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

  • Paola Monari
  • Matilde Bini
  • Domenico Piccolo
  • Luigi Salmaso
Conference proceedings

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

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Matilde Bini, Paola Monari, Domenico Piccolo, Luigi Salmaso
    Pages 1-16
  3. Silvia Cagnone, Stefania Mignani, Irini Moustaki
    Pages 17-28
  4. Mariagiulia Matteucci, Stefania Mignani, Bernard P. Veldkamp
    Pages 29-45
  5. Estela Bee Dagum, Silvia Bianconcini, Paola Monari
    Pages 47-60
  6. Marcella Corduas, Maria Iannario, Domenico Piccolo
    Pages 99-117
  7. Rossella Berni, Riccardo Rivello
    Pages 119-137
  8. Matilde Bini, Bruno Bertaccini, Silvia Bacci
    Pages 139-160
  9. Stefano Bonnini, Livio Corain, Luigi Salmaso, Antonio Cordellina, Anna Crestana, Remigio Musci
    Pages 161-179
  10. Dario Basso, Fortunato Pesarin, Luigi Salmaso
    Pages 193-208
  11. Back Matter
    Pages 1-17

About these proceedings


The book presents statistical methods and models that can usefully support the evaluation of educational services and quality of products. The evaluation of educational services, as well as the analysis of judgments and preferences, poses severe methodological challenges because of the presence of the following aspects: the observational nature of the context, which is associated with the problems of selection bias and presence of nuisance factors; the hierarchical structure of the data (multilevel analysis); the multivariate and qualitative nature of the dependent variable; the presence of non observable factors, e.g. the satisfaction, calling for the use of latent variables models; the simultaneous presence of components of pleasure and components of uncertainty in the explication of the judgments, that asks for the specification and estimation of mixture models. The contributions concern methodological advances developed mostly with reference to specific problems of evaluation using real data sets.


Evaluation Forward Search Item Latent Variables Latent variable model Mixture Models Multilevel Models Observable Permutation Tests Statistical Method multilevel analysis

Editors and affiliations

  • Paola Monari
    • 1
  • Matilde Bini
    • 2
  • Domenico Piccolo
    • 3
  • Luigi Salmaso
    • 4
  1. 1.Dept. Statistical ScienceUniversity of BolognaBolognaItaly
  2. 2.Dipto. Statistica, G. ParentiUniversità FirenzeFirenzeItaly
  3. 3.Fac. Scienze Politiche, Dipto. Scienze StatisticheUniversità di Napoli Federico IINapoliItaly
  4. 4.Department of Management and, EngineeringUniversity of PadovaVicenzaItaly

Bibliographic information