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Interpreting multiple correspondence analysis

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  • Michael J. Greenacre

Abstract

The practical aspects of interpreting multiple correspondence analysis are reviewed. The geometric concepts associated with simple correspondence analysis are shown to be inadequate for multiple correspondence analysis. An alternative approach, called joint correspondence analysis, is shown to be a more natural generalization of the simple case. The practical interpretation of homogeneity analysis is also discussed and a compromise is proposed between classical multiple correspondence analysis and joint correspondence analysis, preserving the optimal scaling properties of homogeneity analysis. A simple example is used throughout the discussion to illustrate the issues involved.

Suggested Citation

  • Michael J. Greenacre, 1991. "Interpreting multiple correspondence analysis," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 7(2), pages 195-210, June.
    • Handle: RePEc:wly:apsmda:v:7:y:1991:i:2:p:195-210
    DOI: 10.1002/asm.3150070208
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    1. Santanu Roy & Jay Mitra, 2015. "Strategic Capabilities for Public Sector-led Innovation: Managing Knowledge Worker Deployment at and Quality Performance of Public R&D Laboratories in India," Journal of Entrepreneurship and Innovation in Emerging Economies, Entrepreneurship Development Institute of India, vol. 1(2), pages 181-200, July.
    2. Mulquin, Marie-Eve & Siaens, Corinne & Wodon, Quentin, 1998. "Les restaurants du coeur : pour qui et pourquoi ? [Food Aid for the Poor or Social Support? Case Study on a Belgian Social Restaurant]," MPRA Paper 10504, University Library of Munich, Germany.
    3. Robert Boik, 1996. "An efficient algorithm for joint correspondence analysis," Psychometrika, Springer;The Psychometric Society, vol. 61(2), pages 255-269, June.
    4. Viktoriia Tomnyuk & Giuseppe Varavallo & Tania Parisi & Filippo Barbera, 2023. "All Shades of Green: The Anatomy of the Fridays for Future Movement in Italy," Sustainability, MDPI, vol. 15(18), pages 1-16, September.
    5. Janina Enachescu & Maximilian Zieser & Eva Hofmann & Erich Kirchler, 2019. "Horizontal Monitoring in Austria: subjective representations by tax officials and company employees," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 75-94, April.
    6. Antonio Ladrón de Guevara & Anna Torres & Josep A. Tribó, 2006. "Perceptual mapping of practical ethics along the value chain: A multiple correspondence analysis with industry and cultural indices as supplementary variables," Economics Working Papers 951, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Sánchez-Chaparro, Teresa & Soler-Vicén, Miguel Ángel & Gómez-Frías, Víctor, 2022. "Be good and look good: Communicating the triple bottom line through corporate websites," Journal of Business Research, Elsevier, vol. 144(C), pages 136-145.
    8. Jean-Marie Nkongolo-Bakenda, 2002. "Inter-firm Networking Propensity in Small and Medium-sized Enterprises (SMEs)," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 7(1), pages 99-122, Spring.
    9. A. Busetta & A. Milito, 2010. "Socio-Demographic Vulnerability: The Condition of Italian Young People," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 97(3), pages 375-396, July.
    10. Giuseppe Di Vita & Daniela Spina & Rachele De Cianni & Roberto Carbone & Mario D’Amico & Raffaele Zanchini, 2023. "Enhancing the extended value chain of the aromatic plant sector in Italy: a multiple correspondence analysis based on stakeholders’ opinions," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-24, December.
    11. Raquel Arévalo Tomé & José María Chamorro Rivas, "undated". "Geographic Heterogeneity in Housing. Evidence from Spain," Studies on the Spanish Economy 203, FEDEA.

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