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  2. Framework for authentic intellectual work - Wikipedia

    en.wikipedia.org/wiki/Framework_for_authentic...

    The Framework for Authentic Intellectual Work ( AIW) is an evaluative tool used by educators of all subjects at the elementary and secondary levels to assess the quality of classroom instruction, assignments, and student work. The framework was founded by Dr. Dana L. Carmichael, Dr. M. Bruce King, and Dr. Fred M. Newmann.

  3. Bias (statistics) - Wikipedia

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

    Bias (statistics) Statistical bias, in the mathematical field of statistics, is a systematic tendency in which the methods used to gather data and generate statistics present an inaccurate, skewed or biased depiction of reality. Statistical bias exists in numerous stages of the data collection and analysis process, including: the source of the ...

  4. 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.

  5. Self-serving bias - Wikipedia

    en.wikipedia.org/wiki/Self-serving_bias

    A self-serving bias is any cognitive or perceptual process that is distorted by the need to maintain and enhance self-esteem, or the tendency to perceive oneself in an overly favorable manner. [ 1] It is the belief that individuals tend to ascribe success to their own abilities and efforts, but ascribe failure to external factors. [ 2]

  6. Pre- and post-test probability - Wikipedia

    en.wikipedia.org/wiki/Pre-_and_post-test_probability

    Pre-test probability and post-test probability (alternatively spelled pretest and posttest probability) are the probabilities of the presence of a condition (such as a disease) before and after a diagnostic test, respectively. Post-test probability, in turn, can be positive or negative, depending on whether the test falls out as a positive test ...

  7. Sampling (statistics) - Wikipedia

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

    Sampling (statistics) In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. The subset is meant to reflect the whole population and statisticians ...

  8. Sampling bias - Wikipedia

    en.wikipedia.org/wiki/Sampling_bias

    Sampling bias. In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others. It results in a biased sample[ 1] of a population (or non-human factors) in which all individuals, or instances, were not equally likely to have ...

  9. Flynn effect - Wikipedia

    en.wikipedia.org/wiki/Flynn_effect

    Flynn effect. The Flynn effect is the substantial and long-sustained increase in both fluid and crystallized intelligence test scores that were measured in many parts of the world over the 20th century, named after researcher James Flynn (1934–2020). [ 1][ 2] When intelligence quotient (IQ) tests are initially standardized using a sample of ...