History published data on European population.
Adolph Quetelet was a proponent of
social physics. In his book
Physique sociale he presents distributions of human
heights,
age of marriage, time of birth and death,
time series of human marriages, births and deaths, a
survival density for humans and curve describing
fecundity as a function of age. He also developed the
Quetelet Index.
Francis Ysidro Edgeworth published "On Methods of Ascertaining Variations in the Rate of Births, Deaths, and Marriages" in 1885 which uses squares of differences for studying fluctuations and
George Udny Yule published "On the
Correlation of total
Pauperism with Proportion of
Out-Relief" in 1895. A numerical
calibration for the fertility curve was given by
Karl Pearson in 1897 in his "The Chances of Death, and Other Studies in Evolution" In this book Pearson also uses
standard deviation,
correlation and
skewness for studying humans.
Vilfredo Pareto published his analysis of the
distribution of income in
Great Britain and
Ireland in 1897, this is now known as the
Pareto principle.
Louis Guttman proposed that the values of
ordinal variables can be represented by a
Guttman scale, which is useful if the number of variables is large and allows the use of techniques such as
ordinary least squares.
Macroeconomic statistical research has provided
stylized facts, which include: •
Bowley's law (1937) regarding the proportion between
wages and national output • The
Phillips curve (1958) regarding the relation between
wages and
unemployment Statistics and statistical analyses have become a key feature of social science: statistics is employed in
economics,
psychology,
political science,
sociology and
anthropology.
Statistical methods in social sciences : causal paths link endogenous variables and exogenous variables. showing two main clusters algorithm Methods and concepts used in quantitative social sciences include: •
Research design,
survey methodology and
survey sampling •
Delphi method Statistical techniques include: • preventing industrial diseases • supporting governments in times of peace and war
Reliability The use of statistics has become so widespread in the social sciences that many universities such as
Harvard, have developed institutes focusing on "quantitative social science." Harvard's
Institute for Quantitative Social Science focuses mainly on fields like
political science that incorporate the advanced causal statistical models that
Bayesian methods provide. However, some experts in causality feel that these claims of
causal statistics are overstated. There is a debate regarding the uses and value of statistical methods in social science, especially in
political science, with some statisticians questioning practices such as
data dredging that can lead to unreliable policy conclusions of political partisans who overestimate the interpretive power that non-robust statistical methods such as simple and multiple
linear regression allow. Indeed, an important axiom that social scientists cite, but often forget, is that "
correlation does not imply causation." ==Further reading==