MultiSCED: A tool for (meta-)analyzing single-case experimental data with multilevel modeling.
Behav Res Methods
; 52(1): 177-192, 2020 02.
Article
em En
| MEDLINE
| ID: mdl-30972557
ABSTRACT
The MultiSCED web application has been developed to assist applied researchers in behavioral sciences to apply multilevel modeling to quantitatively summarize single-case experimental design (SCED) studies through a user-friendly point-and-click interface embedded within R. In this paper, we offer a brief introduction to the application, explaining how to define and estimate the relevant multilevel models and how to interpret the results numerically and graphically. The use of the application is illustrated through a re-analysis of an existing meta-analytic dataset. By guiding applied researchers through MultiSCED, we aim to make use of the multilevel modeling technique for combining SCED data across cases and across studies more comprehensible and accessible.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Análise Multinível
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Behav Res Methods
Assunto da revista:
CIENCIAS DO COMPORTAMENTO
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Bélgica