Essentially, this combining of theoretical with empirical, permits as well as justifies the use of measurement, and stringent observance of these rules, allows for better and more accurate methods for describing behaviors or in making predictions.
These take on their specific meanings through the following and now widely used scales of measurement, namely, nominal ordinal, interval, and ratio. Classifications, which by using a system of numbers, find common consent among scientists. Here then, consensus must come over how these numbers represent different agreed-to values, in order to sensibly group, sort, or differentiate between data. These numbers are ordered: that is, 'one number is greater than, less than, or equal to another number'.i Differences connecting numbers create what is called distance between them, allowing for a scale of measurement, for example, by agreement that zero stands as the origin number, we might simply assign numbers to the above quotation. Thus, it is possible to state clearly and unambiguously that the number value one is less than the number value two, and the number value three is more than the number value two.
One factor of abstract models, is their use in designing and performing studies that measure real-world variables