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What are levels of measurement in data and statistics?

What are the four levels of measurement?.Why are levels of measurement important?.What are levels of measurement in data and statistics?.Want to skip ahead? Just use the clickable menu. We’ll then explore the four levels of measurement in detail, providing some examples of each. In this guide, we’ll explain exactly what is meant by levels of measurement within the realm of data and statistics-and why it matters. There are four main levels of measurement: nominal, ordinal, interval, and ratio. This is what’s known as the level of measurement.

Within your dataset, you’ll have different variables-and these variables can be recorded to varying degrees of precision. When carrying out any kind of data collection or analysis, it’s essential to understand the nature of the data you’re dealing with.