EXTRACTING  RELEVANT  VARIABLES  TO DESCRIBE STUDENT PERFORMANCES USING  PRINCIPAL COMPONENTS  ANALYSIS (PCA) Cover Image

EXTRACTING RELEVANT VARIABLES TO DESCRIBE STUDENT PERFORMANCES USING PRINCIPAL COMPONENTS ANALYSIS (PCA)
EXTRACTING RELEVANT VARIABLES TO DESCRIBE STUDENT PERFORMANCES USING PRINCIPAL COMPONENTS ANALYSIS (PCA)

Author(s): Emanuela Alisa Nica , Virgil Fătu
Subject(s): Economy
Published by: Editura Universităţii Vasile Goldiş
Keywords: performance; principal components analysis.

Summary/Abstract: The method of the main components analysis is used to establish pupils’ performance profile, a useful method for extracting the variables relevant in the pupils’ performance description. The data resources are taken from the official sites of OECD, EUROSTAT, OECD PISA as well as the Statistic Yarbooks of different countries.

  • Issue Year: 20/2010
  • Issue No: 2
  • Page Range: 501-507
  • Page Count: 7
  • Language: Romanian
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