Datasetgreen2017

De-biasing experiment for software professionals: data (DeBias2017)

Martin Shepperd · Magne Jørgensen · Carolyn Mair

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Decision-Making and Behavioral Economics Software Engineering Techniques and Practices Names, Identity, and Discrimination Research

Abstract

CSV data from a series of experiments with a total of 410 participants. Case: Participant IDAnchor: High or low depending on the randomly allocated treatmentWorkshop: Y or N depending on the use of a de-biasing interventionCompany: The employing company of the software developer - anonymisedBlock: Specific id of the experiment, e.g., there are multiple deliveries for some companies either at different times or locations.Country: The country where the software development company is locatedEstProd: Estimated coding productivity in LOC per hour for the last completed software project. This is the response variable.NewStudy: Y or N indicating whether the study was part of a second series that included the de-biasing treatment.

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