Estimating Hierarchical Linear Models for Single-Case Designs
Description
Provides a set of tools for estimating hierarchical linear
models and effect sizes based on data from single-case designs.
Functions are provided for calculating standardized mean difference effect sizes that
are directly comparable to standardized mean differences estimated from between-subjects randomized experiments,
as described in Hedges, Pustejovsky, and Shadish (2012) ;
Hedges, Pustejovsky, and Shadish (2013) ; and
Pustejovsky, Hedges, and Shadish (2014) .