| [https://nordan.daynal.org/wiki/index.php?title=English#ca._1100-1500_.09THE_MIDDLE_ENGLISH_PERIOD Middle English], from Middle French facteur, from [[Latin]] factor doer, from facere | | [https://nordan.daynal.org/wiki/index.php?title=English#ca._1100-1500_.09THE_MIDDLE_ENGLISH_PERIOD Middle English], from Middle French facteur, from [[Latin]] factor doer, from facere |
| :b : a [[quantity]] by which a given quantity is multiplied or divided in order to indicate a [[difference]] in [[measurement]] <costs increased by a factor of 10> | | :b : a [[quantity]] by which a given quantity is multiplied or divided in order to indicate a [[difference]] in [[measurement]] <costs increased by a factor of 10> |
− | '''Factor''' [[analysis]] is a [[statistical]] [[method]] used to describe variability among [[observed]] variables in terms of a [[potentially]] lower [[number]] of unobserved variables called factors. In other [[words]], it is [[possible]], for example, that two or three observed variables together [[represent]] another, unobserved variable, and ''factor analysis'' searches for these possible combinations. The observed variables are [[modeled]] as [[linear]] combinations of the potential factors, plus "error" terms. The [[information]] gained about the [[interdependencies]] between observed variables can be used later to reduce the set of variables in a [[data]]set. Factor analysis originated in [http://en.wikipedia.org/wiki/Psychometrics psychometrics], and is used in [[Psychology|behavioral sciences]], [[social sciences]], marketing, product management, operations [[research]], and other applied sciences that deal with large [[quantities]] of [[data]].[http://en.wikipedia.org/wiki/Factor_analysis] | + | '''Factor''' [[analysis]] is a [[statistical]] [[method]] used to describe variability among [[observed]] variables in terms of a [[potentially]] lower [[number]] of unobserved variables called factors. In other [[words]], it is [[possible]], for example, that two or three observed variables together [[represent]] another, unobserved variable, and ''factor analysis'' searches for these possible combinations. The observed variables are [[modeled]] as [[linear]] combinations of the potential factors, plus "error" terms. The [[information]] gained about the [[interdependencies]] between observed variables can be used later to reduce the set of variables in a [[data]]set. Factor analysis originated in [https://en.wikipedia.org/wiki/Psychometrics psychometrics], and is used in [[Psychology|behavioral sciences]], [[social sciences]], marketing, product management, operations [[research]], and other applied sciences that deal with large [[quantities]] of [[data]].[https://en.wikipedia.org/wiki/Factor_analysis] |