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Knowing the level of measurement associated with a variable is essential because it determines the appropriate statistical and analytical techniques that can be applied to that variable.
00:10
Different levels of measurement have different characteristics and properties, and using the wrong analytical method can lead to incorrect and misleading conclusions.
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Understanding the level of measurement helps researchers choose the most suitable data analysis techniques, interpret results accurately, and draw meaningful insights from the data.
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There are four levels of measurement.
00:31
Nominal, ordinal, interval, and ratio.
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Let's use the example of a survey about customer satisfaction to illustrate the importance of knowing the level of measurement.
00:41
Let's say a company conducts a customer satisfaction survey and asks customers to rate their experience with a company on the following scales.
00:53
Very satisfied, satisfied, neutral, dissatisfied, or very dissatisfied.
00:58
On the nominal level, if the survey only collects data on the customer's preferred communication channels, this variable is at the nominal level.
01:06
In this case, communication channels are categorical and do not have any inherent order.
01:10
We can use descriptive statistics like frequencies and percentages to summarize the data, but can't calculate meaningful averages or perform mathematical operations on the categories.
01:20
Ordinal level of measurement...