Health Professions
7 years ago

Small sample sizes insufficient for accurate data in non-experimental studies.

Epidemiology Biostatistics and Public Health
Determination of Minimum Sample Size Requirement for Multiple Linear Regression and Analysis of Covariance Based on Experimental and Non-experimental Studies
Mohamad Adam Bujang, Nadiah Sa’at, Tg Mohd Ikhwan Tg Abu Bakar Sidik

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The study determined the minimum sample sizes needed for MLR and ANCOVA in both experimental and non-experimental studies. By using real clinical data, it was found that a sample size of 300 or more is necessary to get accurate estimates in non-experimental surveys. Small sample sizes can work for MLR and ANCOVA when using r-squared as the effect size, but larger samples are needed for accurate results in clinical surveys.