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

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  • 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
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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
    16. 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.
    17. 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.
    18. 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.
    19. Vollmer, Frank & Alkire, Sabina, 2022. "Consolidating and improving the assets indicator in the global Multidimensional Poverty Index," World Development, Elsevier, vol. 158(C).
    20. 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.
    21. 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.
    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.
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