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  2. Coverage error - Wikipedia

    en.wikipedia.org/wiki/Coverage_error

    Because not all voters are Twitter users, and because not all Twitter users are voters, there will be a misalignment between the target population and the sampling frame that could lead to biased survey results because the demographics and opinions of Twitter using voters might not be representative of the target population of voters. [4]

  3. Erotic target location error - Wikipedia

    en.wikipedia.org/wiki/Erotic_target_location_error

    When one's sexual arousal is based on imagining oneself in another physical form (such as an animal, an infant, or an amputee) the erotic target is said to be one's self, or erotic target identity inversion (ETII).

  4. Level of analysis - Wikipedia

    en.wikipedia.org/wiki/Level_of_analysis

    The smallest unit of analysis in the social sciences is an individual in their social setting. At the micro level, also referred to as the local level, the research population typically is an individual in their social setting or a small group of individuals in a particular social context.

  5. Circular error probable - Wikipedia

    en.wikipedia.org/wiki/Circular_error_probable

    CEP is not a good measure of accuracy when this distribution behavior is not met. Munitions may also have larger standard deviation of range errors than the standard deviation of azimuth (deflection) errors, resulting in an elliptical confidence region. Munition samples may not be exactly on target, that is, the mean vector will not be (0,0).

  6. Selection bias - Wikipedia

    en.wikipedia.org/wiki/Selection_bias

    Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that proper randomization is not achieved, thereby failing to ensure that the sample obtained is representative of the population intended to be analyzed. [1] It is sometimes referred to as the selection effect.

  7. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    A type II error, or a false negative, is the erroneous failure in bringing about appropriate rejection of a false null hypothesis. [1] Type I errors can be thought of as errors of commission, in which the status quo is erroneously rejected in favour of new, misleading information. Type II errors can be thought of as errors of omission, in which ...

  8. Ultimate attribution error - Wikipedia

    en.wikipedia.org/wiki/Ultimate_attribution_error

    The "exceptional case" explanation is created at the intersection of low controllability of act and internal locus of control. Using this mode of reasoning, an individual excludes the particular outgroup member from the outgroup.

  9. Sociology of scientific knowledge - Wikipedia

    en.wikipedia.org/wiki/Sociology_of_Scientific...

    The sociology of scientific knowledge (SSK) is the study of science as a social activity, especially dealing with "the social conditions and effects of science, and with the social structures and processes of scientific activity." [1] The sociology of scientific ignorance (SSI) is complementary to the sociology of scientific knowledge.