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Adopting Optimal Statistical Practices: Applied Researchers.

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    Summary

    This study promotes optimal statistical practices in research by encouraging transparent analyses and collaboration with quantitative experts. Disseminating resources can bridge the gap between recommended methods and their actual implementation in applied research.

    Area of Science:

    • Applied research
    • Statistical practices

    Background:

    • A gap exists between recommended statistical practices and their consistent implementation in applied research.
    • Fostering a research culture that values optimal statistical methods is crucial.

    Purpose of the Study:

    • To highlight actionable practices for applied researchers to improve statistical implementation.
    • To address the discrepancy between statistical recommendations and real-world application.

    Main Methods:

    • Encouraging increased transparency in data analysis.
    • Promoting collaboration with colleagues possessing quantitative expertise.
    • Disseminating resources that emphasize optimal statistical practices.

    Main Results:

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  • Adoption of these practices can help bridge the gap between statistical recommendations and implementation.
  • Increased transparency and collaboration are key to improving statistical rigor.
  • Effective dissemination of best practices supports wider adoption.

    • Conclusions:

    • Applied researchers can enhance statistical rigor through transparency and collaboration.
    • Disseminating resources is vital for promoting optimal statistical practices.
    • A proactive approach is needed to foster a culture of sound statistical methodology.