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Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables. [1] Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or scales, of measurement: nominal , ordinal , interval , and ratio .
For example, a scaling technique might involve estimating individuals' levels of extraversion, or the perceived quality of products. Certain methods of scaling permit estimation of magnitudes on a continuum, while other methods provide only for relative ordering of the entities. The level of measurement is the type of data that is measured.
Clomedia.com Editor suggests "it is best to look at the levels as a categorization scheme (i.e., their original purpose) in order to guide your staff in what levels to apply to the evaluation task". [2] In practice, then, it is common for trainers to get stuck in Levels 1 and 2 and never proceed to Levels 3 and 4, where the most useful data exist.
(see Level of measurement) [11] He is the author of the operational theory of measurement, which “...in the broadest sense, is defined as the assignment of numerals to objects or events according to rules.” [12] In fact, the definition paraphrased Campbell's note from the Final Report of the so-called Ferguson's committee (joint committee ...
The concept of data type is similar to the concept of level of measurement, but more specific. For example, count data requires a different distribution (e.g. a Poisson distribution or binomial distribution) than non-negative real-valued data require, but both fall under the same level of measurement (a ratio scale).
The process will determine the measurement value and uncertainty of the device that is being calibrated (the comparator) and create a traceability link to the measurement standard. [34] The four primary reasons for calibrations are to provide traceability, to ensure that the instrument (or standard) is consistent with other measurements, to ...
A rating scale is a set of categories designed to obtain information about a quantitative or a qualitative attribute. In the social sciences, particularly psychology, common examples are the Likert response scale and 0-10 rating scales, where a person selects the number that reflecting the perceived quality of a product.
The following conditions need to be fulfilled in the establishment of repeatability: [2] [4] the same experimental tools; the same observer; the same measuring instrument, used under the same conditions; the same location; repetition over a short period of time. same objectives; Repeatability methods were developed by Bland and Altman (1986). [5]