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Predictive & representative composite score

Author

Listed:
  • Seonwoong Eo

    (Innovation Team, Ilhwa Co., Ltd.)

  • Heungsun Park

    (Hankuk University of Foreign Studies)

  • Young Rock Kim

    (Hankuk University of Foreign Studies
    Korea Institute for Advanced Study)

Abstract

A composite score is made up of two or more variables that are conceptually or statistically correlated. There have been many methods to make composite scores, but it is still not easy to construct a desirable composite score given variables for a specific purpose. In this article, we present the composite scoring methods which represent each subgroup variable as equally as possible while having a predictive relationship to a future dependent variable. The presented composite scoring methods are also compared with the conventional methods for different correlation structures.

Suggested Citation

  • Seonwoong Eo & Heungsun Park & Young Rock Kim, 2023. "Predictive & representative composite score," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 1-14, February.
  • Handle: RePEc:spr:qualqt:v:57:y:2023:i:1:d:10.1007_s11135-022-01345-5
    DOI: 10.1007/s11135-022-01345-5
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    References listed on IDEAS

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    1. Meghnad Desai & Sakiko Fukuda-Parr & Claes Johansson & Fransisco Sagasti, 2002. "Measuring the Technology Achievement of Nations and the Capacity to Participate in the Network Age," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 3(1), pages 95-122.
    2. Frederik Booysen, 2002. "An Overview and Evaluation of Composite Indices of Development," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 59(2), pages 115-151, August.
    Full references (including those not matched with items on IDEAS)

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