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1. #Alternatives to datathief iii for windows 10 software#
2. #Alternatives to datathief iii for windows 10 license#

#Alternatives to datathief iii for windows 10 software#

In this study, we aimed to analyze the validity and reliability of the PlotDigitizer software program, which is widely used in literature and an alternative to other data extraction programs, on computers with different operating systems. Researchers typically use data extraction software programs to extract raw data from the graphs in articles. As a consequence, WebPlotDigitizer turned out to be the best option in terms of usability, time to retrieve the data, and costs, although the usability scores of Ungraph were also strong.Īccess to raw data of graphs presented in original articles to calculate the effect size of single-case research is a challenge for researchers conducting studies such as meta-analysis. WebPlotDigitizer was the only program free to use. DataThief was perceived as unacceptable and the time needed to retrieve the data was double that of the other three programs. Ungraph and WebPlotDigitizer received the highest usability scores.

#Alternatives to datathief iii for windows 10 license#

Differences were found in program usability in terms of user friendliness, data retrieval time, and license costs.

This study indicates that the reliability and validity of the retrieved data are independent of the specific software program, but are dependent on the individual single-case study graphs. We focused on four different software programs that can be used for this purpose (i.e., Ungraph, DataThief, WebPlotDigitizer, and XYit), and examined the reliability of numeric coding, the validity compared with real data, and overall program usability. Little is known, however, about the coding of individual data points. Previous research has examined issues of reliability and validity of data extraction programs in the past, but typically at an aggregate level. Standard practice within SCED methods is to display data graphically, which requires subsequent users to extract the data, either manually or using data extraction programs. An important aspect of this work has been the extension of meta-analytic and other statistical innovations to SCED data. Single-case experimental designs (SCEDs) have been increasingly used in recent years to inform the development and validation of effective interventions in the behavioral sciences.