A Categorical Principal Component Regression on Computer-Assisted Instruction in Probability Domain

DOI10.1007/978-3-319-73241-1_10zbMath1397.62212OpenAlexW2785798129MaRDI QIDQ4689255

Tuğba Kapucu, İnci Batmaz, Ozlem Ilk

Publication date: 15 October 2018

Published in: Contributions to Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-73241-1_10

zbMATH Keywords

linear modelsmulticollinearityR softwareteaching probabilitycomputer-assisted instructioncategorical principal components analysis

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to social sciences (62P25)

Uses Software

• R
• SPSS
• MVA
• aspect

Cites Work

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• Exploring probability in school. Challenges for teaching and learning
• Principal component analysis.
• An Introduction to Applied Multivariate Analysis with R

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