Exploratory factor analysis

Known as: EFA 
In multivariate statistics, exploratory factor analysis (EFA) is a statistical method used to uncover the underlying structure of a relatively large… (More)
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Topic mentions per year

Topic mentions per year

1977-2018
05010015019772018

Papers overview

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2017
2017
  • Thatiana Helena de LIMA
  • 2017
The objective of this study is to investigate the evidence of construct validity of a phonological awareness instrument… (More)
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2014
2014
Exploratory factor analysis is a complex and multivariate statistical technique commonly employed in information system, social… (More)
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Highly Cited
2009
Highly Cited
2009
Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students' Evaluations of University Teaching… (More)
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Highly Cited
2008
Highly Cited
2008
Exploratory factor analysis (EFA) has been said to be the most frequently used multivariate analysis technique in statistics… (More)
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2008
2008
Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal… (More)
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Highly Cited
2007
Highly Cited
2007
Parallel Analysis is a Monte Carlo simulation technique that aids researchers in determining the number of factors to retain in… (More)
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Highly Cited
2005
Highly Cited
2005
Exploratory factor analysis (EFA) is a complex, multi-step process. The goal of this paper is to collect, in one article… (More)
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Highly Cited
2002
Highly Cited
2002
Proper use of exploratory factor analysis (EFA) requires the researcher to make a series of careful decisions. Despite attempts… (More)
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Review
1999
Review
1999
Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable… (More)
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Highly Cited
1999
Highly Cited
1999
Background and Purpose—No stroke scale has been validated as an outcome measure using data from a clinical trial demonstrating a… (More)
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