Introduction To improve the rigor of science, experimental evidence for scientific claims ideally needs to be replicated repeatedly with comparable analyses and new data to increase the collective confidence in the veracity of those claims. Large replication projects in psychology and cancer biology have evaluated the replicability of their fields but no collaborative effort has been undertaken in sports and exercise science. We propose to undertake such an effort here. As this is the first large replication project in this field, there is no agreed-upon protocol for selecting studies to replicate. Criticism of previous selection protocols include claims they were non-randomised and non-representative. Any selection protocol in sports and exercise science must be representative to provide an accurate estimate of replicability of the field. Our aim is to produce a protocol for selecting studies to replicate for inclusion in a large replication project in sports and exercise science. Methods The proposed selection protocol uses multiple inclusion and exclusion criteria for replication study selection, including: the year of publication and citation rankings, research disciplines, study types, the research question and key dependent variable, study methods and feasibility. Studies selected for replication will be stratified into pools based on instrumentation and expertise required, and will then be allocated to volunteer laboratories for replication. Replication outcomes will be assessed using a multiple inferential strategy and descriptive information will be reported regarding the final number of included and excluded studies, and original author responses to requests for raw data.
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Stanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USAStanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USA
Sainani, Kristin L.
Borg, David N.
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Griffith Univ, Menzies Hlth Inst Queensland, Nathan, Qld, AustraliaStanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USA
Borg, David N.
Caldwell, Aaron R.
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US Army Res Inst Environm Med, Thermal & Mt Med Div, Natick, MA USAStanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USA
Caldwell, Aaron R.
Butson, Michael L.
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Swinburne Univ Technol, Dept Hlth & Med Sci, Hawthorn, Vic, AustraliaStanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USA
Butson, Michael L.
Tenan, Matthew S.
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Optimum Performance Analyt Associates LLC, Apex, NC USAStanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USA
Tenan, Matthew S.
Vickers, Andrew J.
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Mem Sloan Kettering Canc Ctr, Dept Epidemiol & Biostat, 1275 York Ave, New York, NY 10021 USAStanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USA
Vickers, Andrew J.
Vigotsky, Andrew D.
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Northwestern Univ, Dept Biomed Engn, Evanston, IL 60208 USA
Northwestern Univ, Dept Stat, Evanston, IL 60208 USAStanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USA
Vigotsky, Andrew D.
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Warmenhoven, John
Nguyen, Robert
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Univ New South Wales, Dept Math & Stat, Sydney, NSW, AustraliaStanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USA
Nguyen, Robert
Lohse, Keith R.
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Univ Utah Hlth, Dept Phys Therapy & Athlet Training, Hlth Kinesiol & Recreat, Salt Lake City, UT USAStanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USA
Lohse, Keith R.
Knight, Emma J.
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Univ Adelaide, Sch Publ Hlth, Adelaide, SA, AustraliaStanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USA
Knight, Emma J.
Bargary, Norma
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Univ Limerick, Dept Math & Stat, Limerick, IrelandStanford Univ, Epidemiol & Populat Hlth, Stanford, CA 94305 USA
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Western Sydney Univ, Math Educ Support Hub, Sydney, NSW, AustraliaWestern Sydney Univ, Sch Sci & Hlth, Sydney, NSW, Australia
McGlynn, Susan
Stuart, Deidre
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Western Sydney Univ, Sch Sci & Hlth, Sydney, NSW, Australia
Western Sydney Univ, Math Educ Support Hub, Sydney, NSW, AustraliaWestern Sydney Univ, Sch Sci & Hlth, Sydney, NSW, Australia
Stuart, Deidre
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Fahey, Paul
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Pettigrew, Jim
Clothier, Peter
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Western Sydney Univ, Sch Sci & Hlth, Sydney, NSW, AustraliaWestern Sydney Univ, Sch Sci & Hlth, Sydney, NSW, Australia