# interval scale

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## interval scale

[′in·tər·vəl ‚skāl]
(statistics)
A rule or system for assigning numbers to objects in such a way that the difference between any two objects is reflected in the difference in the numbers assigned to them; used in interval measurement.
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We still use [A.sub.B] = ([a.sub.B1], [a.sub.B2], ..., [a.sub.Bn]) and [A.sub.W] = ([a.sub.1W], [a.sub.2W], ..., [a.sub.nW]) to denote the best-to-others and others-to-worst vectors, while each element in the two vectors is expressed by interval scale as in Table 2.
In addition, this research would provide information on those constructs where assuming an interval scale for the Likert scale is innocuous, deadly, or somewhere in between.
fits this model), the observed raw ordinal score gained through summing the scores from all the items can be transformed into interval scale measurement (Andrich 1988).
Given the Rasch model allows an adaptation to interval scaling, a nomogram giving the exchange rate between the raw score and latent interval scale estimate would have been useful.
This evaluation technique was selected because the ordinal attitudinal scale must be first converted to an interval scale. This step can best be understood by noting that a step in attitude from "excellent" to "very good" does not necessarily represent the same quantifiable change in attitude as steps from "very good" to "good" (i.e.
A statistical procedure proposed by IRT to analyse an interval scale data is graded response model (GRM), a branch of IRT.
If you and your supplier decide to use an interval scale, another issue to consider is whether to have an odd or even scale.
The numbers can also represent an ordinal scale (1 = never, 2 = rarely, 3 = sometimes, 4 = often, 5 = always) or an interval scale (what percent of the students were in attendance on a certain date).
An assumption is made that satisfaction is theoretically measurable using an interval scale but, due to inadequate measurement techniques, there is only an ordinal measure.
In particular, he must have viewed IQ measurement as forming an interval scale because the scientists involved rescale the counts of questions answered so that IQ is normally distributed.
There are times, however, when the researcher needs subjective information that has the properties of interval data in order to perform parametric statistical analyses or to relate the subjective information to objective information that was measured on an interval scale.
Assign points to each interval scale. Divide the points for each factor, calculated in Step 1, and round the resultant to the nearest whole number.

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