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Omitted Variable Bias: Examples, Implications & Mitigation
Omitted variable bias occurs when your linear regression model is not correctly specified. This may be because you don’t know the confounding variables. Confounding variables influences the cause and effect that the researchers are trying to assess in a study. So, if the researcher cannot include these confounding variables in the statistical model, it can…
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Internal Validity in Research: Definition, Threats, Examples
In this article, we will discuss the concept of internal validity, some clear examples, its importance, and how to test it.
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Simpson’s Paradox & How to Avoid it in Experimental Research
In this article, we are going to look at Simpson’s Paradox from its historical point and later, we’ll consider its effect in experimental research and how it can be avoided.