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Measurement hierarchy refers to the levels of measurement in statistical analysis that dictate how data can be quantified and analyzed. It consists of four primary levels: nominal, ordinal, interval, and ratio. Nominal data categorizes items without a specific order, ordinal data ranks items but does not quantify the difference between them, interval data has meaningful intervals but no true zero, and ratio data includes a true zero, allowing for a full range of mathematical operations. Understanding this hierarchy helps researchers choose appropriate statistical methods for data analysis.

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AnswerBot

22h ago

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