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  2. Observer bias - Wikipedia

    en.wikipedia.org/wiki/Observer_bias

    An example of how observer bias can impact on research, and how blinded protocols can impact, can be seen in the trial for an anti-psychotic drug. Researchers that know which of the subjects received the placebo and those that received the trial drugs may later report that the group that received the trial drugs had a calmer disposition, due to ...

  3. Response bias - Wikipedia

    en.wikipedia.org/wiki/Response_bias

    This is one example of a type of survey that can be highly vulnerable to the effects of response bias. Response bias is a general term for a wide range of tendencies for participants to respond inaccurately or falsely to questions. These biases are prevalent in research involving participant self-report, such as structured interviews or surveys ...

  4. Observer-expectancy effect - Wikipedia

    en.wikipedia.org/wiki/Observer-expectancy_effect

    The experimenter may introduce cognitive bias into a study in several ways ‍ — ‍ in the observer-expectancy effect, the experimenter may subtly communicate their expectations for the outcome of the study to the participants, causing them to alter their behavior to conform to those expectations. Such observer bias effects are near ...

  5. List of cognitive biases - Wikipedia

    en.wikipedia.org/wiki/List_of_cognitive_biases

    A memory bias, recency bias gives "greater importance to the most recent event", [118] such as the final lawyer's closing argument a jury hears before being dismissed to deliberate. Systematic bias Judgement that arises when targets of differentiating judgement become subject to effects of regression that are not equivalent. [119]

  6. Blinded experiment - Wikipedia

    en.wikipedia.org/wiki/Blinded_experiment

    Social science research is particularly prone to observer bias, so it is important in these fields to properly blind the researchers. In some cases, while blind experiments would be useful, they are impractical or unethical. Blinded data analysis can reduce bias, but is rarely used in social science research. [39]

  7. Participation bias - Wikipedia

    en.wikipedia.org/wiki/Participation_bias

    Participation bias or non-response bias is a phenomenon in which the results of studies, polls, etc. become non-representative because the participants disproportionately possess certain traits which affect the outcome. These traits mean the sample is systematically different from the target population, potentially resulting in biased estimates.

  8. Social-desirability bias - Wikipedia

    en.wikipedia.org/wiki/Social-desirability_bias

    In social science research social-desirability bias is a type of response bias that is the tendency of survey respondents to answer questions in a manner that will be viewed favorably by others. [1] It can take the form of over-reporting "good behavior" or under-reporting "bad" or undesirable behavior.

  9. Bias (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bias_(statistics)

    In educational measurement, bias is defined as "Systematic errors in test content, test administration, and/or scoring procedures that can cause some test takers to get either lower or higher scores than their true ability would merit." [16] The source of the bias is irrelevant to the trait the test is intended to measure.