BackLevels of Measurement definitions
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1/15BackSkip to main contentBackNominal Level
Categories, names, or labels without inherent order; only qualitative data, no meaningful calculations possible. Ordinal Level
Ordered data where ranking is clear, but differences between values are inconsistent or not meaningful. Interval Level
Quantitative data with meaningful differences; lacks a true zero, making ratios and multiplication/division meaningless. Ratio Level
Quantitative data with a true zero; allows meaningful differences, ratios, and arithmetic operations like multiplication and division. Qualitative Data
Non-numeric information classified by categories or labels, often used in nominal and some ordinal datasets. Quantitative Data
Numeric information suitable for calculations; found in interval and ratio levels, and sometimes ordinal datasets. True Zero
A starting point indicating absence of the measured attribute, essential for ratio level measurements. Category
A distinct group or label used to classify qualitative data, especially in nominal datasets. Order
A sequence or ranking among data points, characteristic of ordinal, interval, and ratio levels. Difference
A meaningful subtraction between values, valid in interval and ratio levels but not in nominal or ordinal. Ratio
A comparison of two quantities by division, meaningful only when a true zero exists in the dataset. Arithmetic Operation
Mathematical processes such as addition, subtraction, multiplication, and division, applicable in ratio level data. Ranking
Arrangement of data points in a sequence based on value or preference, central to ordinal level measurement. Descriptive Statistics
Methods for summarizing and analyzing data, with techniques chosen based on the level of measurement. Measure of Central Tendency
Statistical values like mean, median, or mode, whose calculation depends on the data's level of measurement.
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