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- May 23, 2018

Running Head: Concepts and Measurement Insert His/her Measurement is a process of measuring a quantity by comparing it to a standard unit. One of the fundamental ideas related to measurement is the levels of measurement. The levels of measurement can be defined as relationship between the values or figures which are assigned to different aspects of a variable. The levels of measurement can be classified as: (1) Nominal (2) Ordinal (3) Interval (4) Ratio.

In nominal measurement the values assigned to the attributes just act as the name of the attribute. They do not show any comparison between the attributes of a variable. For example: the roll numbers assigned to different students can be considered as measurements at nominal level. The student assigned with 30th number is similar to the student assigned with 1st number. There is no comparison or ordering between the students having different roll numbers.

In ordinal measurement the numerical values can be ranked or ordered. But in this level we can not interpret the distance between two values. For example, if we carry out a survey to analyze the education rate in an area we can assigned the value “0” to no education, 1= higher secondary, 2= graduate, 3= post graduate etc. In this situation the higher numbers reflect more education and lower numbers mean less education. And here, unlike nominal measurement, different values can be compared.

In interval measurement we can interpret the distance between the values assigned to different variables. For example, while measuring temperature in Celsius the distance between 30C and 40C is equal to that of 60C and 70C. In this level we can calculate an average of two figures. But in interval measurement the ratio between two values is meaningless and does not make any sense.

Ratio measurement is the most efficient scale of measurement. It has the attributes of all three levels of measurement and in addition to that it has an additional characteristic that here the value zero indicates the absence of the data that is being measured. The amount of money carried by a person is an example of ratio measurement. As money can have zero value. And zero money implies that there is an absence of money. So it can be said that the person having 50 dollars has twice as money as the person having 25 dollars. The ratio between 100 dollars and 50 dollars will be the same as well.

The levels of measurement are very important as they allow you to evaluate and interpret a variable appropriately. If you know that the level of measurement is nominal then you are well aware that the values assigned to different attributes are just shorter names for the longer ones. These levels also indicate that what type of statistical analysis is proper for different variables. (William, 2006)

References

William, M. K. (2006, Oct. 20). Levels of Measurement. Retrieved from http://www.socialresearchmethods.net/kb/measlevl.php

In nominal measurement the values assigned to the attributes just act as the name of the attribute. They do not show any comparison between the attributes of a variable. For example: the roll numbers assigned to different students can be considered as measurements at nominal level. The student assigned with 30th number is similar to the student assigned with 1st number. There is no comparison or ordering between the students having different roll numbers.

In ordinal measurement the numerical values can be ranked or ordered. But in this level we can not interpret the distance between two values. For example, if we carry out a survey to analyze the education rate in an area we can assigned the value “0” to no education, 1= higher secondary, 2= graduate, 3= post graduate etc. In this situation the higher numbers reflect more education and lower numbers mean less education. And here, unlike nominal measurement, different values can be compared.

In interval measurement we can interpret the distance between the values assigned to different variables. For example, while measuring temperature in Celsius the distance between 30C and 40C is equal to that of 60C and 70C. In this level we can calculate an average of two figures. But in interval measurement the ratio between two values is meaningless and does not make any sense.

Ratio measurement is the most efficient scale of measurement. It has the attributes of all three levels of measurement and in addition to that it has an additional characteristic that here the value zero indicates the absence of the data that is being measured. The amount of money carried by a person is an example of ratio measurement. As money can have zero value. And zero money implies that there is an absence of money. So it can be said that the person having 50 dollars has twice as money as the person having 25 dollars. The ratio between 100 dollars and 50 dollars will be the same as well.

The levels of measurement are very important as they allow you to evaluate and interpret a variable appropriately. If you know that the level of measurement is nominal then you are well aware that the values assigned to different attributes are just shorter names for the longer ones. These levels also indicate that what type of statistical analysis is proper for different variables. (William, 2006)

References

William, M. K. (2006, Oct. 20). Levels of Measurement. Retrieved from http://www.socialresearchmethods.net/kb/measlevl.php