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What is False Positive Psychology about?

This study investigates the false positive risk in psychological science, estimating it at 15% overall and 20% for focal tests, with evidence of selection bias in published results. The analysis, using the Z-curve method, indicates that while there have been improvements in sample sizes and statistical power since 2015, modest statistical power remains a concern. The findings highlight the importance of larger replication samples to mitigate false negatives and ensure credible results in psychological resea

Author

costa.psy

Language

EN