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Fostering Transparency and Reproducibility in Psychological Science
by
Lindsay, D. Stephen
in
Accuracy
/ Estimates
/ Experimental Replication
/ Experimentation
/ Experiments
/ Human
/ Humans
/ Hypotheses
/ Methodology
/ Psychological research
/ Psychological theories
/ Psychologists
/ Psychology
/ Psychology - standards
/ Reproducibility
/ Reproducibility of Results
/ Research Design - standards
/ Science
/ Statistical Power
/ Statistics
/ Transparency
/ Usefulness
2025
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Fostering Transparency and Reproducibility in Psychological Science
by
Lindsay, D. Stephen
in
Accuracy
/ Estimates
/ Experimental Replication
/ Experimentation
/ Experiments
/ Human
/ Humans
/ Hypotheses
/ Methodology
/ Psychological research
/ Psychological theories
/ Psychologists
/ Psychology
/ Psychology - standards
/ Reproducibility
/ Reproducibility of Results
/ Research Design - standards
/ Science
/ Statistical Power
/ Statistics
/ Transparency
/ Usefulness
2025
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Do you wish to request the book?
Fostering Transparency and Reproducibility in Psychological Science
by
Lindsay, D. Stephen
in
Accuracy
/ Estimates
/ Experimental Replication
/ Experimentation
/ Experiments
/ Human
/ Humans
/ Hypotheses
/ Methodology
/ Psychological research
/ Psychological theories
/ Psychologists
/ Psychology
/ Psychology - standards
/ Reproducibility
/ Reproducibility of Results
/ Research Design - standards
/ Science
/ Statistical Power
/ Statistics
/ Transparency
/ Usefulness
2025
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Fostering Transparency and Reproducibility in Psychological Science
Journal Article
Fostering Transparency and Reproducibility in Psychological Science
2025
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Overview
Psychological science is hard. This short article focuses on two issues. One has to do with the importance of understanding statistical power and how post hoc data explorations and selective reporting can lead to exaggerated estimates of the size of effects and the strength of relationships (which in turn contribute to replication failures). The other topic is tools research psychologists can use to improve the reproducibility of their procedures and analyses. The article closes with a comment on the deeper challenge of improving the usefulness and testability of theories in psychology.
La science de la psychologie est une discipline exigeante. Ce court article se concentre sur deux enjeux. Le premier concerne l'importance de comprendre la puissance statistique et la façon dont les explorations post hoc des données et les rapports sélectifs peuvent entraîner des surestimations de la taille des effets et de la force des relations (contribuant ainsi aux échecs de réplication). Le second porte sur les outils que les psychologues peuvent utiliser pour améliorer la reproductibilité de leurs procédures et analyses. La conclusion de l'article aborde le défi complexe lié à l'amélioration de la pertinence et de la validité des théories psychologiques.
Public Significance Statement
Psychologists (and other life scientists) often use statistical analyses of data collected from samples of participants to make inferences about causal and correlational relationships in populations. This article aimed to improve understanding of constraints on the uses of inferential statistical tests and to encourage psychological scientists to strive to make their statistical analyses appropriate, transparent and reproducible. The article closes with a brief comment on the importance of theory development in psychological science.
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