Literature DB >> 28632059

Confidence crisis of results in biomechanics research.

Duane Knudson1.   

Abstract

Many biomechanics studies have small sample sizes and incorrect statistical analyses, so reporting of inaccurate inferences and inflated magnitude of effects are common in the field. This review examines these issues in biomechanics research and summarises potential solutions from research in other fields to increase the confidence in the experimental effects reported in biomechanics. Authors, reviewers and editors of biomechanics research reports are encouraged to improve sample sizes and the resulting statistical power, improve reporting transparency, improve the rigour of statistical analyses used, and increase the acceptance of replication studies to improve the validity of inferences from data in biomechanics research. The application of sports biomechanics research results would also improve if a larger percentage of unbiased effects and their uncertainty were reported in the literature.

Keywords:  Effect size; error; false positive; power; replicability

Mesh:

Year:  2017        PMID: 28632059     DOI: 10.1080/14763141.2016.1246603

Source DB:  PubMed          Journal:  Sports Biomech        ISSN: 1476-3141            Impact factor:   2.832


  7 in total

Review 1.  Match Running Performance in Young Soccer Players: A Systematic Review.

Authors:  Luiz Henrique Palucci Vieira; Christopher Carling; Fabio Augusto Barbieri; Rodrigo Aquino; Paulo Roberto Pereira Santiago
Journal:  Sports Med       Date:  2019-02       Impact factor: 11.136

2.  A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals.

Authors:  Claudiane A Fukuchi; Reginaldo K Fukuchi; Marcos Duarte
Journal:  PeerJ       Date:  2018-04-24       Impact factor: 2.984

3.  A comparison of random-field-theory and false-discovery-rate inference results in the analysis of registered one-dimensional biomechanical datasets.

Authors:  Hanaa Naouma; Todd C Pataky
Journal:  PeerJ       Date:  2019-12-10       Impact factor: 2.984

4.  Implications of sample size and acquired number of steps to investigate running biomechanics.

Authors:  Anderson Souza Oliveira; Cristina Ioana Pirscoveanu
Journal:  Sci Rep       Date:  2021-02-04       Impact factor: 4.379

5.  Reporting and transparent research practices in sports medicine and orthopaedic clinical trials: a meta-research study.

Authors:  Robert Schulz; Georg Langen; Robert Prill; Michael Cassel; Tracey L Weissgerber
Journal:  BMJ Open       Date:  2022-08-08       Impact factor: 3.006

6.  Evaluating the integration of eye-tracking and motion capture technologies: Quantifying the accuracy and precision of gaze measures.

Authors:  Rhys Hunt; Tim Blackmore; Chris Mills; Matt Dicks
Journal:  Iperception       Date:  2022-09-26

7.  Systematic Review and Meta-Analysis on Proximal-to-Distal Sequencing in Team Handball: Prospects for Talent Detection?

Authors:  Ben Serrien; Jean-Pierre Baeyens
Journal:  J Hum Kinet       Date:  2018-09-24       Impact factor: 2.193

  7 in total

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