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