Journal Title: International Journal of Humanities and Cultural Studies (IJHCS) - Year 2015, Vol 2, Issue 3
Abstract
Experimental studies have an undeniable role in the production of knowledge and are implemented to establish a cause and effect relationship between variables. But there are a range of biases that can affect the results of a study. In the meantime, even if the statistical method is being selected properly, the result may still be a bias due to confounding. Sometimes in data analysis we see that the statistical methods has not been properly selected and the substantial proportion of the incorrect use of statistical methods is related to experimental studies which are more sensitive than observational studies. In this study we have provided one of the correct methods of analyzing experimental studies with examples and relevant commentary. We also have explored the pitfalls of experimental studies’ analysis.
Authors and Affiliations
Arash Akaberi| Iranian Research Center on Healthy Aging, Sabzevar University of Medical Sciences, Sabzevar, Iran, Yaser Tabarraie| Iranian Research Center on Healthy Aging, Sabzevar University of Medical Sciences, Sabzevar, Iran, yasertabarraie@yahoo.com, Ehsan Ghasemi| University of Applied Science and Technology, Ilam, Iran, Somayeh Zamirinejad| Iranian Research Center on Healthy Aging, Sabzevar University of Medical Sciences, Sabzevar, Iran, Mohammad Shafi Mojadadi| Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
Keywords
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