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  2. Test score - Wikipedia

    en.wikipedia.org/wiki/Test_score

    A scaled score is the result of some transformation(s) applied to the raw score, such as in relative grading. The purpose of scaled scores is to report scores for all examinees on a consistent scale. Suppose that a test has two forms, and one is more difficult than the other. It has been determined by equating that a score of 65% on form 1 is ...

  3. Rasch model estimation - Wikipedia

    en.wikipedia.org/wiki/Rasch_model_estimation

    where = is the total raw score for person n, = is the total raw score for item i, N is the total number of persons and I is the total number of items. Solution equations are obtained by taking partial derivatives with respect to δ i {\displaystyle \delta _{i}} and β n {\displaystyle \beta _{n}} and setting the result equal to 0.

  4. Equating - Wikipedia

    en.wikipedia.org/wiki/Equating

    In item response theory, equating [2] is the process of placing scores from two or more parallel test forms onto a common score scale. The result is that scores from two different test forms can be compared directly, or treated as though they came from the same test form. When the tests are not parallel, the general process is called linking.

  5. Rasch model - Wikipedia

    en.wikipedia.org/wiki/Rasch_model

    The Rasch model, named after Georg Rasch, is a psychometric model for analyzing categorical data, such as answers to questions on a reading assessment or questionnaire responses, as a function of the trade-off between the respondent's abilities, attitudes, or personality traits, and the item difficulty.

  6. Raw data - Wikipedia

    en.wikipedia.org/wiki/Raw_data

    Raw data is a relative term (see data), because even once raw data have been "cleaned" and processed by one team of researchers, another team may consider these processed data to be "raw data" for another stage of research. Raw data can be inputted to a computer program or used in manual procedures such as analyzing statistics from a survey.

  7. 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]

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  9. Likert scale - Wikipedia

    en.wikipedia.org/wiki/Likert_scale

    For example, in the above five-point Likert item, the inference is that the 'distance' between category 1 and 2 is the same as between category 3 and 4. In terms of good research practice, an equidistant presentation by the researcher is important; otherwise a bias in the analysis may result.