Robustness of the Within- and Between-Series Estimators to Non-Normal Multiple-Baseline Studies: A Monte Carlo Study
In single-case research, multiple-baseline (MB) design is the most widely used design in practical settings. It provides the opportunity to estimate the treatment effect based on not only within-series comparisons of treatment phase to baseline phase observations, but also time-specific between-seri...
Main Author: | Joo, Seang-Hwane |
---|---|
Format: | Others |
Published: |
Scholar Commons
2017
|
Subjects: | |
Online Access: | http://scholarcommons.usf.edu/etd/6715 http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=7912&context=etd |
Similar Items
-
Is Brief Exposure to Green Space in School the Best Option to Improve Attention in Children?
by: Asier Anabitarte, et al.
Published: (2021-07-01) -
COMPARISON OF METHODS OF ESTIMATING VARIANCE COMPONENTS IN BALANCED TWO-WAY RANDOM NESTED DESIGNS
by: Ebru Kaya BAŞAR, et al.
Published: (2016-03-01) -
Markov Chain Monte Carlo Estimation of Normal Ogive IRT Models in MATLAB
by: Yanyan Sheng
Published: (2008-03-01) -
Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method
by: Liu, Chang
Published: (2010) -
Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH
by: Xavier, Cleber Martins
Published: (2019)