Intercoder Reliability and Validity of WebPlotDigitizer in Extracting Graphed Data

Quantitative synthesis of data from single-case designs (SCDs) is becoming increasingly common in psychology and education journals. Because researchers do not ordinarily report numerical data in addition to graphical displays, reliance on plot digitizing tools is often a necessary component of this...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Behavior modification Jg. 41; H. 2; S. 323 - 339
Hauptverfasser: Drevon, Daniel, Fursa, Sophie R., Malcolm, Allura L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Los Angeles, CA SAGE Publications 01.03.2017
SAGE PUBLICATIONS, INC
Schlagworte:
Automatic Data Processing
Behavioral Research - methods
Digitization
Humans
Meta-analysis
Reproducibility of Results
Researchers
Resistance (Psychology)
Validity
meta-analysis
single-case design
data extraction
validity
reliability
ISSN:0145-4455, 1552-4167, 1552-4167
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Quantitative synthesis of data from single-case designs (SCDs) is becoming increasingly common in psychology and education journals. Because researchers do not ordinarily report numerical data in addition to graphical displays, reliance on plot digitizing tools is often a necessary component of this research. Intercoder reliability of data extraction is a commonly overlooked, but potentially important, step of this process. The purpose of this study was to examine the intercoder reliability and validity of WebPlotDigitizer (Rohatgi, 2015), a web-based plot digitizing tool for extracting data from a variety of plots, including XY coordinates of interrupted time-series data. Two coders extracted 3,596 data points from 168 data series in 36 graphs across 18 studies. Results indicated high levels of intercoder reliability and validity. Implications of and recommendations based on these results are discussed in relation to researchers involved in quantitative synthesis of data from SCDs.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0145-4455
1552-4167
1552-4167
DOI:10.1177/0145445516673998