bootstrap

Confidence Intervals for Multilevel R-Squared

Load Packages An Example Multilevel Model Nakagawa-Johnson-Schielzeth \(R^2\) Right-Sterba \(R^2\) Confidence Intervals for \(R^2\) Parametric Bootstrap Bias-corrected estimate Confidence intervals Residual Bootstrap Confidence Intervals Bootstrap CI With Transformation Conclusion Load Packages library(lme4) ## Loading required package: Matrix library(MuMIn) # for computing multilevel R-squared library(r2mlm) # another package for R-squared ## Loading required package: nlme ## ## Attaching package: 'nlme' ## The following object is masked from 'package:lme4': ## ## lmList ## Registered S3 method overwritten by 'parameters': ## method from ## format.

A weighted residual bootstrap method for multilevel modeling with sampling weights

We propose a weighted residual bootstrap method as an alternative to the multilevel pseudo-maximum likelihood (MPML) estimators..

Multilevel Bootstrap Confidence Intervals for Standardized Effect Size

Bootstrap confidence intervals for multilevel standardized effect size

Although many methodologists and professional organizations have urged applied researchers to compute and report effect size measures accompanying tests of statistical significance, discussions on obtaining confidence interval (CI) for effect size …