IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i15p11749-d1206588.html
   My bibliography  Save this article

Development and Validation of the Decent Work for Inclusive and Sustainable Future Construction Scale in Italy

Author

Listed:
  • Andrea Zammitti

    (Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, 35139 Padova, Italy)

  • Isabella Valbusa

    (Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, 35139 Padova, Italy)

  • Sara Santilli

    (Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, 35139 Padova, Italy)

  • Maria Cristina Ginevra

    (Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, 35139 Padova, Italy)

  • Salvatore Soresi

    (Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, 35139 Padova, Italy)

  • Laura Nota

    (Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, 35139 Padova, Italy)

Abstract

Although different assessment instruments have been developed to assess decent work, there is a need for a new instrument that takes into consideration the importance of decent work in achieving sustainable development. This article reports the development and psychometric requisites of the Decent Work for Inclusive and Sustainable Future Construction Scale, that is, a parsimonious measure regarding the perception of decent work for an inclusive and sustainable career construction. Overall, the research involved 1626 Italian adults, 740 men (45.5%) and 886 women (54.5%), aged between 16 and 76 years (M = 26.17; SD = 9.42), that were randomly involved in 1 of the 5 studies. Study 1 developed the scale and found the unidimensional structure of the scale via exploratory factor analysis (EFA). In Study 2, we confirmed the unidimensional structure of the six items based on confirmatory factor analysis (CFA). Study 3 examined the concurrent validity of the scale, finding positive correlations with meaningful work and life satisfaction. With Study 4, we provided measurement invariance across gender. Finally, Study 5 tested a model in which the tendency toward a social and equitable socio-economic view in career activities predicted decent work through career curiosity. Results provided strong psychometric support for Decent Work for Inclusive and Sustainable Future Construction Scale as a valid unidimensional instrument that, compared to the already existing scales, proposes the evaluation of decent work from a broad perspective that also looks at inclusion and sustainability.

Suggested Citation

  • Andrea Zammitti & Isabella Valbusa & Sara Santilli & Maria Cristina Ginevra & Salvatore Soresi & Laura Nota, 2023. "Development and Validation of the Decent Work for Inclusive and Sustainable Future Construction Scale in Italy," Sustainability, MDPI, vol. 15(15), pages 1-19, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11749-:d:1206588
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/15/11749/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/15/11749/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tânia FERRARO & Leonor PAIS & Nuno REBELO DOS SANTOS & João Manuel MOREIRA, 2018. "The Decent Work Questionnaire: Development and validation in two samples of knowledge workers," International Labour Review, International Labour Organization, vol. 157(2), pages 243-265, June.
    2. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    3. Li Zhao & Wei Li & Hongru Zhang, 2022. "Career Adaptability as a Strategy to Improve Sustainable Employment: A Proactive Personality Perspective," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    4. Louis Guttman, 1954. "Some necessary conditions for common-factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 19(2), pages 149-161, June.
    5. María García-Feijoo & Almudena Eizaguirre & Alvaro Rica-Aspiunza, 2020. "Systematic Review of Sustainable-Development-Goal Deployment in Business Schools," Sustainability, MDPI, vol. 12(1), pages 1-19, January.
    6. Albert Satorra & Peter Bentler, 2001. "A scaled difference chi-square test statistic for moment structure analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 507-514, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laurentiu Nicolae Pricope & Valentin Marian Antohi & Alina Meca & Angela Buboi (Danaila) & Costinela Fortea & Monica Laura Zlati, 2024. "The New European Development Scoreboard for SDG11 at the European Level," Sustainability, MDPI, vol. 16(17), pages 1-21, September.

