Estimating sample size in dental research
Methodology
2025-02-28 v1
Abstract
Determination of sample size is critical, however not easy to do. Sample size defined as the number of observations in a sample should be big enough to have a high likelihood of detecting a true difference between groups. Practical procedure for determining sample size, using G*power and previous dental articles, is shown in this study. Examples involving independent t-test, paired t-test, one-way analysis of variance(ANOVA), and one-way repeated-measures(RM) ANOVA are used. The purpose of this study is to enable researchers with non-statistical backgrounds to use in practice freely available statistical software G*power to determine sample size and power.
Keywords
Cite
@article{arxiv.2502.20009,
title = {Estimating sample size in dental research},
author = {Hoi-Jeong Lim},
journal= {arXiv preprint arXiv:2502.20009},
year = {2025}
}
Comments
9 pages, 11 figures