IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v59y2025i1d10.1007_s11135-024-01955-1.html
   My bibliography  Save this article

The scope of consensual deprivation indices for Mexico: reliability, criterion validity and invariance analyses

Author

Listed:
  • Hector Najera

    (Universidad Nacional Autónoma de México)

  • Delfino Vargas

    (Universidad Nacional Autónoma de México)

  • Fernando Cortés

    (Universidad Nacional Autónoma de México)

Abstract

Relative deprivation theory has been successfully and consistently applied for measuring poverty in many developed countries and to less extent in developing countries. This study uses data from two rounds from the ENCOVID19 survey and structural equation modelling to analyse from an empirical perspective the scope of the relative deprivation theory and the consensual approach to measure poverty in Mexico. The study employs an array of latent variable modelling methods to assess the degree of measurement error (reliability), criterion validity, and measurement invariance between two time points. The results show that the amount of error is satisfactorily low, and that the scores of the relative deprivation index lead to a reliable and valid classification of the poor and the not poor groups. The findings are consistent with recent calls made by the conceptual and empirical literature about the need of updating poverty data to improve the quality of the measurement of poverty.

Suggested Citation

  • Hector Najera & Delfino Vargas & Fernando Cortés, 2025. "The scope of consensual deprivation indices for Mexico: reliability, criterion validity and invariance analyses," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(1), pages 711-737, February.
  • Handle: RePEc:spr:qualqt:v:59:y:2025:i:1:d:10.1007_s11135-024-01955-1
    DOI: 10.1007/s11135-024-01955-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-024-01955-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-024-01955-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Samuel Green & Yanyun Yang, 2009. "Reliability of Summed Item Scores Using Structural Equation Modeling: An Alternative to Coefficient Alpha," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 155-167, March.
    2. Alkire, Sabina & Foster, James & Seth, Suman & Santos, Maria Emma & Roche, Jose Manuel & Ballon, Paola, 2015. "Multidimensional Poverty Measurement and Analysis," OUP Catalogue, Oxford University Press, number 9780199689491, Decembrie.
    3. Feres, Juan Carlos & Mancero, Xavier, 2000. "El método de las necesidades básicas insatisfechas (NBI) y sus aplicaciones en América Latina," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 31527, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    4. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, Jose M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers ophiwp090_ch9.pdf, Queen Elizabeth House, University of Oxford.
    5. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers ophiwp088_ch7.pdf, Queen Elizabeth House, University of Oxford.
    6. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
    7. Coltman, Tim & Devinney, Timothy M. & Midgley, David F. & Venaik, Sunil, 2008. "Formative versus reflective measurement models: Two applications of formative measurement," Journal of Business Research, Elsevier, vol. 61(12), pages 1250-1262, December.
    8. Vollmer, Frank & Alkire, Sabina, 2022. "Consolidating and improving the assets indicator in the global Multidimensional Poverty Index," World Development, Elsevier, vol. 158(C).
    9. Saunders, P. & Bradbury, B., 1991. "Some Australian Evidence on the Consensual Approach to Poverty Measurement," Economic Analysis and Policy, Elsevier, vol. 21(1), pages 47-78.
    10. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework," OPHI Working Papers 83, Queen Elizabeth House, University of Oxford.
    11. Townsend, Peter, 1985. "A Sociological Approach to the Measurement of Poverty--A Rejoinder [Poor, Relatively Speaking]," Oxford Economic Papers, Oxford University Press, vol. 37(4), pages 659-668, December.
    12. Shailen Nandy & Marco Pomati, 2015. "Applying the Consensual Method of Estimating Poverty in a Low Income African Setting," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(3), pages 693-726, December.
    13. Ledyard Tucker & Charles Lewis, 1973. "A reliability coefficient for maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 1-10, March.
    14. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    15. Geranda Notten & Julie Kaplan, 2021. "Material Deprivation: Measuring Poverty by Counting Necessities Households Cannot Afford," Canadian Public Policy, University of Toronto Press, vol. 47(1), pages 1-17, March.
    16. Maria Emma Santos & Pablo Villatoro, 2020. "The Importance of Reliability in the Multidimensional Poverty Index for Latin America (MPI-LA)," Journal of Development Studies, Taylor & Francis Journals, vol. 56(9), pages 1784-1789, July.
    17. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers 90, Queen Elizabeth House, University of Oxford.
    18. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework," OPHI Working Papers ophiwp083_ch2.pdf, Queen Elizabeth House, University of Oxford.
    19. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers 88, Queen Elizabeth House, University of Oxford.
