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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 searches for…

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Overview

Statistical model

Practical implementation

Exploratory factor analysis (EFA) versus principal component analysis (PCA)

In psychometrics

In cross-cultural research

In marketing

In physical and biological sciences

In microarray analysis

Implementation

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Map overview Semantic statistics

Factor analysis

Nodes120
Edges119
Triples262
Avg. degree1.98
Density0.016667
Components1

How this topic connects Entity context

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Factor analysis

Top relations

related to Further reading · 60
Factor analysis → American Psychological Association, An, April, Chapman, Child, Conference, Confirmatory Factor Analysis, Continuum International, Dennis, Evaluating, Exploratory, Exploring, Fabrigar, Factor Analysis Machine, Foundations, Function-point, Functionplane, Gray, Hall, Hans-Georg Wolff
related to External links · 18
Factor analysis → April, Archived, Beginner's Guide, Book Manuscript, David, David Garson, Factor AnalysisExploratory Factor Analysis, MacCallum, Multivariate Analysis, North Carolina State University, Public Administration ProgramFactor Analysis, Retrieved, Retrieved June, Robust Microarray Summarization, Statnotes, Topics, Tucker, Wayback MachineGarson
related to Advantages · 13
Factor analysis → Both, Carroll, Factor, For, Furthermore, He, Identification, In, It, Reduction, This, Three Stratum Theory, Usually
related to In political science · 13
Factor analysis → Access, Consensus, Differentiation, Factor, For, In, Interest, Leadership Theory, Legitimation, National Election Study, Other, Research, Sectionalism
related to Arguments contrasting PCA and EFA · 11
Factor analysis → Fabrigar, Heywood, However, In, It, PCA, Researchers, The, There, These, This
related to Disadvantages · 11
Factor analysis → But, Factor, If, In, Interpreting, More, Naming, Sternberg, Therefore, This, Usefulness
related to Exploratory factor analysis (EFA) versus principal component analysis (PCA) · 11
Factor analysis → Both PCA, EFA, Factor, From, If, In, PCA, Researchers, The, There, Whilst EFA
related to Higher order factor analysis · 10
Factor analysis → Gorsuch, Higher-order, Its, Leiman, Schmid, Schmid-Leiman, SLS, Thompson, To, Varimax
related to Implementation · 10
Factor analysis → BMDPJMP, Factor, GPArotation, Mplus, PROC CALIS, PROC FACTOR, Python, Rotations, SAS, SPSSStata
related to In cross-cultural research · 10
Factor analysis → Christian Welzel, Factor, Geert Hofstede, Inglehart, It, Michael Minkov, Ronald Inglehart, Shalom Schwartz, The, Welzel's

Important terminology Word statistics

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Important terminology

factor analysis factors variables matrix data pca displaystyle used correlation observed intelligence two variance components model different may number using

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Factor analysisis astatistical method used to describe variability among observed0.90text
Factor analysisis astatistical method consisting of repeating steps factor analysis0.90text
Factor analysisis ainterdependence technique0.90text
.4 for the central factorinstance ofwill use a lower level0.80text
.25 for other factorsinstance ofwill use a lower level0.80text
personalityinstance ofit also has been used to find factors in a broad range of domains0.80text
attitudesinstance ofit also has been used to find factors in a broad range of domains0.80text
beliefsinstance ofit also has been used to find factors in a broad range of domains0.80text
etcinstance ofit also has been used to find factors in a broad range of domains0.80text
general athletic abilityinstance ofjumping and weight lifting could be combined into a single factor0.80text
self-reportsinstance ofwhere researchers often have to rely on less valid and reliable measures0.80text
this can be problematic.Interpreting factor analysis is based on using ainstance ofwhere researchers often have to rely on less valid and reliable measures0.80text

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