Effect size calculations and single subject designs

This study compared visual analyses with five alternative methods for assessing the magnitude of effect with single subject designs. Each method was successful in detecting intervention effect. When rank ordered, each method was consistent in identifying the participants with the largest effect. We...

Full description

Saved in:
Bibliographic Details
Published inEducational psychology (Dorchester-on-Thames) Vol. 25; no. 2-3; pp. 313 - 324
Main Authors Olive, Melissa L., Smith, Benjamin W.
Format Journal Article
LanguageEnglish
Published Dorchester-on-Thames Taylor and Francis Ltd 01.04.2005
Taylor & Francis Group Journals
Taylor & Francis Ltd
Subjects
Behavior Disorders
Behavior Modification
Disabilities
Educational psychology
Effect Size
Evaluation Methods
Functional Behavioral Assessment
Intervention
Regression (Statistics)
Research Design
Single Subject Designs
Young Children
Online AccessGet full text

Cover

More Information
Summary:This study compared visual analyses with five alternative methods for assessing the magnitude of effect with single subject designs. Each method was successful in detecting intervention effect. When rank ordered, each method was consistent in identifying the participants with the largest effect. We recommend the use of the standard mean difference (SMD all ) formula and we believe the use of a regression equation for calculating effect size in single subject data should be avoided.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0144-3410
1469-5820
DOI:10.1080/0144341042000301238