If you use this data set please cite this R package and the following paper when accepted: Barbara Kitchenham, Lech Madeyski, David Budgen, Jacky Keung, Pearl Brereton, Stuart Charters, Shirley Gibbs, and Amnart Pohthong, 'Robust Statistical Methods for Empirical Software Engineering', Empirical Software Engineering, vol. 22, no.2, p. 579-630, 2017. DOI: 10.1007/s10664-016-9437-5 (https://dx.doi.org/10.1007/s10664-016-9437-5), URL: https://madeyski.e-informatyka.pl/download/KitchenhamMadeyskiESE.pdf
KitchenhamMadeyskiBudgen16.DiffInDiffData
A data frame with variables:
The abstract identifier
A numeric identifier of the site
A three character alphanumeric identifying the journal and time period of the abstract
The journal in which the abstract was published: IST or JSS
The time period in which the abstract: 1 or 2
The identifier for the judge who made the next 2 assessments
The average completeness made by judge J1 based on the 8 completeness questions
The clarity assessment made by judge J1
The identifier for the judge who made the next 2 assessments
The average completeness made by judge J2 based on the 8 completeness questions
The clarity assessment made by judge J2
The identifier for the judge who made the next 2 assessments
The average completeness made by judge J3 based on the 8 completeness questions
The clarity assessment made by judge J3
The identifier for the judge who made the next 2 assessments
The average completeness made by judge J4 based on the 8 completeness questions
The clarity assessment made by judge J4
The mean of J1Completeness, J2Completeness, J3Completeness, J4Completeness
The median of J1Completeness, J2Completeness, J3Completeness, J4Completeness
The median clarity of J1Clarity, J2Clarity, J3Clarity, J4Clarity
The mean clarity of J1Clarity, J2Clarity, J3Clarity, J4Clarity
The variance of J1Completeness, J2Completeness, J3Completeness, J4Completeness
The variance clarity of J1Clarity, J2Clarity, J3Clarity, J4Clarity
Data set was derived from the data reported in the SubjectData data set (subjectdata.txt). It contains the summary completeness and clarity data from 4 judges who assessed the same abstract. Only the initial 5 sites are included.
dinddata.txt
KitchenhamMadeyskiBudgen16.DiffInDiffData
Run the code above in your browser using DataLab