Quantitative Quantitative Yakov Permyakov A quantitative property can be measured in a way that doesn't depend on the observer or the mechanism used to take the measure, and this measure can be expressed with a number and units of measure; properties which aren't quantitative are called Qualitative. Examples of quantitative properties include:

the number of grains of sand on a beach, unit: grains.
the width of a hair, unit: millimeters, and
the time for a hammer to fall a certain distance, unit: seconds

An observation isn't necessarily quantitative just because it has been recorded using numbers. In sports, judges routinely measure qualitative properties, like the beauty of an excercise using numbers (1-10). Any measurement can be made using numbers; a researcher recording names, for instance, could assign the number 1 to mean "Susan", 2 to mean "Michael", and so on. This, however, is not a meaningful use of numbers: the researcher can arbitrarily reassign the numbers (so that 1 means "Michael" and 2 means "Susan") without losing any information. Put another way, facts about numbers (for example, that 2 is greater than 1, that 5 is two more than 3, and that 8 is twice 4) don't mean anything about the names corresponding to those numbers. Because of this, a person's name is not a quantitative property.

On the other hand, suppose a researcher is counting the grains of sand on a beach. The researcher could assign the number 7 to mean "41 grains of sand" and the number 4 to mean "78 grains of sand", but this loses information: even though 7 is greater than 4, 41 grains are still fewer than 78 grains. Put another way, the researcher can assign numbers to observations so that facts about those numbers will correspond to facts about the observed property. Therefore, the number of grains of sand on a beach is a quantitative property.

Statisticians typically don't use the terms "quantitative" and "qualitative", and have instead developed more sophisticated categories of scale.

A nominal scale allows distinction between different points of data, but not necessarily anything else; names are an example of a nominal scale. Nominal scales are always qualitative.
An ordinal scale has an inherent system of ordering; the ratings "bad", "mediocre", and "good" are organized on an ordinal scale. Some ordinal scales are quantitative.
A constant distance on an interval scale means the same thing everywhere on the scale. An extra 5 kilograms is an extra 5 kilograms, whether it's on top of 7 kilograms or 207 - but an extra point on the logarithmic Richter scale is a much larger difference for an 8.0 than for a 2.0. All interval scales are quantitative.
A ratio on a ratio scale means the same thing everywhere on the scale. 2 meters is twice as far as 1 meter, but 40 degrees Celsius is not twice as hot as 20 degrees Celsius (since 0 degrees Celsius is not Absolute zero). All ratio scales are quantitative.

Use in debate

SATs are often accused of attempting to put a quantitative measure (the SAT score) to something that is fundamentally qualitative (education and human intelligence).

Particularly in political debate, it can be an effective tactic to dismiss an observation as qualitative rather than quantitative; this is seen as undermining the legitimacy of that observation. This may be related to the common perception of quantitative data as more Objective than qualitative data.

Use in prosody and poetry

In prosody and poetic meter, Syllable weight can be a governing principle. Syllables with naturally long vowels, diphthongs, and vowels followed by two or more consonants are said to be "heavy" (or "long"). Syllables with naturally short vowels, followed by only one or no consonant, are said to be "light" (or "short"). Some languages use syllable weight in assigning word accent. Some poetic meters are based on the arrangement of heavy and light syllables.