IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/5baw8_v1.html

How Much Do We Care About Cultural Heritage? A Rasch Scale Validation Study Among Young Adult

Author

Listed:
  • Veggi, Manuele
  • von Gal, Alessandro

    (Sapienza University of Rome)

  • Piccardi, Laura
  • Pescarin, Sofia
  • Nori, Raffaella

Abstract

Research in museum studies, heritage science, and cultural tourism highlights the “care theory” as a key framework for understanding the relationship between citizens and cultural heritage. Assessing the “sense of care” toward cultural objects and sites can provide valuable insights for museums, education, and public policy. However, visitor studies lack suitable assessment tools. This study fills the gap by introducing the Scale for the Assessment of Caring for Cultural Heritage (CHARE), developed using the Rasch model. A preliminary 16-item questionnaire on visitors’ “caring behaviors” was designed through literature review and expert focus groups, then tested on young adults: statistical analysis confirms the model’s reliability. While further validation is needed, CHARE already offers a practical tool for museum practitioners to assess young visitors’ engagement and caring attitudes toward cultural heritage

Suggested Citation

  • Veggi, Manuele & von Gal, Alessandro & Piccardi, Laura & Pescarin, Sofia & Nori, Raffaella, 2025. "How Much Do We Care About Cultural Heritage? A Rasch Scale Validation Study Among Young Adult," SocArXiv 5baw8_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:5baw8_v1
    DOI: 10.31219/osf.io/5baw8_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/67f69ff5a76b54584acf68e8/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/5baw8_v1?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
    ---><---

    References listed on IDEAS

    as
    1. Bundi, Pirmin & Varone, Frédéric & Gava, Roy & Widmer, Thomas, 2018. "Self-Selection and Misreporting in Legislative Surveys," Political Science Research and Methods, Cambridge University Press, vol. 6(4), pages 771-789, October.
    2. E. Cureton, 1966. "Corrected item-test correlations," Psychometrika, Springer;The Psychometric Society, vol. 31(1), pages 93-96, March.
    3. Mair, Patrick & Hatzinger, Reinhold, 2007. "Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i09).
    4. Erling Andersen, 1973. "A goodness of fit test for the rasch model," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 123-140, 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. Yuanyuan Chen & Zhen Wang & Xiaoyu Zheng & Zhiyin Wu & Jianjun Zhu, 2022. "The Chinese version of the Maltreatment and Abuse Chronology of Exposure (MACE) scale: Psychometric properties in a sample of young adults," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-17, June.
    2. Gerhard Tutz & Gunther Schauberger, 2015. "A Penalty Approach to Differential Item Functioning in Rasch Models," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 21-43, March.
    3. Wenjia Wang & Mickaël Guedj & Viviane Bertrand & Julie Foucquier & Elisabeth Jouve & Daniel Commenges & Cécile Proust-Lima & Niall P Murphy & Olivier Blin & Laurent Magy & Daniel Cohen & Shahram Attar, 2017. "A Rasch Analysis of the Charcot-Marie-Tooth Neuropathy Score (CMTNS) in a Cohort of Charcot-Marie-Tooth Type 1A Patients," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    4. Sören Kliem & Johannes Beller & Christoph Kröger & Yve Stöbel-Richter & Kurt Hahlweg & Elmar Brähler, 2015. "A Rasch Re-Analysis of the Partnership Questionnaire," SAGE Open, , vol. 5(2), pages 21582440155, June.
    5. Clemens Draxler & Andreas Kurz & Can Gürer & Jan Philipp Nolte, 2024. "An Improved Inferential Procedure to Evaluate Item Discriminations in a Conditional Maximum Likelihood Framework," Journal of Educational and Behavioral Statistics, , vol. 49(3), pages 403-430, June.
    6. Arendasy, Martin E. & Sommer, Markus & Tschiesner, Reinhard & Feldhammer-Kahr, Martina & Umdasch, Konstantin, 2024. "Using automatic item generation to construct scheduling problems measuring planning ability," Intelligence, Elsevier, vol. 106(C).
    7. repec:osf:osfxxx:gu8sq_v1 is not listed on IDEAS
    8. Krammer, Georg, 2019. "The Andersen likelihood ratio test with a random split criterion lacks power," OSF Preprints gu8sq, Center for Open Science.
    9. César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    10. Alberto Maydeu-Olivares & Rosa Montaño, 2013. "How Should We Assess the Fit of Rasch-Type Models? Approximating the Power of Goodness-of-Fit Statistics in Categorical Data Analysis," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 116-133, January.
    11. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    12. repec:jss:jstsof:39:i08 is not listed on IDEAS
    13. Daniela Raccanello & Giada Vicentini & Elena Trifiletti & Roberto Burro, 2020. "A Rasch Analysis of the School-Related Well-Being (SRW) Scale: Measuring Well-Being in the Transition from Primary to Secondary School," IJERPH, MDPI, vol. 18(1), pages 1-17, December.
    14. Van Cauwenberghe, Sofie & Schelfhout, Stijn & Roels, Elisabeth & Heeren, Jordi & De Wachter, Lieve & Duyck, Wouter & Dirix, Nicolas, 2025. "Validating Rules: A non-verbal free fluid intelligence test," Intelligence, Elsevier, vol. 111(C).
    15. David J. Hessen, 2023. "Fitting and Testing Log-Linear Subpopulation Models with Known Support," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 917-939, September.
    16. C. Glas & Anna Dagohoy, 2007. "A Person Fit Test For Irt Models For Polytomous Items," Psychometrika, Springer;The Psychometric Society, vol. 72(2), pages 159-180, June.
    17. repec:plo:pone00:0214747 is not listed on IDEAS
    18. Frick, Hannah & Strobl, Carolin & Leisch, Friedrich & Zeileis, Achim, 2012. "Flexible Rasch Mixture Models with Package psychomix," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i07).
    19. Haruhiko Ogasawara, 2013. "Asymptotic properties of the Bayes modal estimators of item parameters in item response theory," Computational Statistics, Springer, vol. 28(6), pages 2559-2583, December.
    20. Cervantes, Víctor H., 2017. "DFIT: An R Package for Raju's Differential Functioning of Items and Tests Framework," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i05).
    21. repec:jss:jstsof:20:i01 is not listed on IDEAS
    22. repec:jss:jstsof:39:i12 is not listed on IDEAS
    23. Shrum, Trisha & Donovan, Christopher & Bloch, Sadie & Cripps, Emma & Boyson, Ceclia, 2024. "The REBL Score: A dynamic measure of pro-environmental behavior," OSF Preprints w92se, Center for Open Science.
    24. Piero Veronese & Eugenio Melilli, 2021. "Confidence Distribution for the Ability Parameter of the Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 131-166, March.
    25. Timo Bechger & Gunter Maris, 2015. "A Statistical Test for Differential Item Pair Functioning," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 317-340, June.

    More about this item

    Statistics

    Access and download statistics

    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:osf:socarx:5baw8_v1. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.