In this video I explain the concept of internal validity and how it acts as a checklist for considering whether an independent variable has been effectively manipulated, a dependent variable has been measured without bias, and a clear pattern can be found in the data. I also mention the importance of avoiding simple yes/no answers and remembering that all of these features are open to scrutiny, criticism, and debate. Finally, I underscore the importance of limiting conclusions to the data that has actually been collected.

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