2015
DOI: 10.1080/23335432.2015.1049296
|View full text |Cite
|
Sign up to set email alerts
|

Selecting the number of trials in experimental biomechanics studies

Abstract: Experimental biomechanics studies often involve the comparison of mean values from individuals across two or more experimental conditions. The purpose of this study was to evaluate two existing methods for determining the number of trials necessary to estimate these means. The sequential estimation technique (SET) was investigated in terms of the influence of input data distribution on the outcome. Paired samples t-tests were investigated in terms of the interaction between the number of subjects and number of… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
27
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 35 publications
(28 citation statements)
references
References 22 publications
1
27
0
Order By: Relevance
“…In this prospective comparative study, eligible participants were pregnant women older than 18 years and beyond 32 weeks of gestation, followed by physiological pregnancy consultation, with a body mass index under 40, and without inflammatory joint diseases or joint hypermobility syndrome, such as Marfan’s syndrome. In biomechanical studies, the number of subjects beyond 10 has an insignificant effect on statistical power [11]. Taking into account the risk of failure of data analysis or during experimentation, we approximated that 13 pregnant women were necessary in this study.…”
Section: Methodsmentioning
confidence: 99%
“…In this prospective comparative study, eligible participants were pregnant women older than 18 years and beyond 32 weeks of gestation, followed by physiological pregnancy consultation, with a body mass index under 40, and without inflammatory joint diseases or joint hypermobility syndrome, such as Marfan’s syndrome. In biomechanical studies, the number of subjects beyond 10 has an insignificant effect on statistical power [11]. Taking into account the risk of failure of data analysis or during experimentation, we approximated that 13 pregnant women were necessary in this study.…”
Section: Methodsmentioning
confidence: 99%
“…Based on prior sample size 25 calculations, 40 athletes (20 females and 20 males) from different fields of sport participated in this study.…”
Section: Methodsmentioning
confidence: 99%
“…According to the relevant literature, this number of participants performing in multiple trials was sufficient and viable for application to this type of study, to ensure good statistical viability with regards to the parameters in question. 25 26 …”
Section: Methodsmentioning
confidence: 99%
“…In a technique exploring the bivariate plots of intra-participant data (Mullineaux 2017), it is recommended that a minimum of 10 trials are used as this leads to a sufficiently low bias between the actual area and ellipse quantified area (Jackson et al 2011). Given the complexity of assessing how many trials are required in biomechanical research, and independently of the number of subjects as applicable to this situation on intra-participant data, for typical simulation criteria a total of 9 ± 8 trials are required (mean ± 95% confidence intervals; Forrester 2015). Consequently, it is proposed there is no set minimum, although approximately nine trials might be advisable to use for this outlier detection method.…”
Section: Discussionmentioning
confidence: 99%