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Researchers must adopt new statistical practices for trustworthy and complete scientific literature. Shifting from null-hypothesis significance testing (NHST) to estimation methods enhances research integrity and cumulative knowledge building.

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Area of Science:

  • Research methodology
  • Scientific integrity
  • Statistical practices

Background:

  • Growing concerns regarding the completeness and trustworthiness of published research literature.
  • Recognition of significant limitations and flaws associated with null-hypothesis significance testing (NHST).

Purpose of the Study:

  • To advocate for substantial changes in research conduct to improve scientific integrity.
  • To promote the adoption of the 'new statistics'—estimation, confidence intervals, and meta-analysis—over NHST.
  • To provide guidance on implementing an eight-step strategy for research with integrity.

Main Methods:

  • Prespecification of studies, avoidance of data-analytic biases, complete reporting, and encouraging replication.
  • Transitioning from null-hypothesis significance testing (NHST) to estimation techniques, including effect sizes and confidence intervals.
  • Utilizing meta-analysis for synthesizing research findings.

Main Results:

  • The proposed changes aim to enhance the reliability and completeness of the research literature.
  • Adopting the 'new statistics' can lead to more robust and cumulative scientific understanding.
  • An eight-step strategy is outlined to guide researchers in implementing these changes.

Conclusions:

  • Substantial changes in research practices are necessary to ensure integrity and trustworthiness.
  • The 'new statistics' offer a superior framework for quantitative research compared to traditional NHST.
  • Implementing these evidence-based statistical practices will foster a more cumulative and reliable scientific discipline.