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A análise de componentes principais é útil para selecionar bons itens quando a dimensionalidade dos dados é desconhecida? / Is principal component analysis useful for selecting good items when the dimensionality of the data is unknown?
Hauck, Nelson; Valentini, Felipe.
Affiliation
  • Hauck, Nelson; Universidade São Francisco. Campinas. BR
  • Valentini, Felipe; Universidade São Francisco. Campinas. BR
Aval. psicol ; 19(4): a-c, out.-dez. 2020. tab
Article in Portuguese | LILACS, Index Psychology - journals | ID: biblio-1153191
Responsible library: BR1249.1
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Full text: Available Collection: International databases Database: Index Psychology - journals / LILACS Main subject: Factor Analysis, Statistical / Principal Component Analysis / Multifactor Dimensionality Reduction Language: Portuguese Journal: Aval. psicol Journal subject: Psicologia Year: 2020 Document type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade São Francisco/BR
Fulltext
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Full text: Available Collection: International databases Database: Index Psychology - journals / LILACS Main subject: Factor Analysis, Statistical / Principal Component Analysis / Multifactor Dimensionality Reduction Language: Portuguese Journal: Aval. psicol Journal subject: Psicologia Year: 2020 Document type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade São Francisco/BR