.png){kind=icon}
Return
Nonlinear Bayesian analysis for single case designs
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jsp.2013.12.003.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Several authors have suggested the use of multilevel models for the analysis of data from single case designs. Multilevel models are a logical approach to analyzing such data, and deal well with the possible different time points and treatment phases for different subjects. However, they are limited in several ways that are addressed by Bayesian methods. For small samples Bayesian methods fully take into account uncertainty in random effects when estimating fixed effects; the computational methods now in use can fit complex models that represent accurately the behavior being modeled; groups of parameters can be more accurately estimated with shrinkage methods; prior information can be included; and interpretation is more straightforward. The computer programs for Bayesian analysis allow many (nonstandard) nonlinear models to be fit; an example using floor and ceiling effects is discussed here. (C) 2013 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.
Keywords:
Bayesian
Multilevel
Nonlinear
Single case
Single subject
Journal
IF:
1.8
Papers:
2.2K
Citations:
950
Organization
No organization information available
Cited Papers
ShareSaveShareSaveIn situ direct observation of photocorrosion in ZnO crystals in ionic liquid using a laser-equipped high-voltage electron microscope.png)
AIP Advances
OAAI
AIP AdvancesIF0
OAAIShareSaveShareSaveHuman Rights in Areas of Limited Statehood: From the Spiral Model to Localization and Translation
PREAI
ShareSaveShareSave
View more