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Intercoder Reliability and Validity of WebPlotDigitizer in Extracting Graphed Data.

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  • 11 Central Michigan University, Mount Pleasant, USA.

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Summary
This summary is machine-generated.

WebPlotDigitizer offers reliable data extraction for quantitative synthesis of single-case designs (SCDs). This study confirms its high intercoder reliability and validity for interrupted time-series data, aiding psychological and educational research.

Keywords:
data extractionmeta-analysisreliabilitysingle-case designvalidity

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Area of Science:

  • Psychology
  • Education
  • Research Methodology

Background:

  • Quantitative synthesis of single-case designs (SCDs) is growing in psychology and education.
  • Numerical data is often missing, necessitating plot digitizing tools for data extraction.
  • Intercoder reliability in data extraction is a critical yet often overlooked step.

Purpose of the Study:

  • To evaluate the intercoder reliability and validity of WebPlotDigitizer.
  • To assess its utility for extracting data from various plot types, including interrupted time-series.
  • To provide recommendations for researchers conducting quantitative synthesis of SCDs.

Main Methods:

  • Two coders extracted 3,596 data points from 168 data series across 36 graphs from 18 studies.
  • WebPlotDigitizer, a web-based tool, was used for data extraction.
  • Data extraction focused on XY coordinates for interrupted time-series data.

Main Results:

  • High levels of intercoder reliability were achieved between the two coders.
  • High levels of validity were demonstrated for the data extracted using WebPlotDigitizer.
  • The tool proved effective for extracting XY coordinates from interrupted time-series data.

Conclusions:

  • WebPlotDigitizer is a reliable and valid tool for quantitative data extraction from single-case designs.
  • The findings support the use of WebPlotDigitizer in psychological and educational research requiring data synthesis from graphical displays.
  • Researchers are encouraged to consider intercoder reliability when using digital tools for data extraction.