Nominal and ordinal data organizations are two of the four types of measurementsin science. The difference between nominal and ordinal data lies primarily in the presentation of data. Nominal data is a set of information organized by category or name. A nominal data set is also known as a categorical data set. There is no indication of value within a nominal data set. An example of a nominal data
. set is "basketball positions," which includes "point guard," "shooting guard," "small forward," "power forward," and "center." The set describes a type of data but no specific values or roles of the datawithin. Ordinal data is information organized in a particular order, without indicating specific relationship between each item. Items may be greater than or less than other items, but an ordinal data set does not demonstrate how much greater or less. A common example of an ordinal data organization is a set of survey answers listed as "very satisfactory," "satisfactory," "neutral," "unsatisfactory," or "very unsatisfactory." Such answers do not attempt to show exactly how happy or unhappy a participant is, but ratherseek to find a general order to customer satisfaction. For more information, please see: http://changingminds.org/explanations/research/measurement/types_data.htm
