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Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design

Sovacool, Benjamin K., Axsen, Jonn, Sorrell, Steve·2018·Energy Research & Social Science
DOI 10.1016/j.erss.2018.07.007
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Fig. 2 A scale of rigorous methods for literature reviews. Source: Authors, modified from [226,227].
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Fig. 3 A scale of rigorous methods for data analysis and statistics. Source: Authors, synthesized from [251-253].
Fig. 3 A scale of rigorous methods for data analysis and statistics. Source: Authors, synthesized from [251-253].CC-BY · From the PDF

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Metadata

Authors
Sovacool, B. K., Axsen, J., & Sorrell, S.
ORCID
Venue
Energy Research & Social Science
Publisher
Elsevier BV
Published
2018-11
Volume
45
Pages
12-42
ISSN
2214-6296
DOI
10.1016/j.erss.2018.07.007
Cited by
1,092
References
25
Language
en
Licence
Funders
  • Research Councils United Kingdom (EP/K011790/1)
  • Danish Council for Independent Research (4182-00033B)
  • European Union’s Horizon (730403)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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