Horn's Parallel Analysis
Horn's Parallel Analysis is a statistical method used in dimensionality assessment that determines the number of principal components or factors to retain by comparing observed eigenvalues from empirical data with those derived from randomly generated datasets of the same size and structure.
14
Publications
2K
Citations
23
Authors
27
Institutions
Publications per year
2017–2026
3
Variants
Parallel Analysis
Parents
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Duquesne University
Pittsburgh, United States
1 h-index
1 publications
23 citations

University of Groningen
Groningen, The Netherlands
1 h-index
1 publications
27 citations
KU Leuven
Leuven, Belgium
1 h-index
1 publications
50 citations
Adıyaman University
Adıyaman, Türkiye
1 h-index
1 publications
202 citations

University of Arkansas at Fayetteville
Fayetteville, United States
1 h-index
1 publications
737 citations
Nofima
Tromsø, Norway
1 h-index
1 publications
50 citations

Universidad Autónoma de Madrid
Madrid, Spain
1 h-index
3 publications
1K citations

Ankara University
Ankara, Türkiye
1 h-index
1 publications
202 citations
1–8 of 27
1 publications · 50 citations
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JMASM · 1 publications · 23 citations
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1 publications · 27 citations
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1 publications · 50 citations
1
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EBER · 1 publications · 26 citations
1
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