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  Ten steps toward a better personality science - How quality may be rewarded more in research evaluation

Leising, D., Thielmann, I., Glöckner, A., Gärtner, A., & Schönbrodt, F. (2022). Ten steps toward a better personality science - How quality may be rewarded more in research evaluation. Personality Science, (3): e6029. doi:10.5964/ps.v3i.

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6029-Article-71789-4-10-20220506.pdf (Any fulltext), 439KB
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This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License, CC BY 4.0, which permits unrestricted use, distribution, and reproduction, provided the original work is properly cited.
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Leising, Daniel, Author
Thielmann, Isabel1, 2, Author              
Glöckner, Andreas, Author
Gärtner, Anne, Author
Schönbrodt, Felix, Author
Affiliations:
1Criminology, Max Planck Institute for the Study of Crime, Security and Law, Max Planck Society, ou_2489695              
2Independent Research Group: Personality, Identity, and Crime, Max Planck Institute for the Study of Crime, Security and Law, Max Planck Society, ou_3365073              

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 Abstract: This target article is part of a theme bundle including open peer commentaries (https://doi.org/10.5964/ps.9227) and a rejoinder by the authors (https://doi.org/10.5964/ps.7961). We point out ten steps that we think will go a long way in improving personality science. The first five steps focus on fostering consensus regarding (1) research goals, (2) terminology, (3) measurement practices, (4) data handling, and (5) the current state of theory and evidence. The other five steps focus on improving the credibility of empirical research, through (6) formal modelling, (7) mandatory pre-registration for confirmatory claims, (8) replication as a routine practice, (9) planning for informative studies (e.g., in terms of statistical power), and (10) making data, analysis scripts, and materials openly available. The current, quantity-based incentive structure in academia clearly stands in the way of implementing many of these practices, resulting in a research literature with sometimes questionable utility and/or integrity. As a solution, we propose a more quality-based reward scheme that explicitly weights published research by its Good Science merits. Scientists need to be increasingly rewarded for doing good work, not just lots of work.

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Language(s): eng - English
 Dates: 2022-05-06
 Publication Status: Published online
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 Identifiers: DOI: 10.5964/ps.v3i
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Title: Personality Science
Source Genre: Journal
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Pages: - Volume / Issue: (3) Sequence Number: e6029 Start / End Page: - Identifier: -