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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.

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