RESEARCH DIARIES: ENTRY 4: TYPES OF DATA

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1. Nominal Data / Nominal Scale: This type of dats is utilized to "label" a variable. In other words, it does not assign any "value" to that variable. The word "label" is critical in the sense that, here only "labeling" is done and not "quantification". For example, 1 = male, 2 = female or 1 = clerk, 2= manager, 3=engineer. So, we cannot say like 1<2 here. The dichotomous data is where only two choices are available. For example, what is your nationality 1=Indian, 2=NRI.

2. Ordinal Data / Ordinal Scale: The word "order" (say, some kind of sequence) is the heart of this type of data/scale. Here, we can say that there is an order in which, the data is sequenced. For example, gold medalist, silver medalist. But, we cannot "quantify" as to "how much" better is one over other in the sequence. For example, the gold medalist has performed better than the silver medalist. But, did the gold medalist score one mark more than the silver medalist or hundred marks more? That question cannot be answered by the ordinal data / ordinal scale. 

3. Interval Data / Interval Scale: When the "interval" (gap) between the two values is known, we can call it interval data. It is type of ordinal data / scale, but, with the addition of the fact, that we know the exact interval (gap, numerical value) between the two data sets. So, for example, the temperature reading 10 degree celsius, 20 degree celsius, 30 celsius indicate the difference between them is of "10" degree celsius. But because the interval scales do not have a true "zero"in the interval scale. So, for example, 10 degree celsius is not double the colder compared to 20 degree celsius as there is nothing like "no temperature". If you convert these to degree Fahrenheit, the answer is 10C=50F, while 20C=68F. So, to solve this problem, we have to seek the shelter of the ratio scale. So, the interval scale can also go below zero, while ratio scale would never go below zero. 

4. Ratio Data / Ratio Scale: Ratio scales take care of all the problems, that arise, with all the three above:

- Ratio data tells us about the order

- Ratio data tells us about the exact gap between two units

- Ratio data have an absolute zero

Examples are height, weight, duration. This type of data makes subtraction, addition, multiplication etc. easy. Even mean, median, mode (central tendency) can also be measured using this type of data easily. 


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