Analysis of single-case experimental count data using the linear mixed effects model: A simulation study

Analysis of single-case experimental count data using the linear mixed effects model: A simulation study

When (meta-)analyzing single-case experimental design (SCED) studies by means of hierarchical or multilevel modeling, applied researchers almost exclusively rely on the linear mixed model (LMM). This type of model assumes that the residuals are normally distributed. However, very often SCED studies...

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Bibliographic Details
Main Authors: Beretvas, S.N (Author), Declercq, L. (Author), Fernández-Castilla, B. (Author), Ferron, J.M (Author), Jamshidi, L. (Author), Moeyaert, M. (Author), Van den Noortgate, W. (Author)
Format: Article
Language:English
Published: Springer 2019
Subjects:
article
behavioral research
Behavioral Research
computer simulation
Computer Simulation
experimental design
Generalized linear mixed model
human
Humans
Linear mixed model
Linear Models
Longitudinal Studies
longitudinal study
methodology
Monte Carlo method
Monte Carlo simulation
practice guideline
Research Design
scientist
Single-case experimental design
statistical model
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