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Multilevel mixture factor models for the evaluation of educational programs’ effectiveness

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Statistical Methods for the Evaluation of Educational Services and Quality of Products

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

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Abstract

Factor models aim at explaining the associations among observed random variables in terms of fewer unobserved random variables, called common factors. When data have a hierarchical structure, multilevel mixture factor models are a powerful and flexible tool useful to correctly take into account the correlation between first-level units due to the data structure, and to evaluate the presence of latent sub-populations of units with some typical profile at different levels of the analysis.

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Author information

Authors and Affiliations

  1. Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands

    Roberta Varriale

  2. Department of Statistics “G. Parenti”, University of Florence, Florence, Italy

    Roberta Varriale

  3. Department of Statistics and Mathematics Applied to Economics, University of Pisa, Via C. Ridolfi 10, 56124, Pisa, Italy

    Caterina Giusti

Authors
  1. Roberta Varriale
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  2. Caterina Giusti
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Corresponding author

Correspondence to Roberta Varriale .

Editor information

Editors and Affiliations

  1. Dept. Statistical Science, University of Bologna, Via Belle Arti 41, Bologna, 40126, Italy

    Paola Monari

  2. Dipto. Statistica, G. Parenti, Università Firenze, Viale Morgagni 59, Firenze, 50134, Italy

    Matilde Bini

  3. Fac. Scienze Politiche, Dipto. Scienze Statistiche, Università di Napoli Federico II, Via Leopoldo Rodinò 22, Napoli, 80138, Italy

    Domenico Piccolo

  4. Department of Management and, Engineering, University of Padova, Stradella San Nicola 3, Vicenza, 36100, Italy

    Luigi Salmaso

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© 2009 Physica-Verlag Heidelberg

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Varriale, R., Giusti, C. (2009). Multilevel mixture factor models for the evaluation of educational programs’ effectiveness. In: Monari, P., Bini, M., Piccolo, D., Salmaso, L. (eds) Statistical Methods for the Evaluation of Educational Services and Quality of Products. Contributions to Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2385-1_6

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