IDEAS home Printed from https://ideas.repec.org/a/gam/jsoctx/v14y2024i11p238-d1522126.html
   My bibliography  Save this article

Can We Measure Social Justice? Development and Initial Validation of a Tool Measuring Social Justice Through Values

Author

Listed:
  • Marina Alexandra Tudoran

    (Sociology and Political Sciences, Doctoral School of Philosophy, West University of Timisoara, 300223 Timișoara, Romania)

  • Laurențiu Gabriel Țîru

    (Faculty of Sociology and Psychology, West University of Timisoara, 300223 Timișoara, Romania)

  • Alexandru Neagoe

    (Faculty of Sociology and Psychology, West University of Timisoara, 300223 Timișoara, Romania)

Abstract

The Social Justice Values (SJV) scale, as presented in this work, was developed to assess individuals’ attitudes and behaviors towards the values of social justice. Exploratory factor analysis and reliability analysis were employed to ascertain the validity and reliability of the SJV instrument. The investigations revealed that the scale consists of 17 items across three factors, namely, instrumental values of social justice, social terminal values of social justice, and personal terminal values of social justice. The Cronbach alpha coefficient for the entire scale was 0.893. The nomological validity of the proposed scale was assessed by testing its association with two relevant scales: Distributive Justice and Multidimensional Belief in A Just World. Although the investigations indicated that this scale is a reliable instrument for assessing social justice through values among university students, further studies are required to confirm its validity with other samples.

Suggested Citation

  • Marina Alexandra Tudoran & Laurențiu Gabriel Țîru & Alexandru Neagoe, 2024. "Can We Measure Social Justice? Development and Initial Validation of a Tool Measuring Social Justice Through Values," Societies, MDPI, vol. 14(11), pages 1-18, November.
    • Handle: RePEc:gam:jsoctx:v:14:y:2024:i:11:p:238-:d:1522126
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2075-4698/14/11/238/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2075-4698/14/11/238/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    2. Sebastian Hülle & Stefan Liebig & Meike Janina May, 2018. "Measuring Attitudes Toward Distributive Justice: The Basic Social Justice Orientations Scale," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 663-692, April.
    3. Matthew Cartabuke & James W. Westerman & Jacqueline Z. Bergman & Brian G. Whitaker & Jennifer Westerman & Rafik I. Beekun, 2019. "Empathy as an Antecedent of Social Justice Attitudes and Perceptions," Journal of Business Ethics, Springer, vol. 157(3), pages 605-615, July.
    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. Bonhomme, Stphane & Robin, Jean-Marc, 2009. "Consistent noisy independent component analysis," Journal of Econometrics, Elsevier, vol. 149(1), pages 12-25, April.
    2. Fernando Castelló-Sirvent & Pablo Pinazo-Dallenbach, 2021. "Corruption Shock in Mexico: fsQCA Analysis of Entrepreneurial Intention in University Students," Mathematics, MDPI, vol. 9(14), pages 1-31, July.
    3. Matkovskyy, Roman, 2013. "To the Problem of Financial Safety Estimation: the Index of Financial Safety of Turkey," MPRA Paper 47673, University Library of Munich, Germany.
    4. Jha, Raghbendra & Murthy, K. V. Bhanu, 2003. "An inverse global environmental Kuznets curve," Journal of Comparative Economics, Elsevier, vol. 31(2), pages 352-368, June.
    5. Rodríguez-Fuentes, Carlos Javier & Hernández-López, Montserrat, 1997. "Análisis de diferencias estructurales interregionales determinantes en el impacto de la política monetaria," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 7, pages 141-157, Junio.
    6. Khanh Duong, 2024. "Is meritocracy just? New evidence from Boolean analysis and Machine learning," Journal of Computational Social Science, Springer, vol. 7(2), pages 1795-1821, October.
    7. Ivaldi, Enrico, 2013. "Proposal of a country risk index based on a factorial analysis - Una proposta di indice di rischio paese basato sull’analisi fattoriale: una applicazione ai paesi del sud del Mediterraneo e ai paesi d," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 66(2), pages 231-249.
    8. Vesselina Dimitrova & Georgi Marinov & Lino Manosperta, 2019. "Developing Low-Carbon Tourism In Puglia: Case Study Of I. Archeo.S Project," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 2 Year 20, pages 16-32.
    9. Noor Nahar Begum & Sarabia Rahman, 2016. "An Analytical Study on Investors¡¯ Preference towards Mutual Fund Investment: A Study in Dhaka City, Bangladesh," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(10), pages 184-191, October.
    10. Coppola, A. & Ianuario, S. & Chinnici, G. & Di Vita, G. & Pappalardo, G. & D'Amico, D., 2018. "Endogenous and Exogenous Determinants of Agricultural Productivity: What Is the Most Relevant for the Competitiveness of the Italian Agricultural Systems?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    11. De Nicola, Arianna & Gitto, Simone & Mancuso, Paolo, 2013. "Airport quality and productivity changes: A Malmquist index decomposition assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 67-75.
    12. Henk Kiers, 1994. "Simplimax: Oblique rotation to an optimal target with simple structure," Psychometrika, Springer;The Psychometric Society, vol. 59(4), pages 567-579, December.
    13. Dolores Gallardo-Vázquez, 2023. "Attributes influencing responsible tourism consumer choices: Sustainable local food and drink, health-related services, and entertainment," Oeconomia Copernicana, Institute of Economic Research, vol. 14(2), pages 645-686, June.
    14. Iara Oliveira Fernandes & José Fernandes de Melo Filho & Karolina Oliveira Rocha Montenegro & Ésio de Castro Paes & Sergio Ricardo Matos Almeida & João Albany Costa & Franceli da Silva, 2024. "Physical and Chemical Attributes of Yellow Oxisol With the Application of Cassava Wastewater After Intensive Mechanical Preparation," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 11(6), pages 113-113, April.
    15. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
    16. Edyta Puskarczyk, 2020. "Application of Multivariate Statistical Methods and Artificial Neural Network for Facies Analysis from Well Logs Data: an Example of Miocene Deposits," Energies, MDPI, vol. 13(7), pages 1-18, March.
    17. Iversen, Sara V. & Naomi, van der Velden & Convery, Ian & Mansfield, Lois & Holt, Claire D.S., 2022. "Why understanding stakeholder perspectives and emotions is important in upland woodland creation – A case study from Cumbria, UK," Land Use Policy, Elsevier, vol. 114(C).
    18. Ponzoa, José M. & Gómez, Andrés & Mas, José M., 2023. "EU27 and USA institutions in the digital ecosystem: Proposal for a digital presence measurement index," Journal of Business Research, Elsevier, vol. 154(C).
    19. Thomas Despois & Catherine Doz, 2023. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 533-555, June.
    20. Silva, J.F. & Santos, J.L. & Ribeiro, P.F. & Marta-Pedroso, C. & Magalhães, M.R. & Moreira, F., 2024. "A farming systems approach to assess synergies and trade-offs among ecosystem services," Ecosystem Services, Elsevier, vol. 65(C).

    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:gam:jsoctx:v:14:y:2024:i:11:p:238-:d:1522126. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.