Title |
Thou Shalt Be Reproducible! A Technology Perspective
|
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Published in |
Frontiers in Psychology, July 2016
|
DOI | 10.3389/fpsyg.2016.01079 |
Pubmed ID | |
Authors |
Patrick Mair |
Abstract |
This article elaborates on reproducibility in psychology from a technological viewpoint. Modern open source computational environments are shown and explained that foster reproducibility throughout the whole research life cycle, and to which emerging psychology researchers should be sensitized, are shown and explained. First, data archiving platforms that make datasets publicly available are presented. Second, R is advocated as the data-analytic lingua franca in psychology for achieving reproducible statistical analysis. Third, dynamic report generation environments for writing reproducible manuscripts that integrate text, data analysis, and statistical outputs such as figures and tables in a single document are described. Supplementary materials are provided in order to get the reader started with these technologies. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 7% |
Germany | 1 | 7% |
Sweden | 1 | 7% |
Netherlands | 1 | 7% |
Canada | 1 | 7% |
Australia | 1 | 7% |
Unknown | 9 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 67% |
Scientists | 5 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Venezuela, Bolivarian Republic of | 1 | 2% |
Unknown | 46 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 23% |
Student > Ph. D. Student | 8 | 17% |
Student > Master | 6 | 13% |
Other | 4 | 9% |
Student > Bachelor | 3 | 6% |
Other | 11 | 23% |
Unknown | 4 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 14 | 30% |
Medicine and Dentistry | 5 | 11% |
Computer Science | 5 | 11% |
Social Sciences | 4 | 9% |
Biochemistry, Genetics and Molecular Biology | 4 | 9% |
Other | 9 | 19% |
Unknown | 6 | 13% |