Joseph P. Simmons from the University of Pennsylvania presents data from computer simulations and two actual experiments demonstrating how flexibility in data collection and analysis increases false-positive rates in psychology. The dataset likely contains results from these simulations and experiments, though specific column details are unavailable. The work proposes a disclosure-based solution involving six requirements for authors and four guidelines for reviewers.
Use Cases
- Simulating false-positive rates in statistical analysis based on the described computer simulations.
- Analyzing the impact of analytical flexibility on research outcomes based on the described pair of experiments.
- Developing or testing methodological disclosure protocols based on the proposed solution framework.
Strengths
- Includes data from two actual experiments described in the source article.
- Includes data from computer simulations described in the source article.
- Authored by a researcher from the University of Pennsylvania.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Joseph P. Simmons, University of Pennsylvania
- Collection Method
- Data likely generated from computer simulations and two described experiments.
- Time Range
- null
- Freshness
- Last updated is unknown.
- Geography
- null