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An Alternative to Null-Hypothesis Significance Tests
Open accessAbstract
The statistic P rep estimates the probability of replicating an effect. It captures traditional publication criteria for signal-to-noise ratio, while avoiding parametric inference and the resulting Bayesian dilemma. In concert with effect size and replication intervals, P rep provides all of the information now used in evaluating research, while avoiding many of the pitfalls of traditional statistical inference.
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Metadata
- Authors
- Killeen, P. R.
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 2005-05
- Volume
- 16
- Issue
- 5
- Pages
- 345-353
- ISSN
- 0956-7976 (ISSN-L)
- 1467-9280
- OpenAlex
- W2144712959
- Cited by
- 443
- References
- 10
- FWCI
- 51.25
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
