IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v50y2016i2p471-490.html
   My bibliography  Save this article

Attitudes towards Roma people and migrants: a comparison through a Bayesian multidimensional IRT model

Author

Listed:
  • Lara Fontanella
  • Paola Villano
  • Marika Di Donato

Abstract

In the context of social psychological research on relations between cultural defined groups, the main topics of interest include ethnic prejudice, attitudes and stereotypes. In the present study, in order to measure and compare attitudes towards Roma people and migrants and to investigate how these attitudes vary according to individual characteristics, we develop an integrated model which embeds a multidimensional Item Response Theory model for polytomous data into a structural equation formulation. Item and person parameters and structural coefficients are estimated on data collected through a web survey. Full probabilistic inference is performed by applying Markov chain Monte Carlo techniques. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Lara Fontanella & Paola Villano & Marika Di Donato, 2016. "Attitudes towards Roma people and migrants: a comparison through a Bayesian multidimensional IRT model," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 471-490, March.
  • Handle: RePEc:spr:qualqt:v:50:y:2016:i:2:p:471-490
    DOI: 10.1007/s11135-014-0158-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-014-0158-9
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11135-014-0158-9?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. A. Béguin & C. Glas, 2001. "MCMC estimation and some model-fit analysis of multidimensional IRT models," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 541-561, December.
    2. Martine Selm & Nicholas Jankowski, 2006. "Conducting Online Surveys," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(3), pages 435-456, June.
    3. Martijn Jong & Jan-Benedict Steenkamp, 2010. "Finite Mixture Multilevel Multidimensional Ordinal IRT Models for Large Scale Cross-Cultural Research," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 3-32, March.
    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. Mary F. Zhang & Julie Selwyn, 2020. "The Subjective Well-Being of Children and Young People in out of Home Care: Psychometric Analyses of the “Your Life, your Care” Survey," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(5), pages 1549-1572, October.

    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. Padilla, Juan L. & Azevedo, Caio L.N. & Lachos, Victor H., 2018. "Multidimensional multiple group IRT models with skew normal latent trait distributions," Journal of Multivariate Analysis, Elsevier, vol. 167(C), pages 250-268.
    2. Lara Fontanella & Annalina Sarra & Pasquale Valentini & Simone Zio & Sara Fontanella, 2018. "Varying levels of anomie in Europe: a multilevel analysis based on multidimensional IRT models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(4), pages 589-610, October.
    3. Lara Fontanella & Annalina Sarra & Simone Di Zio & Pasquale Valentini, 2016. "A hierarchical generalised Bayesian SEM to assess quality of democracy in Europe," METRON, Springer;Sapienza Università di Roma, vol. 74(1), pages 117-138, April.
    4. de Leeuw, Jan, 2006. "Principal component analysis of binary data by iterated singular value decomposition," Computational Statistics & Data Analysis, Elsevier, vol. 50(1), pages 21-39, January.
    5. Steven Andrew Culpepper & James Joseph Balamuta, 2017. "A Hierarchical Model for Accuracy and Choice on Standardized Tests," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 820-845, September.
    6. Morenike Oluwatoyin Folayan & Roberto Ariel Abeldaño Zuniga & Oliver C. Ezechi & Brandon Brown & Annie L. Nguyen & Nourhan M. Aly & Passent Ellakany & Ifeoma E. Idigbe & Abeedha Tu-Allah Khan & Folake, 2022. "Associations between Emotional Distress, Sleep Changes, Decreased Tooth Brushing Frequency, Self-Reported Oral Ulcers and SARS-Cov-2 Infection during the First Wave of the COVID-19 Pandemic: A Global ," IJERPH, MDPI, vol. 19(18), pages 1-11, September.
    7. Shannon Davis & Andrey Shevchuk & Denis Strebkov, 2014. "Pathways to Satisfaction with Work-Life Balance: The Case of Russian-Language Internet Freelancers," Journal of Family and Economic Issues, Springer, vol. 35(4), pages 542-556, December.
    8. Vicente Gea-Caballero & José Ramón Martínez-Riera & Pedro García-Martínez & Jorge Casaña-Mohedo & Isabel Antón-Solanas & María Virtudes Verdeguer-Gómez & Iván Santolaya-Arnedo & Raúl Juárez-Vela, 2021. "Study of the Strengths and Weaknesses of Nursing Work Environments in Primary Care in Spain," IJERPH, MDPI, vol. 18(2), pages 1-12, January.
    9. Vendrell-Herrero, Ferran & Bustinza, Oscar F. & Opazo-Basaez, Marco, 2021. "Information technologies and product-service innovation: The moderating role of service R&D team structure," Journal of Business Research, Elsevier, vol. 128(C), pages 673-687.
    10. Martijn G. de Jong & Jan-Benedict E. M. Steenkamp & Bernard P. Veldkamp, 2009. "A Model for the Construction of Country-Specific Yet Internationally Comparable Short-Form Marketing Scales," Marketing Science, INFORMS, vol. 28(4), pages 674-689, 07-08.
    11. Mariagiulia Matteucci & Bernard Veldkamp, 2015. "The approach of power priors for ability estimation in IRT models," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 917-926, May.
    12. Groenen, P.J.F. & Giaquinto, P. & Kiers, H.A.L., 2003. "Weighted Majorization Algorithms for Weighted Least Squares Decomposition Models," Econometric Institute Research Papers EI 2003-09, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Rolf Becker, 2023. "Short- and long-term effects of reminders on panellists’ survey participation in a probability-based panel study with a sequential mixed-mode design," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4095-4119, October.
    14. Michael Edwards, 2010. "A Markov Chain Monte Carlo Approach to Confirmatory Item Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 75(3), pages 474-497, September.
    15. Hanneke Geerlings & Cees Glas & Wim Linden, 2011. "Modeling Rule-Based Item Generation," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 337-359, April.
    16. Sun-Joo Cho & Paul Boeck & Susan Embretson & Sophia Rabe-Hesketh, 2014. "Additive Multilevel Item Structure Models with Random Residuals: Item Modeling for Explanation and Item Generation," Psychometrika, Springer;The Psychometric Society, vol. 79(1), pages 84-104, January.
    17. Andrea Serge & Johana Quiroz Montoya & Francisco Alonso & Luis Montoro, 2021. "Socioeconomic Status, Health and Lifestyle Settings as Psychosocial Risk Factors for Road Crashes in Young People: Assessing the Colombian Case," IJERPH, MDPI, vol. 18(3), pages 1-22, January.
    18. Camilleri, Silvio John & Cortis, Justine & Fenech, Maria Diandra, 2013. "Service Quality and Internet Banking: Perceptions of Maltese Retail Bank Customers," MPRA Paper 62492, University Library of Munich, Germany.
    19. Troise, Ciro & Corvello, Vincenzo & Ghobadian, Abby & O'Regan, Nicholas, 2022. "How can SMEs successfully navigate VUCA environment: The role of agility in the digital transformation era," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    20. Christian A. Gregory, 2020. "Are We Underestimating Food Insecurity? Partial Identification with a Bayesian 4-Parameter IRT Model," Journal of Classification, Springer;The Classification Society, vol. 37(3), pages 632-655, October.

    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:50:y:2016:i:2:p:471-490. 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.