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Modelli a Equazioni Strutturali per la Valutazione dell'Esperienza Universitaria nell'Ateneo Fiorentino
[Structural Equation Models for the assessment of the University experience at the University of Florence]


  • Parrini, Alessandro
  • Doretti, Marco
  • Lapini, Gabriele


Every student who has studied at the University of Florence is supposed to fill in a questionnaire prepared by the interuniversity consortium "Almalaurea". This survey concerns the general quality of the college and makes it possible to express the level of satisfaction about many aspects of the University experience. In this paper we wish to evaluate the relationship between observed variables and latent variables of interest: The structural equation models (SEM) is the methodology which suits best our needs. By means of a SEM we aim at building a model that reproduces the determinants of students’ satisfaction. Like any other statistical tool, the SEM is not suitable for causal analysis. However, under certain assumptions, it turns out that the model employed is an adequate representation of the reality under study.

Suggested Citation

  • Parrini, Alessandro & Doretti, Marco & Lapini, Gabriele, 2010. "Modelli a Equazioni Strutturali per la Valutazione dell'Esperienza Universitaria nell'Ateneo Fiorentino
    [Structural Equation Models for the assessment of the University experience at the University
    ," MPRA Paper 43412, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:43412

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    References listed on IDEAS

    1. O'Loughlin, Christina & Coenders, Germà, 2002. "Application of the European Customer Satisfaction Index to Postal Services. Structural Equation Models versus Partial Least Squares," Working Papers of the Department of Economics, University of Girona 4, Department of Economics, University of Girona.
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    More about this item


    Structural Equation Models (SEM); Latent Variables; Customer Satisfaction;

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables


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