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On the Use of Component Scores in the Presence of Group Structure

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  • Dillon, William R
  • Mulani, Narendra
  • Frederick, Donald G

Abstract

Examination of the properties of component scores in the presence of group structure shows that the first few components extracted, typically viewed as most informative regarding total variance, do not necessarily contain the most information across group differences. A method for identifying informative components that account for across group differences is presented and illustrated. Copyright 1989 by the University of Chicago.

Suggested Citation

  • Dillon, William R & Mulani, Narendra & Frederick, Donald G, 1989. "On the Use of Component Scores in the Presence of Group Structure," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(1), pages 106-112, June.
  • Handle: RePEc:oup:jconrs:v:16:y:1989:i:1:p:106-12
    DOI: 10.1086/209198
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    1. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    2. Gould, Stephen J. & Oakes, Leslie S. & Considine, Judith M., 1997. "Profiling pharmaceutical allergy medications by symptoms and their relief: A study of consumer perceptions," Journal of Business Research, Elsevier, vol. 40(3), pages 199-206, November.
    3. Mitra, Suman & Yao, Mingqi & Ritchie, Stephen G., 2021. "Gender differences in elderly mobility in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 203-226.
    4. A. Oumlil & Joseph Balloun, 1994. "Some simple structure significance tests for exploratory component analysis with market survey data," Quality & Quantity: International Journal of Methodology, Springer, vol. 28(4), pages 371-381, November.
    5. Robert Kapłon, 2006. "A retrospective review of categorical data analysis – theory and marketing practice," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(1), pages 55-72.
    6. Maria Warne & Kristen Snyder & Katja Gådin, 2014. "Adaptation and Validation of a Positive Health Scale for Adolescents," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(2), pages 1079-1093, November.
    7. Zhiliang Ma & Adam Cardinal-Stakenas & Youngser Park & Michael Trosset & Carey Priebe, 2010. "Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices," Journal of Classification, Springer;The Classification Society, vol. 27(3), pages 307-321, November.
    8. Pritchett, James G. & Johnson, Kamina K., 2005. "Retail Meat Feature Pricing: Enhancing Meat-Case Revenues?," Journal of Food Distribution Research, Food Distribution Research Society, vol. 36(1), pages 1-7, March.
    9. Pankaj Patel & Sherry Thatcher & Katerina Bezrukova, 2013. "Organizationally-relevant configurations: the value of modeling local dependence," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(1), pages 287-311, January.

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