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.

PMID: 32275351
PMCID: PMC7540394
Funding: - Campbell Collaboration: CMG2.02

Documentation

Links