P‐Hacking, P‐Curves, and the PSM–Performance Relationship: Is There Evidential Value?
Recent developments in the social sciences have demonstrated that we cannot uncritically aggregate the published research on a particular effect to conclude about its presence or absence. Instead, questionable research practices such as p-hacking (conducting additional analyses or collecting new data to obtain significant results) and selective publication of significant results can produce a body of published research that misleads readers even if it contains many significant results. It is, therefore, necessary to assess the evidential value of the research on a certain effect; that is, one must rule out that it is the result of questionable research practices. We introduce the p-curve method to public administration research and apply it to the research on the relationship between public service motivation (PSM) and individual performance, to demonstrate how the evidential value of a body of published research can be assessed. We find that this particular literature contains evidential value.
Year of publication: |
2021
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Authors: | Vogel, Dominik ; Homberg, Fabian |
Published in: |
Public Administration Review. - Hoboken, USA : Wiley Subscription Services, Inc., ISSN 1540-6210. - Vol. 81.2021, 2, p. 191-204
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Publisher: |
Hoboken, USA : Wiley Subscription Services, Inc. |
Saved in:
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