Size matters
Open access
Date
2023Type
- Journal Article
ETH Bibliography
yes
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Abstract
In this paper we review the academic transportation literature published between 2014 and 2018 to evaluate where the field stands regarding the use and misuse of statistical significance in empirical analysis, with a focus on discrete choice models. Our results show that 39% of studies explained model results exclusively based on the sign of the coefficient, 67% of studies did not distinguish statistical significance from economic, policy or scientific significance in their conclusions, and none of the reviewed studies considered the statistical power of the tests. Based on these results we put forth a set of recommendations aimed at shifting the focus away from statistical significance towards proper and comprehensive assessment of effect magnitudes and other policy relevant quantities. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000636311Publication status
publishedExternal links
Journal / series
TransportationPublisher
SpringerSubject
Discrete choice models; Effect size; Statistical significance; Statistical power; Policy implications; Practice implicationsOrganisational unit
03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus)
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Related publications and datasets
Is new version of: https://doi.org/10.3929/ethz-b-000568401
Is Documented by: http://hdl.handle.net/20.500.11850/573797
Notes
Supported by Japan Society for the Promotion of Science KAKENHI Grant Number 20H02266More
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ETH Bibliography
yes
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