Knowledge extraction from a large on-line survey: a case study for a higher education corporate marketing

DOI10.1080/02664763.2011.567248OpenAlexW1996560469MaRDI QIDQ5124948

Juan I. Modroño-Herrán, Karmele Fernandez-Aguirre, M. Isabel Landaluce-Calvo, A. Martín-Arroyuelos

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2011.567248

zbMATH Keywords

clusteringprincipal component analysiscorrespondence analysisknowledge extractionPLS path modellinglogit modelsdata and text mining

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• PLS path modeling
• An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data
• Correspondence Analysis in Practice
• A note on a general definition of the coefficient of determination
• Econometrics of Qualitative Dependent Variables
• A Hybrid Clustering Method for Identifying High-Density Clusters
• Multiple Correspondence Analysis and Related Methods
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