Evidence map›Paper›PMID 20808494›Full record

ArticleJournal of applied behavior analysis2010

Consistent visual analyses of intrasubject data.

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

Abstract read
In one paragraph

Article in Journal of applied behavior analysis, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. TummyTrials: A Feasibility Study of Using Self-Experimentation to Detect Individualized Food Triggers.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2017
    Article
  11. A framework for self-experimentation in personalized health.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

SungWoo KahngKennedy Krieger Institute and The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA. Kahng@kennedykrieger.org
Kyong-Mee Chung
Katharine Gutshall
Steven C Pitts
Joyce Kao
Kelli Girolami

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Pattern Recognition, VisualBehavioral ResearchHumansObserver VariationStatistics as Topicdata analysissingle-case designvisual inspection

Identifiers

PMID20808494
PMCPMC2831452

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.