    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. Yoo, Sun-Young & Vonk, M. Elizabeth, 2012. "The development and initial validation of the Immigrant Parental Stress Inventory (IPSI) in a sample of Korean immigrant parents," Children and Youth Services Review, Elsevier, vol. 34(5), pages 989-998.
    2. Ard H. J. den Reijer & Pieter W. Otter & Jan P. A. M. Jacobs, 2024. "An heuristic scree plot criterion for the number of factors," Statistical Papers, Springer, vol. 65(6), pages 3991-4000, August.
    3. James J. Heckman & Rodrigo Pinto, 2015. "Econometric Mediation Analyses: Identifying the Sources of Treatment Effects from Experimentally Estimated Production Technologies with Unmeasured and Mismeasured Inputs," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 6-31, February.
    4. Edoardo Saccenti & Marieke E. Timmerman, 2017. "Considering Horn’s Parallel Analysis from a Random Matrix Theory Point of View," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 186-209, March.
    5. James Heckman & Rodrigo Pinto & Peter Savelyev, 2013. "Understanding the Mechanisms through Which an Influential Early Childhood Program Boosted Adult Outcomes," American Economic Review, American Economic Association, vol. 103(6), pages 2052-2086, October.
    6. Godfred O Boateng & Shalean M Collins & Patrick Mbullo & Pauline Wekesa & Maricianah Onono & Torsten B Neilands & Sera L Young, 2018. "A novel household water insecurity scale: Procedures and psychometric analysis among postpartum women in western Kenya," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-28, June.
    7. Mohieddine Rahmouni, 2014. "Perception des obstacles aux activités d'innovation dans les entreprises tunisiennes," Revue d’économie du développement, De Boeck Université, vol. 22(3), pages 69-98.
    8. Stefan Schulenberg & Amanda Melton, 2010. "A Confirmatory Factor-Analytic Evaluation of the Purpose in Life Test: Preliminary Psychometric Support for a Replicable Two-Factor Model," Journal of Happiness Studies, Springer, vol. 11(1), pages 95-111, March.
    9. Hudson F Golino & Sacha Epskamp, 2017. "Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-26, June.
    10. Agyeman, Stephen & Cheng, Lin, 2020. "Analysis of barriers to perceived service quality in Ghana: Students’ perspectives on bus mobility attributes," Transport Policy, Elsevier, vol. 99(C), pages 63-85.
    11. Bruno Damásio & Juliana Pacico & Michele Poletto & Sílvia Koller, 2013. "Refinement and Psychometric Properties of the Eight-Item Brazilian Positive and Negative Affective Schedule for Children (PANAS-C8)," Journal of Happiness Studies, Springer, vol. 14(4), pages 1363-1378, August.
    12. Iacobucci, Dawn & Ruvio, Ayalla & Román, Sergio & Moon, Sangkil & Herr, Paul M., 2022. "How many factors in factor analysis? New insights about parallel analysis with confidence intervals," Journal of Business Research, Elsevier, vol. 139(C), pages 1026-1043.
    13. Andrea Zammitti & Giuseppe Santisi & Paola Magnano & Santo Di Nuovo, 2023. "Analyzing Attitudes to Promote Sustainability: The Adaptation of the Environmental Concern Scale (ECs) to the Italian Context," Sustainability, MDPI, vol. 15(14), pages 1-14, July.
    14. Ilaria Di Maggio & Sara Santilli & Maria Cristina Ginevra & Laura Nota, 2021. "Development and Validation of an Instrument to Assess Pro-Pensity to Cosmopolitanism in Adolescence," Sustainability, MDPI, vol. 13(15), pages 1-10, July.
    15. Ting Dai & Adam Davey, 2023. "Determining Dimensionality with Dichotomous Variables: A Monte Carlo Simulation Study and Applications to Missing Data in Longitudinal Research," Mathematics, MDPI, vol. 11(6), pages 1-25, March.
    16. Lynn Patricia Summerfield & Vicente Prado-Gascó & María del Carmen Giménez-Espert & Patricia Mesa-Gresa, 2021. "The Multicultural Personality Questionnaire (SF-40): Adaptation and Validation of the Spanish Version," IJERPH, MDPI, vol. 18(5), pages 1-15, March.
    17. Alexis Dinno, 2009. "Implementing Horn’s parallel analysis for principal component analysis and factor analysis," Stata Journal, StataCorp LP, vol. 9(2), pages 291-298, June.
    18. Golino, Hudson F. & Demetriou, Andreas, 2017. "Estimating the dimensionality of intelligence like data using Exploratory Graph Analysis," Intelligence, Elsevier, vol. 62(C), pages 54-70.
    19. Peres-Neto, Pedro R. & Jackson, Donald A. & Somers, Keith M., 2005. "How many principal components? stopping rules for determining the number of non-trivial axes revisited," Computational Statistics & Data Analysis, Elsevier, vol. 49(4), pages 974-997, June.
    20. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.

    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:jsusta:v:15:y:2023:i:15:p:11749-:d:1206588. 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.