Computational Ecology and Software, 2020, 10(4): 217-237
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How to calculate statistical power for vegetation research

Mohammad Mousaei Sanjerehei
Department of Plant Protection, Yazd Branch, Islamic Azad University, Yazd, Iran

Received 3 June 2020;Accepted 10 July 2020;Published 1 December 2020

Calculation of statistical power is important for proper interpretation of research results. Statistical Power depends on the selected significance level, sample size and effect size. Selection of an appropriate formula for calculating power of a test is dependent on the study design, type and statistical distribution of data and the statistical test. In this paper, several formulas are presented with examples for calculating power for one sample mean test and one sample proportion test, comparing between two independent groups and two paired groups, correlation analysis, simple and multiple linear regression, simple and multiple logistic regression, contingency tables and analysis of variance (ANOVA).

Keywords effect size;statistical power;sample size;significance level;vegetation.

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