The use of multilevel analysis for integrating single-case experimental design results within a study and across studies. | Academic Article individual record
abstract

The use of multilevel models as a method for synthesising single-case experimental design results is receiving increased consideration. In this article we discuss the potential advantages and limitations of the multilevel modelling approach. We present a basic two-level model where observations are nested within cases, and then discuss extensions of the basic model to accommodate trends, moderators of the intervention effect, non-continuous outcomes, heterogeneity, autocorrelation, the nesting of cases within studies, and more complex single-case design types. We then consider methods for standardising the effect estimates and alternative approaches to estimating the models. These modelling and analysis options are followed by an illustrative example.

publication outlet

Neuropsychol Rehabil

author list (cited authors)
Baek, E. K., Moeyaert, M., Petit-Bois, M., Beretvas, S. N., Van den Noortgate, W., & Ferron, J. M
publication date
2014
publisher
keywords
  • Multilevel Analysis
  • Multilevel Modelling
  • Standardisation
  • Humans
  • Models, Statistical
  • Single-case Experimental Design
  • Statistics As Topic
  • Intervention Effect
  • Research Design
  • Effect Size
citation count

27

PubMed ID
24047454
identifier
383056SE
Digital Object Identifier (DOI)
start page
590
end page
606
volume
24
issue
3-4