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Experimenter bias occurs when researcher expectations influence study outcomes, leading to invalid results. Single-blind studies can help mitigate this bias.
Experimenter bias occurs when a researcher's expectations influence the outcomes of a study by treating participants in different experimental conditions differently, leading to an invalid confirmation of the research hypothesis. This bias can skew results and affect the interpretation of data without the researcher being aware of it.
An example of experimenter bias is demonstrated in a study where students were told that rats were either highly intelligent or unintelligent, influencing their expectations and leading to differences in the rats' maze learning performance based on the students' beliefs.
One way to mitigate experimenter bias is through single-blind studies, where participants are unaware of which group they are in, helping to reduce the impact of researcher expectations on the study outcomes.
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