When a research project uses a sample that is not representative of the population from which it was drawn, what effect occurs?

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When a research project uses a sample that is not representative of the population from which it was drawn, the effect is known as sampling bias. This occurs when certain groups or individuals are overrepresented or underrepresented in the sample, which can lead to inaccurate conclusions about the population as a whole. Experimenter bias, subject bias, and the placebo effect are all different types of biases that can also affect research outcomes, but they are not directly related to the representativeness of the sample.

When a Research Project Uses a Sample That Is Not