An interval scale can be defined as a quantitative measurement scale where variables have an order, the difference between two variables is equal, and the presence of zero is arbitrary. It can be used to measure variables that exist along a common scale in equal intervals.
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There are four fundamental levels of quantitative measurement scales:
Nominal scales involve variables that are simply named but have no specific order or defined interval.
On the other hand, Ordinal scales do have an order, but the difference between the two variables is not defined. In Interval scales, there is order and a defined distance between variables.
The final scale, known as the Ratio scale, produces the order of variables, the difference between variables, and (unlike the Interval scale) also provides information on the value of true zero
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Interval scales are best suited in surveys where respondents must enter values regarding temperature, time, and dates. Interval scales can be easily integrated into multiple choice questions or rating scale questions by asking respondents to use a numerical scale to make a rating.
A popular example of the use of Interval scales within surveys is within NPS surveys. Net Promoter Score surveys measure the likelihood of customers recommending a company’s products or services to others. It does so by asking them to rate their likelihood to do so on a numeric scale from 0 to 10, where 0 indicates they are not likely at all, and 10 indicates they are very likely.
These are a few characteristics of an interval scale:
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Certain survey questions, such as those used in NPS and CSAT surveys, have specific methods and formulas for interpreting their results.
Interval scales may not always help generate useful data, especially if the measurement system used is highly arbitrary. However, they may be used to calculate the mean and median values of a set of aggregate data.
The more arbitrary your interval scale is, the less useful the data produced by it will be. Although a constant interval variable is necessary to interval scales, it may be difficult to keep the interval variable constant while measuring variables such as opinions and feelings. Most interval scales, even those widely used, tend to have only modest accuracy and are not fully reliable.
When appropriately used, interval scales can be used to extract useful and powerful data from survey responses as it can add mathematical significance to quantify opinion and feedback surveys.
These are a few reasons you should choose Voxco for your survey software needs:
While creating surveys with Voxco, you can use any kind of scale, whether that be nominal, ordinal, interval, or ratio.
Voxco’s powerful dashboards analyse survey responses as and when they come in. With our dashboard, Interval data can be measured and analyzed in the most efficient way.
Voxco survey software has survey templates ready for any kind of survey you may need. Our NPS, CSAT, and CES survey templates can be used to make your surveying process quick and easy as our software analyses the responses for you.
With Voxco, you can create your survey once and send it to respondents across all channels. This saves time as it eliminates the need for the reprogramming of the same questionnaire.
Consider any scenario where you’re faced with a major decision – Take, for example, a personal purchase, like buying a new TV or a new
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