Augmenting Visual Analysis in Single-Case Research With Hierarchical Linear Modeling

The purpose of this article is to demonstrate how hierarchical linear modeling (HLM) can be used to enhance visual analysis of single-case research (SCR) designs. First, the authors demonstrated the use of growth modeling via HLM to augment visual analysis of a sophisticated single-case study. Data...

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Bibliographic Details
Published in:Behavior modification 2013-01, Vol.37 (1), p.62-89
Main Authors: Davis, Dawn H., Gagné, Phill, Fredrick, Laura D., Alberto, Paul A., Waugh, Rebecca E., Haardörfer, Regine
Format: Article
Language:English
Subjects:
Behavior modification
Biological and medical sciences
Case Studies
Data Analysis
Data Interpretation, Statistical
Education of Intellectually Disabled
Education, Special - methods
Evidence
Evidence-Based Practice
Hierarchical Linear Modeling
Humans
Intellectual Disability - rehabilitation
Intervention
Learning disabilities
Linear Models
Literacy
Medical sciences
Methodology. Experimentation
Moderate Mental Retardation
Predictor Variables
Psychology. Psychoanalysis. Psychiatry
Psychopathology. Psychiatry
Receptive Language
Research Design
Sight Vocabulary
Statistical Significance
Students
Techniques and methods
Visualization
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