Overview
Experimenter bias is a significant concern in research, as it can lead to skewed results and affect the credibility of findings. It occurs when a researcher's expectations or preferences inadvertently influence the outcome of an experiment. Understanding and controlling for this bias is essential fo...
Key Terms
Example: Confirmation bias occurs when researchers favor information that confirms their preconceptions.
Example: In a double-blind trial, both the doctor and the patient are unaware of the treatment being administered.
Example: Randomization helps ensure that each participant has an equal chance of being assigned to any group.
Example: The control group in a drug trial receives a placebo instead of the actual medication.
Example: Participants may perform better if they believe they are receiving a new, effective treatment.
Example: A valid test measures what it claims to measure.