hierarchical models

lmeInfo

Information Matrices for 'lmeStruct' and 'glsStruct' Objects

Bug in nlme::lme with fixed sigma and REML estimation

About one year ago, the nlme package introduced a feature that allowed the user to specify a fixed value for the residual variance in linear mixed effect models fitted with lme().

Bug in nlme::getVarCov

I have recently been working to ensure that my clubSandwich package works correctly on fitted lme and gls models from the nlme package, which is one of the main R packages for fitting hierarchical linear models.

scdhlm

Between-case SMD for single-case designs

Design-comparable effect sizes in multiple baseline designs: A general modeling framework

In single-case research, the multiple baseline design is a widely used approach for evaluating the effects of interventions on individuals. Multiple baseline designs involve repeated measurement of outcomes over time and the controlled introduction …

New article: Design-comparable effect sizes in multiple baseline designs: A general modeling framework

My article with Larry Hedges and Will Shadish, titled “Design-comparable effect sizes in multiple baseline designs: A general modeling framework” has been accepted at Journal of Educational and Behavioral Statistics.

Analyzing single-case designs: d, G, hierarchical models, Bayesian estimators, generalized additive models, and the hopes and fears of researchers about analyses

New approaches to the analyses of single-case designs are proliferating, which some single-case design researchers welcome and others view with skepticism. In this chapter we describe some of the analyses that we have been exploring, all of which can …

Operationally comparable effect sizes for meta-analysis of single-case research

This thesis studies quantitative methods for summarizing and synthesizing single-case studies, a class of research designs for evaluating the effects of interventions through repeated measurement of individuals. Despite long-standing interest in meta-analytic synthesis of single-case research, there remains a lack of consensus about appropriate methods, even about the most basic question of what effect size metrics are useful and appropriate.