# Quantitative

Talk0*34,117*pages on

this wiki

Assessment |
Biopsychology |
Comparative |
Cognitive |
Developmental |
Language |
Individual differences |
Personality |
Philosophy |
Social |

Methods |
Statistics |
Clinical |
Educational |
Industrial |
Professional items |
World psychology |

**Statistics:**
Scientific method ·
Research methods ·
Experimental design ·
Undergraduate statistics courses ·
Statistical tests ·
Game theory ·
Decision theory

A **quantitative** property is one that exists in a range of magnitudes, and can therefore be measured. Measurements of any particular quantitative property are expressed as a specific quantity, referred to as a unit, multiplied by a number. Examples of physical quantities are distance, mass, and time. Many attributes in the social sciences, including abilities and personality traits, are also studied as quantitative properties.

## Historical backgroundEdit

### The classical concept of quantityEdit

In classical terms, the structure of a quantitative property is such that different magnitudes of the quantity stand in relation to one another as ratios which, in turn, can be expressed as real numbers. *Measurement* is the determination or estimation of ratios of quantities. Quantity and measurement are therefore mutually defined: quantitative attributes are those which it is possible to measure, at least in principle. The classical concept of quantity can be traced back to John Wallis and Isaac Newton, and was foreshadowed in Euclid's *Elements* (Michell, 1993).

### The representational theory of measurementEdit

In the representational theory, *measurement* is regarded as "the correlation of numbers with entities that are not numbers" (Nagel, 1932). In some forms of representational theory, numbers are assigned on the basis of correspondences or similarities between the structure of number systems and the structure of qualitative systems. A quantitative property is therefore one for which such structural similarities can be established. In other forms of representational theory, such as that implicit within the work of Stanley Smith Stevens, numbers need only be assigned according to a rule. The rule may be a purely operational one such as the statement by an experimental subject of a number in response to a physical stimulus, or the assignment of a number to a statement in a Likert scale. Stevens proposed four levels of measurement.

## Fundamental considerations in quantitative researchEdit

Whether numbers obtained through an experimental procedure are considered measurements is, on the one hand, largely a matter of how *measurement* is defined. On the other hand, the nature of the measurement process has important implications for scientific research. Firstly, many arithmeitic operations are only justified for measurements either in the classical sense described above, or in the sense of interval and ratio-level measurements as defined by Stevens (which arguably describe the same thing). Secondly, quantitative *relationships* between different properties which feature in most natural theories and laws imply that the properties have a specific type of quantitative structure; namely, the structure of a continuous quantity. The reason for this is that such theories and laws display a multiplicative structure (for example Newton's second law).

Continuous quantities are those for which magnitudes can be represented as real numbers and for which, therefore, measurements can be expressed on a continuum. Continuous quantities may be scalar or vector quantities. For example, SI units are physical units of continuous quantitative properties, phenomena, and relations such as distance, mass, heat, force and angular separation. The classical concept of quantity described above necessarily implies the concept of continuous quantity.

Recording observations with numbers does not, in itself, imply that an attribute is quantitative. For example, judges routinely assign numbers to properties such as the perceived beauty of an exercise (e.g. 1-10) without necessarily establishing quantitative structure in any sort of rigorous fashion. A researcher might also use 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. A person's name is not, therefore, a quantitative property.

Whether counts of objects or observations are considered measurements is also largely a matter of how *measurement* is defined. Again, though, an important consideration is the manner in which resulting numbers are used. Counts are not measurements of continuous quantities. If, for example, a researcher were to count the number of grains of sand in a specified volume of space on a beach, the result denumerates how many separate grains there are; i.e. the number of separate distinguishable entities of a specific type. Arithmetic operations, such as addition, have meaning only in this specific sense. For instance, combining 5 and 4 grains of sand gives 9 grains of sand. The numbers used in this case are therefore the natural numbers.

Any object is characterized by many attributes, such as colour and mass, only some of which constitute continuous quantities. For example, the *mass* of a specific grain of sand is a continuous quantity whereas the grain, as an object, is not. Thus, the *mass* of a grain of sand can be used as a unit of mass because it is possible to estimate the ratio of the mass of another object to the mass of a grain of sand, given an appropriate instrument.

In the social sicences, it is also common to count frequencies of *observations*; i.e. frequencies of observable outcomes in an experiment. Examples include the number of correct scores on an assessment of an ability, and the number of statements on a questionnaire endorsed by respondents. Provided each observable outcome is the manifestation of an underlying quantitative attribute, such frequencies will generally indicate relative magnitudes of that attribute. Strictly speaking, however, counts and frequencies do not constitute measurement in terms of a unit of continuous quantity.

## Use in prosody and poetryEdit

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.

## ReferencesEdit

- Michell, J. (1993). The origins of the representational theory of measurement: Helmholtz, Hölder, and Russell.
*Studies in History and Philosophy of Science*, 24, 185-206. - Nagel, E. (1932). Measurement.
*Erkenntnis*, 2, 313-33, reprinted in A. Danato and S. Morgenbesser (Eds.),*Philosophy of Sciences*(pp. 121-140). New Yourk: New American Library.

## See alsoEdit

This page uses Creative Commons Licensed content from Wikipedia (view authors). |