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, it results in sampling bias. This can occur when the sample is not randomly selected, or when certain subgroups of the population are underrepresented or overrepresented in the sample. Sampling bias can compromise the validity and generalizability of the research findings. Experimenter bias, response set, and placebo effect are other types of biases that can also impact research results, but they are not directly related to the representativeness of the sample.

When a Research Project Uses a Sample That Is Not