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Observer bias is especially probable when the investigator or researcher has vested interests in the outcome of the research or has strong preconceptions. Coupled with ambiguous underlying data and a subjective scoring method, these three factors contribute heavily to the incidence of observer bias.
Good blinding can reduce or eliminate experimental biases that arise from a participants' expectations, observer's effect on the participants, observer bias, confirmation bias, and other sources. A blind can be imposed on any participant of an experiment, including subjects, researchers, technicians, data analysts, and evaluators.
All types of bias mentioned above have corresponding measures which can be taken to reduce or eliminate their impacts. Bias should be accounted for at every step of the data collection process, beginning with clearly defined research parameters and consideration of the team who will be conducting the research. [ 2 ]
The observer-expectancy effect [a] is a form of reactivity in which a researcher's cognitive bias causes them to subconsciously influence the participants of an experiment. Confirmation bias can lead to the experimenter interpreting results incorrectly because of the tendency to look for information that conforms to their hypothesis, and ...
To minimize bias, pooling of results from similar but separate studies requires an exhaustive search for all relevant studies. That is, a meta-analysis (or pooling of data from multiple studies) must always have emerged from a systematic review (not a selective review of the literature), even though a systematic review does not always have an ...
Observer-expectancy effect, a form of reactivity in which a researcher's cognitive bias causes them to unconsciously influence the participants of an experiment; Observer bias, a detection bias in research studies resulting for example from an observer's cognitive biases
Minimize interpersonal contact between the researcher and the participant: Reduces experimenter expectancy effect. Use a between-subjects design rather than a within-subjects design : The central tendency of a social group can affect ratings of its intragroup variability in the absence of social identity concerns.
Without the use of allocation concealment, researchers may (consciously or unconsciously) place subjects expected to have good outcomes in the treatment group, and those expected to have poor outcomes in the control group. This introduces considerable bias in favor of treatment.