Educational Resources for Improving Research Quality in Sports Science

Overview

This page curates high-quality, open, and practical resources for sports scientists who want to improve the credibility, transparency, and usefulness of their research.

Resources are grouped by theme and can be used as a reference library. To suggest more material, please contact us.

Research Quality Essentials

Foundational resources for understanding why research quality, replication, and meta-science matter.

Resources

• Improving Your Statistical Inferences – Daniel Lakens Open Text https://lakens.github.io/statistical_inferences/

• Improving Your Statistical Inferences (Coursera) – Daniel Lakens
  https://www.coursera.org/learn/statistical-inferences

• FORRT – Framework for Open and Reproducible Research Training
  https://forrt.org/resources/

Sample Size, Power, and Precision

Tools and explanations for planning informative studies and avoiding underpowered research.

Resources

• Sample Size Justification – Daniel Lakens
  https://psyarxiv.com/9d3yf/

• R Psychologist – Power and Sampling Visualisations
  https://rpsychologist.com/d3/nhst/

• A R package to aid with statistical power calculations https://aaroncaldwell.us/Superpower/

Statistics You Can Actually Interpret

Visual and conceptual explanations of core statistical ideas beyond p-values.

Resources

• R Psychologist – Interactive Statistical Visualisations
  https://rpsychologist.com/viz

• Understanding Confidence Intervals – Daniel Lakens
  https://lakens.github.io/statistical_inferences/07-CI.html

• ASA Statement on p-values
  https://www.amstat.org/asa/files/pdfs/P-ValueStatement.pdf

Preregistration & Registered Reports

Resources for pre-registrations and Registered Reports.

Resources

• Open Science Framework – Preregistration
  https://help.osf.io/article/330-welcome-to-registrations#Start-a-registration--e9Sy7

• AsPredicted
  https://aspredicted.org

• Registered Reports Explained – COS
  https://www.cos.io/initiatives/registered-reports

Bias, QRPs, and Researcher Degrees of Freedom

Understanding how bias arises even in well-intentioned research.

Resources

• Simmons et al. (2011). False-Positive Psychology
  https://journals.sagepub.com/doi/10.1177/0956797611417632

• Gelman & Loken – The Garden of Forking Paths
  http://www.stat.columbia.edu/~gelman/research/unpublished/p_hacking.pdf

Transparent Reporting & Open Materials

Guidelines and tools for making research reusable and trustworthy.

Resources

• CONSORT Reporting Guidelines
  https://www.consort-statement.org

• STROBE Reporting Guidelines
  https://www.strobe-statement.org

• EQUATOR Network
  https://www.equator-network.org

• Open Science Framework – Data and Materials Sharing
  https://help.osf.io

Teaching Research Quality in Sports Science

Resources for lecturers, supervisors, and educators.

Resources

• FORRT Teaching Hub
  https://forrt.org/teaching/

• OSF – Open & Reproducible Methods Syllabi
  https://osf.io/vkhbt/

• R Psychologist – Teaching Visuals
  https://rpsychologist.com

• Topic Intro Page (Visual Learning Hub)
  https://norf-tropic.my.canva.site/tr-op-ic