    20. Héctor E. Nájera Catalán & David Gordon, 2020. "The Importance of Reliability and Construct Validity in Multidimensional Poverty Measurement: An Illustration Using the Multidimensional Poverty Index for Latin America (MPI-LA)," Journal of Development Studies, Taylor & Francis Journals, vol. 56(9), pages 1763-1783, July.
    21. Héctor Nájera & David Gordon, 2023. "A Monte Carlo Study of Some Empirical Methods to Find the Optimal Poverty Line in Multidimensional Poverty Measurement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 391-419, June.
    22. Richard Zinbarg & William Revelle & Iftah Yovel & Wen Li, 2005. "Cronbach’s α, Revelle’s β, and Mcdonald’s ω H : their relations with each other and two alternative conceptualizations of reliability," Psychometrika, Springer;The Psychometric Society, vol. 70(1), pages 123-133, March.
    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. Nick Bailey & Anne-Catherine Guio, 2022. "Adaptive Deprivation Scales in a Multi-National Context: The European Child Deprivation Indicators," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(6), pages 2335-2362, December.
    2. Decerf,Benoit Marie A & Ferrando,Mery & Quinn,Natalie N., 2021. "Global Income Poverty Measurement with Preference Heterogeneity : Theory and Application," Policy Research Working Paper Series 9844, The World Bank.
    3. Carlo Cavicchia & Maurizio Vichi, 2021. "Statistical Model-Based Composite Indicators for Tracking Coherent Policy Conclusions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 449-479, August.
    4. Ricz, Judit & Deák, Ágnes, 2022. "A többdimenziós szegénység mérése - latin-amerikai tapasztalatok [Measurement of multidimensional poverty: Latin American experiences]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 389-412.
    5. Carla Arévalo and Jorge Paz, 2015. "Pobreza en la Argentina. Privaciones múltiples y asimetrías regionales," Working Papers 15, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
    6. Héctor Nájera & David Gordon, 2023. "A Monte Carlo Study of Some Empirical Methods to Find the Optimal Poverty Line in Multidimensional Poverty Measurement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 391-419, June.
    7. Abre-Rehmat Qurat-ul-Ann & Faisal Mehmood Mirza, 2021. "Multidimensional Energy Poverty in Pakistan: Empirical Evidence from Household Level Micro Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 211-258, May.
    8. Tavares, Fernando Flores & Betti, Gianni, 2021. "The pandemic of poverty, vulnerability, and COVID-19: Evidence from a fuzzy multidimensional analysis of deprivations in Brazil," World Development, Elsevier, vol. 139(C).
    9. Gaurav Datt, 2019. "Multidimensional poverty in the Philippines, 2004–2013: How much do choices for weighting, identification and aggregation matter?," Empirical Economics, Springer, vol. 57(4), pages 1103-1128, October.
    10. Dutta, Indranil & Nogales, Ricardo & Yalonetzky, Gaston, 2021. "Endogenous weights and multidimensional poverty: A cautionary tale," Journal of Development Economics, Elsevier, vol. 151(C).
    11. Brandolini, Andrea & Micklewright, John, 2020. "Tony Atkinson's New Book, Measuring Poverty around the World: Some Further Reflections," IZA Discussion Papers 12890, Institute of Labor Economics (IZA).
    12. Najam, Zaira, 2020. "The Sensitivity of Poverty Trends to Dimensionality and Distribution Sensitivity in Poverty Measures - District Level Analysis for Pakistan," MPRA Paper 102383, University Library of Munich, Germany.
    13. Bénédicte Apouey & David Madden, 2023. "Health poverty," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 19, pages 202-211, Edward Elgar Publishing.
    14. Cecilia Njoroge & Anja Smith & Marisa von Fintel, 2024. "Inequalities in Water Insecurity in Kenya: A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(1), pages 171-193, October.
    15. Shatakshee Dhongde & Robert Haveman, 2022. "Spatial and Temporal Trends in Multidimensional Poverty in the United States over the Last Decade," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 447-472, August.
    16. Knar Khachatryan & Aleksandr Grigoryan, 2024. "Multidimensional Deprivation from Labor Market Opportunities in Armenia: Evidence from 2018 and 2020," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 66(1), pages 126-165, March.
    17. Burhan Can Karahasan & Fırat Bilgel, 2021. "The Topography and Sources of Multidimensional Poverty in Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 413-445, April.
    18. Isaac Koomson & Raymond Elikplim Kofinti & Esther Laryea, 2024. "Financial inclusion and multidimensional child poverty," Review of Economics of the Household, Springer, vol. 22(1), pages 237-260, March.
    19. Alkire, Sabina & Oldiges, Christian & Kanagaratnam, Usha, 2021. "Examining multidimensional poverty reduction in India 2005/6–2015/16: Insights and oversights of the headcount ratio," World Development, Elsevier, vol. 142(C).
    20. Lokshin,Michael M. & Widmar,Eduardo Martin, 2023. "Toward Environmentally Sustainable Public Institutions : The Green Government IT Index," Policy Research Working Paper Series 10361, The World Bank.

    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:spr:qualqt:v:59:y:2025:i:1:d:10.1007_s11135-024-01955-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.