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Mariagiulia Matteucci

Personal Details

First Name:Mariagiulia
Middle Name:
Last Name:Matteucci
Suffix:
RePEc Short-ID:pma3490
[This author has chosen not to make the email address public]
https://www.unibo.it/sitoweb/m.matteucci/en

Affiliation

Dipartimento di Scienze Statistiche "Paolo Fortunati"
Alma Mater Studiorum - Università di Bologna

Bologna, Italy
http://www.stat.unibo.it/
RePEc:edi:dsbolit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Mariagiulia Matteucci, 2013. "Seventh International Workshop on Simulation, 21-25 May, 2013, Department of Statistical Sciences, Unit of Rimini, University of Bologna, Italy. Book of Abstracts," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.

Articles

  1. Luca Bungaro & Marta Desimoni & Mariagiulia Matteucci & Stefania Mignani, 2024. "Jointly exploring mathematics ability and speed in large-scale computer-based testing," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(5), pages 1429-1450, November.
  2. Giada Spaccapanico Proietti & Mariagiulia Matteucci & Stefania Mignani & Bernard P. Veldkamp, 2024. "Chance-Constrained Automated Test Assembly," Journal of Educational and Behavioral Statistics, , vol. 49(1), pages 92-120, February.
  3. Ida D’Attoma & Mariagiulia Matteucci, 2024. "Multidimensional poverty: an analysis of definitions, measurement tools, applications and their evolution over time through a systematic review of the literature up to 2019," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3171-3213, August.
  4. Valentina Sansivieri & Marie Wiberg & Mariagiulia Matteucci, 2017. "A Review of Test Equating Methods with a Special Focus on IRT-Based Approaches," Statistica, Department of Statistics, University of Bologna, vol. 77(4), pages 329-352.
  5. 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.
  6. Mariagiulia Matteucci & Stefania Mignani, 2014. "Exploring Regional Differences in the Reading Competencies of Italian Students," Evaluation Review, , vol. 38(3), pages 251-290, June.
  7. Mariagiulia Matteucci & Bernard Veldkamp, 2013. "On the use of MCMC computerized adaptive testing with empirical prior information to improve efficiency," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(2), pages 243-267, June.
  8. Mariagiulia Matteucci & Stefania Mignani & Bernard P. Veldkamp, 2012. "The use of predicted values for item parameters in item response theory models: an application in intelligence tests," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(12), pages 2665-2683, August.
  9. Mariagiulia Matteucci & Luisa Stracqualursi, 2006. "Student assessment via graded response model," Statistica, Department of Statistics, University of Bologna, vol. 66(4), pages 435-447.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Valentina Sansivieri & Marie Wiberg & Mariagiulia Matteucci, 2017. "A Review of Test Equating Methods with a Special Focus on IRT-Based Approaches," Statistica, Department of Statistics, University of Bologna, vol. 77(4), pages 329-352.

    Cited by:

    1. Alexander Robitzsch, 2023. "Comparing Robust Linking and Regularized Estimation for Linking Two Groups in the 1PL and 2PL Models in the Presence of Sparse Uniform Differential Item Functioning," Stats, MDPI, vol. 6(1), pages 1-17, January.
    2. Alexander Robitzsch, 2020. "L p Loss Functions in Invariance Alignment and Haberman Linking with Few or Many Groups," Stats, MDPI, vol. 3(3), pages 1-38, August.
    3. Alexander Robitzsch, 2024. "Bias-Reduced Haebara and Stocking–Lord Linking," J, MDPI, vol. 7(3), pages 1-12, September.
    4. Alexander Robitzsch, 2025. "Comparing Robust Haberman Linking and Invariance Alignment," Stats, MDPI, vol. 8(1), pages 1-15, January.
    5. Alexander Robitzsch, 2024. "Extensions to Mean–Geometric Mean Linking," Mathematics, MDPI, vol. 13(1), pages 1-14, December.

  2. 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.

    Cited by:

    1. Francesca Fortuna & Fabrizio Maturo, 2019. "K-means clustering of item characteristic curves and item information curves via functional principal component analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2291-2304, September.

  3. Mariagiulia Matteucci & Stefania Mignani, 2014. "Exploring Regional Differences in the Reading Competencies of Italian Students," Evaluation Review, , vol. 38(3), pages 251-290, June.

    Cited by:

    1. Masci, Chiara & Ieva, Francesca & Agasisti, Tommaso & Paganoni, Anna Maria, 2016. "Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students," Socio-Economic Planning Sciences, Elsevier, vol. 54(C), pages 47-57.
    2. Ralph Hippe & Maciej Jakubowski & Luisa De Sousa Lobo Borges de Araujo, 2018. "Regional inequalities in PISA: the case of Italy and Spain," JRC Research Reports JRC109057, Joint Research Centre.
    3. Al Mujtabe, Abdullah & Rahman, Shohanur & Sheikh, Limon & Adri, Neelopal & Waliullah,, 2024. "Service Accessibility and Corresponding Impact on Livelihood Strategies: A Study on Rural Bangladesh," SocArXiv 3789u_v1, Center for Open Science.
    4. Antonella D’Agostino & Francesco Schirripa Spagnolo & Nicola Salvati, 2022. "Studying the relationship between anxiety and school achievement: evidence from PISA data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 1-20, March.
    5. Al Mujtabe, Abdullah & Rahman, Shohanur & Sheikh, Limon & Adri, Neelopal & Waliullah,, 2024. "Service Accessibility and Corresponding Impact on Livelihood Strategies: A Study on Rural Bangladesh," SocArXiv 3789u, Center for Open Science.
    6. Orazio Giancola & Luca Salmieri, 2020. "Family Background, School-Track and Macro-Area: the Complex Chains of Education Inequalities in Italy," Working Papers 4/20, Sapienza University of Rome, DISS.
    7. Camanho, Ana S. & Varriale, Luisa & Barbosa, Flávia & Sobral, Thiago, 2021. "Performance assessment of upper secondary schools in Italian regions using a circular pseudo-Malmquist index," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1188-1208.
    8. Francesco Schirripa Spagnolo & Nicola Salvati & Antonella D’Agostino & Ides Nicaise, 2020. "The use of sampling weights in M‐quantile random‐effects regression: an application to Programme for International Student Assessment mathematics scores," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 991-1012, August.

  4. Mariagiulia Matteucci & Stefania Mignani & Bernard P. Veldkamp, 2012. "The use of predicted values for item parameters in item response theory models: an application in intelligence tests," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(12), pages 2665-2683, August.

    Cited by:

    1. Federico Andreis & Pier Alda Ferrari, 2014. "Multidimensional item response theory models for dichotomous data in customer satisfaction evaluation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(9), pages 2044-2055, September.

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