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  2. Type III error - Wikipedia

    en.wikipedia.org/wiki/Type_III_error

    In the 2009 book Dirty rotten strategies by Ian I. Mitroff and Abraham Silvers described type III and type IV errors providing many examples of both developing good answers to the wrong questions (III) and deliberately selecting the wrong questions for intensive and skilled investigation (IV). Most of the examples have nothing to do with ...

  3. Misinformation effect - Wikipedia

    en.wikipedia.org/wiki/Misinformation_effect

    The misinformation effect occurs when a person's recall of episodic memories becomes less accurate because of post-event information. [1] The misinformation effect has been studied since the mid-1970s. Elizabeth Loftus is one of the most influential researchers in the field.

  4. Accuracy and precision - Wikipedia

    en.wikipedia.org/wiki/Accuracy_and_precision

    Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10] As such, it compares estimates of pre- and post-test probability.

  5. Wikipedia:Accuracy - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Accuracy

    For case #1, a widely accepted standard of "accurate" and "inaccurate" exists. For #2, any answer would be baseless even if not proven wrong and not considered to be accurate. For #3 the objective standard does not exist. Any answer is a value judgement and the concept of accuracy is less applicable.

  6. Quizlet - Wikipedia

    en.wikipedia.org/wiki/Quizlet

    Quizlet was founded in October 2005 by Andrew Sutherland, who at the time was a 15-year old student, [2] and released to the public in January 2007. [3] Quizlet's primary products include digital flash cards , matching games , practice electronic assessments , and live quizzes.

  7. Validity (statistics) - Wikipedia

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

    The validity of a measurement tool (for example, a test in education) is the degree to which the tool measures what it claims to measure. [3] Validity is based on the strength of a collection of different types of evidence (e.g. face validity, construct validity, etc.) described in greater detail below.

  8. Overconfidence effect - Wikipedia

    en.wikipedia.org/wiki/Overconfidence_effect

    Oskamp tested groups of clinical psychologists and psychology students on a multiple-choice task in which they drew conclusions from a case study. [37] Along with their answers, subjects gave a confidence rating in the form of a percentage likelihood of being correct. This allowed confidence to be compared against accuracy.

  9. Illusion of validity - Wikipedia

    en.wikipedia.org/wiki/Illusion_of_validity

    In a 2011 article, Kahneman recounted the story of his discovery of the illusion of validity. After completing an undergraduate psychology degree and spending a year as an infantry officer in the Israeli Army, he was assigned to the army's Psychology Branch, where he helped evaluate candidates for officer training using a test called the Leaderless Group Challenge.