Work

One by One: Accumulating Evidence by using Meta-Analytical Procedures for Single-Case Experiments

Year: 2017

Type: article

Abstract: This paper presents a unilevel and multilevel approach for the analysis and meta-analysis of single-case experiments (SCEs). We propose a definition of SCEs and derive the specific features of SCEs’ data that have to be taken into account when analysing and meta-analysing SCEs. We discuss multilevel models of increasing complexity and propose alternative and complementary techniques based on probability combining and randomisation test wrapping. The proposed techniques are demonstrated with real-life data and corresponding R code.

Source: Brain Impairment

DOI: 10.1017/brimp.2017.25

Authors: Patrick Onghena, Bart Michiels, Laleh Jamshidi, Mariola Moeyaert, Wim Van den Noortgate

Institutions: KU Leuven, State University of New York, University at Albany, State University of New York

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funders: U.S. Department of Education, Fonds Wetenschappelijk Onderzoek, Vlaamse regering, Institute of Education Sciences