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  2. NASA-TLX - Wikipedia

    en.wikipedia.org/wiki/NASA-TLX

    The number of times each is chosen is the weighted score. [6] This is multiplied by the scale score for each dimension and then divided by 15 to get a workload score from 0 to 100, the overall task load index. Many researchers eliminate these pairwise comparisons, though, and refer to the test as "Raw TLX" then. [7]

  3. Weighted sum model - Wikipedia

    en.wikipedia.org/wiki/Weighted_Sum_Model

    In decision theory, the weighted sum model (WSM), [1] [2] also called weighted linear combination (WLC) [3] or simple additive weighting (SAW), [4] is the best known and simplest multi-criteria decision analysis (MCDA) / multi-criteria decision making method for evaluating a number of alternatives in terms of a number of decision criteria.

  4. Scoring rule - Wikipedia

    en.wikipedia.org/wiki/Scoring_rule

    The quadratic scoring rule is a strictly proper scoring rule (,) = = =where is the probability assigned to the correct answer and is the number of classes.. The Brier score, originally proposed by Glenn W. Brier in 1950, [4] can be obtained by an affine transform from the quadratic scoring rule.

  5. Weighted Airman Promotion System - Wikipedia

    en.wikipedia.org/wiki/Weighted_Airman_Promotion...

    The Weighted Airman Promotion System (WAPS) is a United States Air Force program that determines promotions to the ranks of Staff Sergeant through Technical Sergeant (E-6). It provides feedback score sheets to enlisted members considered for promotion, which help members to focus on specific professional development needs.

  6. Inverse probability weighting - Wikipedia

    en.wikipedia.org/wiki/Inverse_probability_weighting

    One very early weighted estimator is the Horvitz–Thompson estimator of the mean. [3] When the sampling probability is known, from which the sampling population is drawn from the target population, then the inverse of this probability is used to weight the observations. This approach has been generalized to many aspects of statistics under ...

  7. Weighted arithmetic mean - Wikipedia

    en.wikipedia.org/wiki/Weighted_arithmetic_mean

    The weighted mean in this case is: ¯ = ¯ (=), (where the order of the matrix–vector product is not commutative), in terms of the covariance of the weighted mean: ¯ = (=), For example, consider the weighted mean of the point [1 0] with high variance in the second component and [0 1] with high variance in the first component.

  8. Reduced chi-squared statistic - Wikipedia

    en.wikipedia.org/wiki/Reduced_chi-squared_statistic

    The unbiased weighted estimator of the sample variance can be computed as follows: = = (=) = = (¯). Again, the corresponding standard deviation is the square root of the variance.

  9. Rubric (academic) - Wikipedia

    en.wikipedia.org/wiki/Rubric_(academic)

    A scoring rubric typically includes dimensions or "criteria" on which performance is rated, definitions and examples illustrating measured attributes, and a rating scale for each dimension. Joan Herman, Aschbacher, and Winters identify these elements in scoring rubrics: [3] - Traits or dimensions serving as the basis for judging the student ...

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