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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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Extraneous Variables Explained: Types & Examples
In this article, we are going to discuss extraneous variables and how they impact research.
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Lurking Variables Explained: Types & Examples
In this article, we’ll discuss what a lurking variable means, the several types available, its effects along with some real-life examples
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Controlled Experiments: Methods, Examples & Limitations
In this article, we are going to discuss controlled experiment, how important it is in a study and how it can be designed