Exploratory factor analysis in studying the structure of multivariate observations
Zbigniew Laudański
zbigniew_laudanski@sggw.edu.plZakład Biometrii, Wydział Zastosowań Informatyki i Matematyki, SGGW Warszawa (Poland)
Dariusz R. Mańkowski
Pracownia Ekonomiki Nasiennictwa i Hodowli Roślin, Zakład Nasiennictwa i Nasionoznawstwa, IHAR — PIB Radzików (Poland)
https://orcid.org/0000-0002-7499-8016
Małgorzata Flaszka
Katedra Doświadczalnictwa i Bioinformatyki, Wydział Rolnictwa i Biologii, SGGW Warszawa (Poland)
Abstract
The paper presents the basic principles and practical applications in agricultural sciences of exploratory factor analysis, EFA. We described the numerical issues related to conducting the necessary calculations. Presented examples demonstrated how to interpret the results of EFA and examples of its use in agricultural research.
Keywords:
EFA, PCA, factor analysis EFA, principal component analysis PCA, correlationsReferences
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Authors
Zbigniew Laudańskizbigniew_laudanski@sggw.edu.pl
Zakład Biometrii, Wydział Zastosowań Informatyki i Matematyki, SGGW Warszawa Poland
Authors
Dariusz R. MańkowskiPracownia Ekonomiki Nasiennictwa i Hodowli Roślin, Zakład Nasiennictwa i Nasionoznawstwa, IHAR — PIB Radzików Poland
https://orcid.org/0000-0002-7499-8016
Authors
Małgorzata FlaszkaKatedra Doświadczalnictwa i Bioinformatyki, Wydział Rolnictwa i Biologii, SGGW Warszawa Poland
Statistics
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Copyright (c) 2012 Zbigniew Laudański, Dariusz R. Mańkowski, Małgorzata Flaszka
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