erical method of description. Connotations include accuracy and precision. Therefore, quantitative research can be defined as studies in which the phenomena of interest are assessed using some form of numerical measurement with a given level of accuracy and precision.
It needs to be pointed out here that there is variance among numerical measurement types, a fact that has implications for quantitative research because this variance is associated with the precision of collected information. Specifically, quantitative measurement grows increasingly more accurate and precise as the quantitative scale being used by the researcher shifts from that of a nominal scale to an ordinal scale to an equal-interval scale, to a ratio scale. Further, it can be realized that the more accurate and precise the information collected, the more information that is collected.
Understanding of this point is enhanced through a brief definition of each of these types of scales:
(1) The nominal scale is the lowest level of quantification in which
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