Categories, colors, names, labels and favorite foods along with yes or no responses are examples of nominal level data. Nominal-Level Data For the nominal level of measurement, observations of a qualitative variable are measured and recorded as labels or names. Classifying survey subjects as male or female is another example of nominal-level measurement. The data cannot be ordered (such as high to low). male/female) is called “dichotomous.” If you are a student, you can use that to impress your teacher. In this case, numerical value is simply a label. The median (an indication of position in a set of scores at which point 50% are higher and 50% are lower) can be used for ordinal-, interval-, and ratio-level data. Nominal measurement scales do not have any numerical value. Actually, there are four measurement scales: nominal, ordinal, interval and ratio. The mode (most frequently occurring score in the sample) is the only measure appropriate to nominal-level data. The lowest, or the most primitive, measurement is the nominal level. Nominal and ordinal are two different levels of data measurement. This scale can also be referred to as an interval variable scale (interval variable is used to describe the meaningful nature of the difference between values). Understanding the level of measurement of your variables is a vital ability when you work in the field of data. They are simply different. An example of a measurement in interval scale is the Fahrenheit scale. This level of measurement now has evenly-spaced intervals. Nominal measures are categorical, and those categories cannot be mathematically ranked. Data that is measured using a nominal scale is qualitative. A. Nominal Scale Level. The scales must be mutually exclusive (there can be no overlap between them). To put it in other words, ways of labeling data are known as “scales”. Examples of nominal data. Nominal level of measurement is the least precise and informative, because it only names the ‘characteristic’ or ‘identity’ we are interested. There is no ranking order between hair colors. The difference of 214 °F and 212 °F is … A. Which of the following is an example of a variable measured at the nominal level of measurement? Examples of Nominal Scales. At a nominal level, each response or … In other words, in nominal variables, the numerical values just "name" the attribute uniquely. The word nominal means “in name,” so this kind of data can only be labelled. A sample of college instructors classified according to subject taught (e.g., English, history, psychology, or mathematics) is an example of nominal-level measurement. There are four levels of measurement: nominal, ordinal, interval, and ratio. Nominal scale data are not ordered. Note: a sub-type of nominal scale with only two categories (e.g. Nominal level of measurement. Data consists of names, labels or categories. That is what constitutes a nominal level of measurement. Level of education B. Depression composite score C. Types of… The highest is the ratio level of measurement. These are examples of nominal level scales: Gender: Male/Female; Country of birth: Canada, Mexico, Brazil Moving up another level, the interval level of measurement builds on the attributes of both the nominal and ordinal scales. Ordinal scale level; Interval scale level; Ratio scale level . Hair color is an example of a nominal level of measurement. Nominal scale data cannot be used in calculations. Nominal data is the least precise and complex level. Location in which respondent was born B. Religiosity measured as not … The interval scale is the third level of measurement and encompasses both nominal and ordinal scales. Solution for Which of the following is an example of an nominal level of measurement? It does not have a rank order, equal spacing between values, or a true zero value. 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