Literature DB >> 23883189

Visual analysis in single case experimental design studies: brief review and guidelines.

Justin D Lane1, David L Gast.   

Abstract

Visual analysis of graphic displays of data is a cornerstone of studies using a single case experimental design (SCED). Data are graphed for each participant during a study with trend, level, and stability of data assessed within and between conditions. Reliable interpretations of effects of an intervention are dependent on researchers' understanding and use of systematic procedures. The purpose of this paper is to provide readers with a rationale for visual analysis of data when using a SCED, a step-by-step guide for conducting a visual analysis of graphed data, as well as to highlight considerations for persons interested in using visual analysis to evaluate an intervention, especially the importance of collecting reliability data for dependent measures and fidelity of implementation of study procedures.

Entities:  

Keywords:  Single case experimental design; Visual analysis

Mesh:

Year:  2013        PMID: 23883189     DOI: 10.1080/09602011.2013.815636

Source DB:  PubMed          Journal:  Neuropsychol Rehabil        ISSN: 0960-2011            Impact factor:   2.868


  38 in total

1.  An Overview of Scientific Reproducibility: Consideration of Relevant Issues for Behavior Science/Analysis.

Authors:  Sean Laraway; Susan Snycerski; Sean Pradhan; Bradley E Huitema
Journal:  Perspect Behav Sci       Date:  2019-03-22

2.  Challenges in the use of treatment to investigate cognition.

Authors:  Lyndsey Nickels; Brenda Rapp; Saskia Kohnen
Journal:  Cogn Neuropsychol       Date:  2015       Impact factor: 2.468

Review 3.  Informal versus formal judgment of statistical models: The case of normality assumptions.

Authors:  Anthony J Bishara; Jiexiang Li; Christian Conley
Journal:  Psychon Bull Rev       Date:  2021-03-03

4.  A single case design to examine short-term intracranial EEG patterns during focused meditation.

Authors:  Dana Dharmakaya Colgan; Tab Memmott; Dan Klee; Lia Ernst; Seunggu J Han; Barry Oken
Journal:  Neurosci Lett       Date:  2019-08-17       Impact factor: 3.046

5.  Statistical analysis in Small-N Designs: using linear mixed-effects modeling for evaluating intervention effectiveness.

Authors:  Robert W Wiley; Brenda Rapp
Journal:  Aphasiology       Date:  2018-03-21       Impact factor: 2.773

6.  Quantitative Techniques and Graphical Representations for Interpreting Results from Alternating Treatment Design.

Authors:  Rumen Manolov; René Tanious; Patrick Onghena
Journal:  Perspect Behav Sci       Date:  2021-05-13

7.  A Priori Justification for Effect Measures in Single-Case Experimental Designs.

Authors:  Rumen Manolov; Mariola Moeyaert; Joelle E Fingerhut
Journal:  Perspect Behav Sci       Date:  2021-03-25

8.  Function-Based Behavioral Interventions for Sleep Problems in Children and Adolescents with Autism: Summary of 41 Clinical Cases.

Authors:  Laurie McLay; Karyn France; Neville Blampied; Jenna van Deurs; Jolene Hunter; Jacqui Knight; Brent Hastie; Amarie Carnett; Emma Woodford; Rosina Gibbs; Russell Lang
Journal:  J Autism Dev Disord       Date:  2021-02

9.  Cognitive remediation-enabled cognitive behaviour therapy for obesity: a case series.

Authors:  Mary Gilbert; Jayanthi Raman; Zhixian Sui
Journal:  Eat Weight Disord       Date:  2019-12-03       Impact factor: 4.652

10.  Analyzing Two-Phase Single-Case Data with Non-overlap and Mean Difference Indices: Illustration, Software Tools, and Alternatives.

Authors:  Rumen Manolov; José L Losada; Salvador Chacón-Moscoso; Susana Sanduvete-Chaves
Journal:  Front Psychol       Date:  2016-01-21
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