Version 1
: Received: 4 July 2022 / Approved: 6 July 2022 / Online: 6 July 2022 (03:41:23 CEST)
How to cite:
Azizi, F.; Ghasemi, R.; Ardalan, M. Two Common Mistakes in Applying ANOVA Test: Guide for Biological Researchers. Preprints2022, 2022070082. https://doi.org/10.20944/preprints202207.0082.v1
Azizi, F.; Ghasemi, R.; Ardalan, M. Two Common Mistakes in Applying ANOVA Test: Guide for Biological Researchers. Preprints 2022, 2022070082. https://doi.org/10.20944/preprints202207.0082.v1
Azizi, F.; Ghasemi, R.; Ardalan, M. Two Common Mistakes in Applying ANOVA Test: Guide for Biological Researchers. Preprints2022, 2022070082. https://doi.org/10.20944/preprints202207.0082.v1
APA Style
Azizi, F., Ghasemi, R., & Ardalan, M. (2022). Two Common Mistakes in Applying ANOVA Test: Guide for Biological Researchers. Preprints. https://doi.org/10.20944/preprints202207.0082.v1
Chicago/Turabian Style
Azizi, F., Rasoul Ghasemi and Maryam Ardalan. 2022 "Two Common Mistakes in Applying ANOVA Test: Guide for Biological Researchers" Preprints. https://doi.org/10.20944/preprints202207.0082.v1
Abstract
The importance of statistics in biological research is inevitable. The appliance of statistics is the most powerful tool to support the scientific hypothesis and to give credibility to biological research methodology, to interpret convoluted explanations and conclusions based on the research findings. The evidences from literatures point the persistent statistical errors, selection of non-proper statistical test with the consequence of misinterpretation of the scientific results which are published in international journals. One of the most extensively used statistical tests in the field of biology (preclinical and clinical) is analysis of variance (ANOVA). ANOVA test is in place of multiple T-tests to compare the means of more than two groups at a time; and there are some important points which biologists should be aware of them to avoid possible misinterpretation of results with the consequence of wrong conclusion. Accordingly, the aim of the current review is to help biologists to understand the basic concepts of ANOVA test and reach to a more valid interpretation of achieved results.
Keywords
ANOVA; homogeneity of variance; Levene’s test; multiple comparison analysis; post hoc test
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
