factor analysis - definição. O que é factor analysis. Significado, conceito
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O que (quem) é factor analysis - definição


Factor analysis         
  • ^2=h^2_a</math>. If another data vector <math>\mathbf{z}_b</math> were plotted, the cosine of the angle between <math>\mathbf{z}_a</math> and <math>\mathbf{z}_b</math> would be <math>r_{ab}</math> : the <math>(a,b)</math>-entry in the correlation matrix. (Adapted from Harman Fig. 4.3)<ref name="Harman"/>
STATISTICAL METHOD USED TO DESCRIBE CORRELATION THROUGH FEWER POSSIBLY LATENT VARIABLES
Factor analysis (in marketing); Factor Analysis; Multi-factorial; Factor loadings; Factorial analysis; Higher-order factor analysis; Principal factor analysis; Factor loading; Factor weight; Factor analyses; Statistical factor analysis
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. For example, it is possible that variations in six observed variables mainly reflect the variations in two unobserved (underlying) variables.
factor analysis         
  • ^2=h^2_a</math>. If another data vector <math>\mathbf{z}_b</math> were plotted, the cosine of the angle between <math>\mathbf{z}_a</math> and <math>\mathbf{z}_b</math> would be <math>r_{ab}</math> : the <math>(a,b)</math>-entry in the correlation matrix. (Adapted from Harman Fig. 4.3)<ref name="Harman"/>
STATISTICAL METHOD USED TO DESCRIBE CORRELATION THROUGH FEWER POSSIBLY LATENT VARIABLES
Factor analysis (in marketing); Factor Analysis; Multi-factorial; Factor loadings; Factorial analysis; Higher-order factor analysis; Principal factor analysis; Factor loading; Factor weight; Factor analyses; Statistical factor analysis
¦ noun Statistics a process in which the values of observed data are expressed as functions of a number of possible causes to determine which are most important.
Multiple factor analysis         
  • Figure1. MFA. Test data. Representation of individuals on the first plane.
  • Figure2. MFA. Test data. Representation of variables on the first plane.
  • Figure 3. MFA. Test data. Superimposed representation of mean and partial clouds.
  • Figure4. MFA. Test data. Representation of groups of variables.
  • Figure 5. MFA. Test data. Representation of the principal components of separate PCA of each group.
Multiple factor analysis (MFA) is a factorial method devoted to the study of tables in which a group of individuals is described by a set of variables (quantitative and / or qualitative) structured in groups. It may be seen as an extension of: