Literature DB >> 20808494

Consistent visual analyses of intrasubject data.

SungWoo Kahng1, Kyong-Mee Chung, Katharine Gutshall, Steven C Pitts, Joyce Kao, Kelli Girolami.   

Abstract

Visual inspection of single-case data is the primary method of interpretation of the effects of an independent variable on a dependent variable in applied behavior analysis. The purpose of the current study was to replicate and extend the results of DeProspero and Cohen (1979) by reexamining the consistency of visual analysis across raters. We recruited members of the board of editors and associate editors for the Journal of Applied Behavior Analysis to judge graphs on a 100-point scale of experimental control and by providing a dichotomous response (i.e., "yes" or "no" for experimental control). Results showed high interrater agreement across the three types of graphs, suggesting that visual inspection can lead to consistent interpretation of single-case data among well-trained raters.

Keywords:  data analysis; single-case design; visual inspection

Mesh:

Year:  2010        PMID: 20808494      PMCID: PMC2831452          DOI: 10.1901/jaba.2010.43-35

Source DB:  PubMed          Journal:  J Appl Behav Anal        ISSN: 0021-8855


  13 in total

Review 1.  Applying statistical process control to clinical data: an illustration.

Authors:  A Pfadt; I L Cohen; V Sudhalter; R G Romanczyk; D J Wheeler
Journal:  J Appl Behav Anal       Date:  1992

2.  Visual aids and structured criteria for improving visual inspection and interpretation of single-case designs.

Authors:  Wayne W Fisher; Michael E Kelley; Joanna E Lomas
Journal:  J Appl Behav Anal       Date:  2003

3.  Visual inspection of data revisited: Do the eyes still have it?

Authors:  G S Fisch
Journal:  Behav Anal       Date:  1998

4.  Statistical inference for individual organism research: mixed blessing or curse?

Authors:  J Michael
Journal:  J Appl Behav Anal       Date:  1974

5.  Inconsistent visual analyses of intrasubject data.

Authors:  A Deprospero; S Cohen
Journal:  J Appl Behav Anal       Date:  1979

6.  Some current dimensions of applied behavior analysis.

Authors:  D M Baer; M M Wolf; T R Risley
Journal:  J Appl Behav Anal       Date:  1968

7.  Progressing toward data intimacy: a review of within-session data analysis.

Authors:  Tara A Fahmie; Gregory P Hanley
Journal:  J Appl Behav Anal       Date:  2008

8.  Visual inspection of single-subject data: an empirical analysis.

Authors:  K J Ottenbacher
Journal:  Ment Retard       Date:  1990-10

9.  Comparison of visual inspection and statistical analysis of single-subject data in rehabilitation research.

Authors:  C D Bobrovitz; K J Ottenbacher
Journal:  Am J Phys Med Rehabil       Date:  1998 Mar-Apr       Impact factor: 2.159

10.  A critical discussion of intraclass correlation coefficients.

Authors:  R Müller; P Büttner
Journal:  Stat Med       Date:  1994 Dec 15-30       Impact factor: 2.373

View more
  9 in total

1.  Optimizing behavioral health interventions with single-case designs: from development to dissemination.

Authors:  Jesse Dallery; Bethany R Raiff
Journal:  Transl Behav Med       Date:  2014-09       Impact factor: 3.046

2.  Data-based decision making: the impact of data variability, training, and context.

Authors:  Nicholas R Vanselow; Rachel Thompson; Allen Karsina
Journal:  J Appl Behav Anal       Date:  2011

3.  Predictive validity and efficiency of ongoing visual-inspection criteria for interpreting functional analyses.

Authors:  Valdeep Saini; Wayne W Fisher; Billie J Retzlaff
Journal:  J Appl Behav Anal       Date:  2018-03-12

Review 4.  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

5.  Implementing Automated Nonparametric Statistical Analysis on Functional Analysis Data: A Guide for Practitioners and Researchers.

Authors:  Michael P Kranak; Scott S Hall
Journal:  Perspect Behav Sci       Date:  2021-05-24

6.  TummyTrials: A Feasibility Study of Using Self-Experimentation to Detect Individualized Food Triggers.

Authors:  Ravi Karkar; Jessica Schroeder; Daniel A Epstein; Laura R Pina; Jeffrey Scofield; James Fogarty; Julie A Kientz; Sean A Munson; Roger Vilardaga; Jasmine Zia
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2017-05-02

7.  A framework for self-experimentation in personalized health.

Authors:  Ravi Karkar; Jasmine Zia; Roger Vilardaga; Sonali R Mishra; James Fogarty; Sean A Munson; Julie A Kientz
Journal:  J Am Med Inform Assoc       Date:  2015-12-07       Impact factor: 4.497

8.  Using ultrasound visual feedback to remediate velar fronting in preschool children: A pilot study.

Authors:  Qiwen Heng; Patricia McCabe; Jillian Clarke; Jonathan L Preston
Journal:  Clin Linguist Phon       Date:  2016-01-25       Impact factor: 1.346

9.  Agreement between visual inspection and objective analysis methods: A replication and extension.

Authors:  Tessa Taylor; Marc J Lanovaz
Journal:  J Appl Behav Anal       Date:  2022-04-27
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.