IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-03851980.html
   My bibliography  Save this paper

Modelling the Prison Life Index with Value Focused Thinking Methodology

Author

Listed:
  • Lola Martin-Moro
  • Meltem Öztürk

    (LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Florence Laufer

Abstract

Building a composite index (CI) is a delicate work implying a series of decisions which consequences will determine the scope of the tool. This is especially true for the very first steps of this construction: the definition of the theoretical framework and the selection of relevant indicators, usually referred to as the construction of the model. However, the literature seems to focus more on the other aspects, quite often eluding those first critical steps or considering it self-evident. How to ensure the soundness of those tools when the values that they convey are not even clearly expressed? How to ensure the completeness of the model according to the reality that it ought to synthetise when it's a highly complex or abstract one? Each of these steps involves hypotheses and presuppositions that must be explained and evaluated with care. In this article, we seek to identify a coherent method that will fit that very purpose. Our primary hypothesis, following recent work, is that conceiving CIs as potential decision problems is a relevant approach. It allows to solicit the Multi Criteria Decision Aiding theory, that is rich in modelling methodologies-such as Ralph Keeeney's Value Focused Thinking. Using a real-life application, the construction the Prison Life Index,we try to show the relevance of those primary hypothesis by displaying the model of the index and summarizing the 1 Social Indicators Research 2 CONTENTS stage of its construction. This adapted methodology can guide index builders in the determination of a model that comprehensively fits its intended purpose and that isn't overly dependent on available data.

Suggested Citation

  • Lola Martin-Moro & Meltem Öztürk & Florence Laufer, 2022. "Modelling the Prison Life Index with Value Focused Thinking Methodology," Working Papers hal-03851980, HAL.
    • Handle: RePEc:hal:wpaper:hal-03851980
    Note: View the original document on HAL open archive server: https://hal.science/hal-03851980
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03851980/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paolo Paruolo & Michaela Saisana & Andrea Saltelli, 2013. "Ratings and rankings: voodoo or science?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 609-634, June.
    2. Cinelli, Marco & Kadziński, Miłosz & Miebs, Grzegorz & Gonzalez, Michael & Słowiński, Roman, 2022. "Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system," European Journal of Operational Research, Elsevier, vol. 302(2), pages 633-651.
    3. Andrea Saltelli, 2007. "Composite Indicators between Analysis and Advocacy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 81(1), pages 65-77, March.
    4. 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.
    5. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    6. Keeney, Ralph L., 1996. "Value-focused thinking: Identifying decision opportunities and creating alternatives," European Journal of Operational Research, Elsevier, vol. 92(3), pages 537-549, August.
    7. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2019. "Building composite indicators using multicriteria methods: a review," Journal of Business Economics, Springer, vol. 89(1), pages 1-24, February.
    8. Amidou Kpoumié & Sébastien Damart & Alexis Tsoukiàs, 2012. "Integrating Cognitive Mapping Analysis into Multi-Criteria Decision Aiding," Working Papers hal-00875480, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    2. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2019. "Sigma-Mu efficiency analysis: A methodology for evaluating units through composite indicators," European Journal of Operational Research, Elsevier, vol. 278(3), pages 942-960.
    3. Milica Maricic & Jose A. Egea & Veljko Jeremic, 2019. "A Hybrid Enhanced Scatter Search—Composite I-Distance Indicator (eSS-CIDI) Optimization Approach for Determining Weights Within Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 497-537, July.
    4. Khatab Alqararah, 2023. "Assessing the robustness of composite indicators: the case of the Global Innovation Index," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-22, December.
    5. Samy Katumba & Julia Kadt & Mark Orkin & Paul Fatti, 2022. "Construction of a Reflective Quality of Life Index for Gauteng Province in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 373-408, November.
    6. Giuliano Resce & Fritz Schiltz, 2021. "Sustainable Development in Europe: A Multicriteria Decision Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 509-529, June.
    7. Panagiotis Artelaris, 2022. "A development index for the Greek regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1261-1281, June.
    8. Gaganis, Chrysovalantis & Pasiouras, Fotios & Tasiou, Menelaos & Zopounidis, Constantin, 2021. "CISEF: A composite index of social, environmental and financial performance," European Journal of Operational Research, Elsevier, vol. 291(1), pages 394-409.
    9. Naveen P Singh & Bhawna Anand & Surendra Singh & S K Srivastava & Ch Srinivasa Rao & K V Rao & S K Bal, 2021. "Synergies and trade-offs for climate-resilient agriculture in India: an agro-climatic zone assessment," Climatic Change, Springer, vol. 164(1), pages 1-26, January.
    10. Rabia Bovkir & Eda Ustaoglu & Arif Cagdas Aydinoglu, 2023. "Assessment of Urban Quality of Life Index at Local Scale with Different Weighting Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(2), pages 655-678, January.
    11. Drago, Carlo & Gatto, Andrea, 2023. "Gauging energy poverty in developing countries with a composite metric of electricity access," Utilities Policy, Elsevier, vol. 81(C).
    12. Biggeri, Mario & Clark, David A. & Ferrannini, Andrea & Mauro, Vincenzo, 2019. "Tracking the SDGs in an ‘integrated’ manner: A proposal for a new index to capture synergies and trade-offs between and within goals," World Development, Elsevier, vol. 122(C), pages 628-647.
    13. Bana e Costa, Carlos A. & Oliveira, Mónica D. & Vieira, Ana C.L. & Freitas, Liliana & Rodrigues, Teresa C. & Bana e Costa, João & Freitas, Ângela & Santana, Paula, 2023. "Collaborative development of composite indices from qualitative value judgements: The EURO-HEALTHY Population Health Index model," European Journal of Operational Research, Elsevier, vol. 305(1), pages 475-492.
    14. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    15. Matheus Pereira Libório & Lívia Maria Leite Silva & Petr Iakovlevitch Ekel & Letícia Ribeiro Figueiredo & Patrícia Bernardes, 2022. "Consensus-Based Sub-Indicator Weighting Approach: Constructing Composite Indicators Compatible with Expert Opinion," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1073-1099, December.
    16. Matheus Pereira Libório & João Francisco Abreu & Petr Iakovlevitch Ekel & Alexei Manso Correa Machado, 2023. "Effect of sub-indicator weighting schemes on the spatial dependence of multidimensional phenomena," Journal of Geographical Systems, Springer, vol. 25(2), pages 185-211, April.
    17. Jaime Moll de Alba & Valentin Todorov, 2023. "Measuring green industrial performance: a regional outlook of Eastern Asia and Europe," Economic Change and Restructuring, Springer, vol. 56(5), pages 3281-3307, October.
    18. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2019. "The Ordinal Input for Cardinal Output Approach of Non-compensatory Composite Indicators: The PROMETHEE Scoring Method," MPRA Paper 95816, University Library of Munich, Germany.
    19. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2021. "The ordinal input for cardinal output approach of non-compensatory composite indicators: the PROMETHEE scoring method," European Journal of Operational Research, Elsevier, vol. 288(1), pages 225-246.
    20. Van Puyenbroeck, Tom & Montalto, Valentina & Saisana, Michaela, 2021. "Benchmarking culture in Europe: A data envelopment analysis approach to identify city-specific strengths," European Journal of Operational Research, Elsevier, vol. 288(2), pages 584-597.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-03851980. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.