Editing Social statistics (section)

=== Statistical methods in social sciences===
[[File:Path example.JPG|thumb|right|upright=1.05|Diagram illustrating [[path analysis (statistics)|path analysis]]: causal paths link endogenous variables and exogenous variables.]]
[[File:SLINK-density-data.svg|thumb|right|upright=1.05|[[Cluster analysis]] showing two main clusters]]
[[File:Perceptron cant choose.svg|thumb|right|upright=1.05|A classification performed using the [[perceptron]] algorithm]]

Methods and concepts used in quantitative social sciences include:<ref name="MilSal">{{citation |year=2002 |author=Miller, Delbert C., & Salkind, Neil J |title=Handbook of Research Design and Social Measurement |place=California |publisher=Sage |isbn=0-7619-2046-3 |url=https://books.google.com/books?id=sgoHv5ZP6dcC&q=measurement+social}}</ref>
* [[Research design]], [[survey methodology]] and [[survey sampling]]
* [[Delphi method]]

Statistical techniques include:<ref name="MilSal"/>

====Covariance based methods====

* [[Regression analysis]]
* [[Canonical correlation]]
* [[Causal analysis]]
* [[Multilevel models]]
* [[Factor analysis]]
* [[Linear discriminant analysis]]
* [[Path analysis (statistics)|Path analysis]]
* [[Structural Equation Modeling]]

====Probability based methods====

* [[Probit]] and [[logit]]
* [[Item response theory]]
* [[Bayesian statistics]]
* [[Stochastic process]]
* [[Latent class model]]

====Distance based methods====

* [[Cluster analysis]]
* [[Multidimensional scaling]]

====Methods for categorical data====

* [[Classification analysis]]
* [[Cohort analysis]]