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Main trends of research in the social and human ... - unesdoc - Unesco

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544 Raymond Boudon<br />

D. The new ma<strong>the</strong>matics<br />

Ano<strong>the</strong>r noteworthy circumstance is <strong>the</strong> dem<strong>and</strong> <strong>in</strong> <strong>the</strong> <strong>social</strong> <strong>and</strong> <strong>human</strong> scien-<br />

ces for new ma<strong>the</strong>matical techniques. For many years <strong>the</strong> ma<strong>the</strong>matics <strong>the</strong>y<br />

used were limited to elementary algebraic procedures, classical ma<strong>the</strong>matical<br />

analysis, or elementary applications <strong>of</strong> probability calculus <strong>and</strong> statistical<br />

method. Here aga<strong>in</strong>, <strong>the</strong> example <strong>of</strong> classical mechanics undoubtedly contribut-<br />

ed greatly to <strong>the</strong> choice <strong>of</strong> <strong>the</strong> ma<strong>the</strong>matical <strong>in</strong>struments used.<br />

Quite recently, <strong>the</strong> sciences <strong>of</strong> man have been us<strong>in</strong>g a number <strong>of</strong> ma<strong>the</strong>-<br />

matical tools <strong>of</strong> more recent design. Moreover, <strong>the</strong> development <strong>of</strong> <strong>the</strong> ma<strong>the</strong>-<br />

matical methodology is sufficiently advanced <strong>in</strong> some fields to give rise to a<br />

need for new formal <strong>in</strong>struments <strong>and</strong> secure <strong>the</strong>ir creation. In this section, it<br />

must suffice to cite some <strong>in</strong>stances <strong>of</strong> branches <strong>of</strong> ma<strong>the</strong>matics whose application<br />

to <strong>the</strong> <strong>human</strong> sciences is <strong>in</strong> most cases <strong>of</strong> very recent date.<br />

Advanced algebra, particularly l<strong>in</strong>ear algebra, is com<strong>in</strong>g <strong>in</strong>to ever more<br />

general use <strong>in</strong> <strong>the</strong> sciences <strong>of</strong> man. It has uses <strong>in</strong> economics, where one <strong>of</strong> <strong>the</strong><br />

best known <strong>in</strong>stances <strong>of</strong> its application consists <strong>in</strong> <strong>the</strong> well-known Leontieff<br />

matrices. In psychology, factorial analysis is so called - perhaps <strong>in</strong> part - be-<br />

cause it consists <strong>in</strong> factoriz<strong>in</strong>g certa<strong>in</strong> matrices, <strong>the</strong> basis equation <strong>of</strong> factorial<br />

analysis, as <strong>of</strong> many methods <strong>of</strong> dimensional analysis used by psychologists,<br />

be<strong>in</strong>g <strong>the</strong> matrix equation:<br />

R = AA‘<br />

Here R is a matrix <strong>of</strong> correlation, e.g. between psychometric tests, while A is <strong>the</strong><br />

matrix express<strong>in</strong>g <strong>the</strong> correlations (saturations) between <strong>the</strong> tests, <strong>and</strong> <strong>the</strong><br />

unknowns or latent factors responsible for <strong>the</strong> responses be<strong>in</strong>g right or wrong.<br />

Matrix A’ is simply <strong>the</strong> transposed matrix <strong>of</strong> A (that is, <strong>the</strong> matrix obta<strong>in</strong>ed by<br />

<strong>in</strong>terchang<strong>in</strong>g <strong>the</strong> l<strong>in</strong>es <strong>and</strong> columns <strong>of</strong> A).<br />

In <strong>social</strong> psychology, <strong>the</strong> measurement <strong>the</strong>ory known as latent structure<br />

analysis has- <strong>and</strong> on some po<strong>in</strong>ts still does- set <strong>the</strong> ma<strong>the</strong>matician complex alge-<br />

braic problems. Aga<strong>in</strong>, as was stressed <strong>in</strong> an earlier section sociometric analysis<br />

(analysis <strong>of</strong> sociograms) frequently relies on matrix algebra to <strong>the</strong> extent<br />

that any system <strong>of</strong> relations can always be represented by a matrix.<br />

In anthropology, some <strong>research</strong> procedures, like <strong>the</strong> k<strong>in</strong>ship structure analysis<br />

model proposed by Bush, use l<strong>in</strong>ear algebra.<br />

In sociology, a very large number <strong>of</strong> phenomena are ‘naturals’ for represen-<br />

tation <strong>in</strong> matrix form, followed by some application <strong>of</strong> l<strong>in</strong>ear algebra: <strong>social</strong><br />

mobility tables, turnover tables deriv<strong>in</strong>g from panel surveys (surveys carried<br />

out more than once on <strong>the</strong> same sample), etc.<br />

Stochastic process <strong>the</strong>ory. The <strong>in</strong>troduction <strong>of</strong> stochastic process <strong>the</strong>ory <strong>in</strong>to <strong>the</strong><br />

<strong>social</strong> <strong>and</strong> <strong>human</strong> sciences is recent. Even <strong>the</strong> most ma<strong>the</strong>maticized <strong>of</strong> <strong>the</strong>se<br />

sciences, economics, still resorts to <strong>the</strong>se processes on a modest scale only. It is<br />

safe to say that currently <strong>the</strong> only tool from <strong>the</strong> battery <strong>of</strong> stochastic processes<br />

which is used on any scale is Markov cha<strong>in</strong> <strong>the</strong>ory, at that almost exclusively<br />

homogeneous Markov cha<strong>in</strong>s (cha<strong>in</strong>s characterized by <strong>the</strong> fact that <strong>the</strong> prob-

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