

Adding to what @daniel suggested with the effectsize package, there is also the "pseudo-standardized" coefficient (Hoffman, 2015) where the response and the predictor are standardized based on the level of prediction:

library(lme4)

m <- lmer(Reaction ~ Days + (Days | Subject), data = sleepstudy)

effectsize::standardize_parameters(m, method = "pseudo")
#> # Standardization method: pseudo
#> 
#> Parameter   | Coefficient (std.) |       95% CI
#> -----------------------------------------------
#> (Intercept) |               0.00 | [0.00, 0.00]
#> Days        |               0.68 | [0.48, 0.88]

Created on 2021-06-07 by the reprex package (v2.0.0)

Upvotes: 1

Daniel
Daniel

Reputation: 7832

Yes, by default, no standardizing is applied. If you like to get standardized coefficients, one way would be to standardize the data before fitting your model. There is a robust implementation of such a function in the effectsize-package. Or you can do some post-hoc standardization (also effectsize-package). The latter yields different results, the most accurate would be standardizing the data before model fitting.

Upvotes: 2

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