Abstract
This chapter explains the variables and their types according to their nature and role. It shows the role of confounding factors and their effect on the error of cause-effect relationships and also provides the necessary criteria for a variable to be confounding. Simpson’s paradox and interaction are explained, and the role of the interaction effect is described.
Ever since men became capable of free speculation, their actions, in innumerable important respects, have depended upon their theories as to the world and human life, as to what is good and what is evil. This is true in the present day as at any former time. To understand an age or a nation, we must understand its philosophy, and to understand its philosophy we must ourselves be to some degree philosophers. There is here a reciprocal causation: the circumstances of men’s lives do much to determine their philosophy, but, conversely, their philosophy does much to determine their circumstances.
—Bertrand Arthur William Russell (1872–1970)
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Soori, H. (2024). Evaluation of the Role of Intervening Variables in Analytical Studies. In: Errors in Medical Science Investigations. Springer, Singapore. https://doi.org/10.1007/978-981-99-8521-0_6
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DOI: https://doi.org/10.1007/978-981-99-8521-0_6
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