Interpreting magnitude of change in strength and conditioning: effect size selection, threshold values and Bayesian updating. [Dataset]

Abstract

This is the supplementary data for the journal article: SWINTON, P.A., BURGESS, K., HALL, A., GREIG, L., PSYLLAS, J., ASPE, R., MAUGHAN, P. and MURPHY, A. 2022. Interpreting magnitude of change in strength and conditioning: effect size selection, threshold values and Bayesian updating. Journal of sports sciences [online], 40(18), pages 2047-2054. Available from: https://doi.org/10.1080/02640414.2022.2128548

Citation

SWINTON, P.A., BURGESS, K., HALL, A., GREIG, L., PSYLLAS, J., ASPE, R., MAUGHAN, P. and MURPHY, A. 2022. Interpreting magnitude of change in strength and conditioning: effect size selection, threshold values and Bayesian updating. [Dataset]. Journal of sports sciences [online], 40(18), pages 2047-2054. Available from: https://doi.org/10.1080/02640414.2022.2128548

• Acceptance Date: Sep 21, 2022
• Online Publication Date: Oct 2, 2022
• Publication Date: Dec 31, 2022
• Deposit Date: Sep 23, 2022
• Publicly Available Date: Sep 23, 2022
• DOI: https://doi.org/10.1080/02640414.2022.2128548
• Keywords: Strength and conditioning; Athletic performance; Muscular strength training
• Public URL: https://rgu-repository.worktribe.com/output/1760402
• Related Public URLs: https://rgu-repository.worktribe.com/output/1760388 (Journal Article)
• Type of Data: XLSX and DOCX files
• Collection Date: Sep 21, 2022
• Collection Method: This study conducted a series of meta-analyses and compiled results to identify thresholds specific to strength and conditioning training (S&C), and create prior distributions for Bayesian updating. Pre- and post-training data from S&C interventions were translated into standardised mean difference (SMDpre) and percentage improvement (%Improve) effect sizes. Four-level Bayesian hierarchical meta-analysis models were conducted to compare effect sizes, develop prior distributions, and estimate 0.25-, 0.5-, and 0.75-quantiles to determine small, medium, and large thresholds respectively. Data from 643 studies comprising 6574 effect sizes were included in the analyses. Large differences in distributions for both SMDpre and %Improve were identified across outcome domains (strength, power, jump and sprint performance), with analyses of the tails of the distributions indicating potential large overestimations of SMDpre values.