Cited by 11Meta-analysis and systematic reviewsPsychology Research and BibliometricsSport Psychology and Performance

Difference-based meta-analytic procedures for between-participant and/or within-participant designs: A tutorial review for sports and exercise scientists

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Ashford, Derek, Davids, Keith, Bennett, Simon J.·2009·Journal of Sports Sciences

Abstract

The aim of this paper is to provide a contemporary summary of statistical and non-statistical meta-analytic procedures that have relevance to the type of experimental designs often used by sport scientists when examining differences/change in dependent measure(s) as a result of one or more independent manipulation(s). Using worked examples from studies on observational learning in the motor behaviour literature, we adopt a random effects model and give a detailed explanation of the statistical procedures for the three types of raw score difference-based analyses applicable to between-participant, within-participant, and mixed-participant designs. Major merits and concerns associated with these quantitative procedures are identified and agreed methods are reported for minimizing biased outcomes, such as those for dealing with multiple dependent measures from single studies, design variation across studies, different metrics (i.e., raw scores and difference scores), and variations in sample size. To complement the worked examples, we summarize the general considerations required when conducting and reporting a meta-analysis, including how to deal with publication bias, what information to present regarding the primary studies, and approaches for dealing with outliers. By bringing together these statistical and non-statistical meta-analytic procedures, we provide the tools required to clarify understanding of key concepts and principles.

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  • Sixteen articles (17%) provided recommendations on the key item "protocol development", with publication dates between 1994 and 2015 (median year 2009).

    “Sixteen articles (17%) provided recommendations on the key item “protocol development” (Table 3), [29–44] with publication dates between 1994 and 2015 (median year of publication 2009).”
  • The articles recommended that the protocol should state the objectives, hypotheses to be tested and the rationale of the review, describe eligibility criteria, define the type of studies to be included, and give the reason when including observational studies in the review.

    “The articles recommended that the protocol should state the objectives, hypotheses to be tested and the rationale of the review, [29] and that it should describe eligibility criteria [29, 33, 35, 36, 38, 39, 41], define the type of studies to be included [35, 37, 42, 44], and give the reason when including observational studies in the review [35, 37, 40].”
  • Twenty articles (22%) gave recommendations on the key item "research question", with publication dates between 1997 and 2015 (median year 2009).

    “Twenty articles (22%) gave recommendations on the key item “research question” [29, 30, 35, 36, 38–43, 45–54], with publication dates between 1997 and 2015 (median year of publication 2009).”
  • Thirty-three articles (35%) made recommendations about the key item "search strategy", with publication dates between 1995 and 2016 (median year 2007).

    “Thirty-three articles (35%) made recommendations about the key item “search strategy” [12, 29, 30, 33–36, 38, 39, 43, 46–51, 53–69], with publication dates between 1995 and 2016 (median year of publication 2007).”
  • The majority of articles discussed aspects general to systematic reviews including advantages and limitations of different literature sources and databases, search tools, the importance of identifying unpublished studies, literature searching techniques including how to build a search string and reporting.

    “The majority of articles discussed aspects general to systematic reviews including advantages and limitations of different literature sources and databases, search tools, the importance of identifying unpublished studies, literature searching techniques including how to build a search string and reporting [12, 29, 33–36, 46, 48, 50, 51, 53, 54, 57, 59–62, 67, 68].”

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Authors
Ashford, D., Davids, K., & Bennett, S. J.
Affiliations
  • Manchester Metropolitan University (GB)
  • Queensland University of Technology (AU)
  • Liverpool John Moores University (GB)
Corresponding author
Ashford, Derek
Venue
Journal of Sports Sciences
Published
2009-02
Volume
27
Issue
3
Pages
237-255
ISSN
  • 0264-0414 (ISSN-L)
  • 1466-447X
OpenAlex
W1519673859
Cited by
11
References
39
Citations by year
2024: 1 · 2019: 2 · 2018: 2 · 2017: 2 · 2016: 1 · 2015: 1 · 2013: 1
FWCI
0.41
Type
journal article
Language
en
Open access
Locations
  • Journal of Sports Sciences (publishedVersion)
  • PubMed (publishedVersion)
  • SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) (acceptedVersion)
  • QUT ePrints (Queensland University of Technology) (submittedVersion)
  • Faculty of Health; Institute of Health and Biomedical Innovation
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
Keywords
within-participant design, random effects models, observational learning, motor behavior, design variation, publication bias, outliers
MeSH terms
Humans, Meta-Analysis as Topic, Exercise, Biomedical Research, Athletic Performance

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