statcheck
statcheck detects inconsistencies in null-hypothesis significance testing (NHST) reporting by extracting reported test statistics and degrees of freedom and recomputing p-values to compare with author-reported values.
Key Features:
- Automated extraction: Automatically extracts NHST results, including reported test statistics and degrees of freedom, from scientific articles.
- Recomputation of p-values: Recalculates p-values from the extracted test statistics and degrees of freedom.
- Discrepancy detection: Compares recalculated p-values with author-reported p-values to identify reporting inconsistencies.
- Automated screening: Applies the extraction, recomputation, and comparison steps in an automated manner for efficient processing of large volumes of literature.
Scientific Applications:
- Meta-analysis screening: Identifies statistical inconsistencies in primary studies to inform inclusion and data correction in meta-analyses.
- Reproducibility assessment: Detects reporting errors that affect the evidential value and reproducibility of published findings.
- Reporting quality evaluation: Supports assessment of the accuracy of NHST reporting across scientific literature.
Methodology:
Extract reported test statistics and degrees of freedom from articles; recalculate p-values from those values; compare recalculated p-values with author-reported p-values; perform these steps automatically to enable efficient screening of large numbers of studies.
Topics
Details
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 2/24/2021
Operations
Publications
Nuijten MB, Polanin JR. “<i>statcheck</i>”: Automatically detect statistical reporting inconsistencies to increase reproducibility of<scp>meta‐analyses</scp>. Research Synthesis Methods. 2020;11(5):574-579. doi:10.1002/jrsm.1408. PMID:32275351. PMCID:PMC7540394.