Sampling procedures and calculation for sample size determination: Criteria and methods adopted in theses and dissertations in human movement sciences - A descriptive study

Rochelle Rocha Costa, Othávio Porto Backes, Pedro Figueiredo, Flávio Antônio de Souza Castro

Research output: Contribution to journalReview articlepeer-review

Abstract

Quantitative monographic studies systematically use inferential statistical procedures to test hypotheses. For this purpose, sampling procedures and sample sizes need to be adequate for the proposed procedures. The aim of this study was to identify the sample selection methods, as well as the performance and types of calculation to determine the sample size adopted in theses and dissertations developed in a graduate program in the field of Physical Education. Theses and dissertations defended between 2003 and 2013 were obtained through digital repository. Only quantitative studies were included, in which the following issues were analyzed: (1) sample selection criteria; (2) presence of sample calculation; (3) calculation type to estimate sample size. A total of 199 studies were included. Of these, 6% (n=11) used probabilistic methods for sample selection and 3% (n=6) used animal models. As for the accomplishment of sample calculations, 36% (n=72) studies reported having adopted this procedure. Of studies that performed sample calculations, 25% (n=18) used predictive equations, 67% (n=48) considered methods with statistical power as their base, 3% (n=2) used confidence interval, 4% (n=3) did not mention the method and 1% (n=1) was based on the type of statistical test to be used later. Non-probabilistic sampling methods predominate for the selection of subjects; most studies do not report adopting calculations to estimate sample size and, among those that reported the use, the models that consider statistical power as the main criterion are predominant.

Original languageEnglish
Pages (from-to)480-490
Number of pages11
JournalRevista Brasileira de Cineantropometria e Desempenho Humano
Volume20
Issue number5
DOIs
Publication statusPublished - 2018
Externally publishedYes

Keywords

  • Sample size
  • Selection bias
  • Statistical analysis

ASJC Scopus subject areas

  • Physiology
  • Physiology (medical)

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