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  2. Performance paradox - Wikipedia

    en.wikipedia.org/wiki/Performance_Paradox

    In order to understand the performance paradox, it is helpful to first have a basic understanding of performance appraisals. Performance appraisals, also known as performance evaluations, are assessments that many organizations use to measure individuals' productivity, ability and talent in their respective job positions. [2]

  3. Null hypothesis - Wikipedia

    en.wikipedia.org/wiki/Null_hypothesis

    In scientific research, the null hypothesis (often denoted H 0) [1] is the claim that the effect being studied does not exist. [note 1] The null hypothesis can also be described as the hypothesis in which no relationship exists between two sets of data or variables being analyzed. If the null hypothesis is true, any experimentally observed ...

  4. Behaviorally anchored rating scales - Wikipedia

    en.wikipedia.org/wiki/Behaviorally_anchored...

    Behaviorally anchored rating scales (BARS) are scales used to rate performance.BARS are normally presented vertically with scale points ranging from five to nine. It is an appraisal method that aims to combine the benefits of narratives, critical incidents, and quantified ratings by anchoring a quantified scale with specific narrative examples of good, moderate, and poor performance.

  5. Missing data - Wikipedia

    en.wikipedia.org/wiki/Missing_data

    Data often are missing in research in economics, sociology, and political science because governments or private entities choose not to, or fail to, report critical statistics, [1] or because the information is not available. Sometimes missing values are caused by the researcher—for example, when data collection is done improperly or mistakes ...

  6. Verification and validation - Wikipedia

    en.wikipedia.org/wiki/Verification_and_validation

    Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.

  7. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    For an approximately normal data set, the values within one standard deviation of the mean account for about 68% of the set; while within two standard deviations account for about 95%; and within three standard deviations account for about 99.7%. Shown percentages are rounded theoretical probabilities intended only to approximate the empirical ...

  8. Reliability (statistics) - Wikipedia

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

    Reliability does not imply validity. That is, a reliable measure that is measuring something consistently is not necessarily measuring what is supposed to be measured. For example, while there are many reliable tests of specific abilities, not all of them would be valid for predicting, say, job performance.

  9. Latent and observable variables - Wikipedia

    en.wikipedia.org/wiki/Latent_and_observable...

    In this situation, the term hidden variables is commonly used (reflecting the fact that the variables are meaningful, but not observable). Other latent variables correspond to abstract concepts, like categories, behavioral or mental states, or data structures. The terms hypothetical variables or hypothetical constructs may be used in these ...