Analyzing Undergraduate Student Graduation Delay: A Longitudinal Perspective

  • Paola Costantini
  • Maria Prosperina Vitale
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)


In Italy the number of years in which undergraduate students should complete their education programme is established by law. However, many students obtain their degree after the expected time: a well-known issue affecting numerous Italian universities. In 1999, therefore, the Italian government introduced a reform that, among other aims, intended to reduce the gap between the average number of years in which a student completed the education programme and the official deadline established by the university regulations.


Standardize Root Mean Square Residual Level Degree Student Career High Education Degree European Credit Transfer System 
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The authors wish to thank Giovanni C. Porzio for his useful discussion on the case study model.


  1. 1.
    Almalaurea (2008) Profilo dei laureati 2008: I laureati dell’Università Riformata,
  2. 2.
    Bianconcini S, Cagnone S, Mignani S, Monari P (2007) La riuscita del percorso universitario: un’analisi longitudinale sugli studenti dell’Ateneo di Bologna. Rivista di Economia e Statistica del Territorio 3:25–38Google Scholar
  3. 3.
    Bianconcini S, Mignani S (2008) Latent variable models for longitudinal data in educational studies. Atti della XLIV Riunione Scientifica, Società Italiana di Statistica, pp 225–232Google Scholar
  4. 4.
    Boero G, Laureti T, Naylor RA (2005) An econometric analysis of student withdrawal and progression in post-reform Italian Universities. Working paper CRENoS Centro Ricerche Economiche Nord Sud, Università di Cagliari, Università di SassariGoogle Scholar
  5. 5.
    Bollen KA, Curran PJ (2004) Autoregressive latent trajectories (ALT) models: a synthesis of two traditions. Sociol Methods Res 32:336–383CrossRefGoogle Scholar
  6. 6.
    Bollen KA, Curran PJ (2006) Latent curve models: a structural equation perspective. Wiley Interscience, Hoboken, NJGoogle Scholar
  7. 7.
    Bollen KA, Paxton P, Curran PJ, Kirby GB (2001) Improper solutions in structural equation models. Causes, consequences and strategies. Sociol Methods Res 29:468–508CrossRefGoogle Scholar
  8. 8.
    Boscaino G, Capursi V, Giambona F (2007) La performance delle carriere di una coorte di studenti universitari. Working Paper n.2007.1, Dipartimento di Scienze Statistiche e Matematiche S. Vianelli, Università di PalermoGoogle Scholar
  9. 9.
    CILEA (2007) Laureati Stella. Rapporto statistico 2004–2006. Arti Grafiche BTZ, Cologna Monzese, MilanoGoogle Scholar
  10. 10.
    CNVSU (2007) Ottavo Rapporto sullo Stato del Sistema Universitario. Rilevazione Nuclei 2007,
  11. 11.
    Costantini P (2007) Analyzing learning effects thought latent growth models. In: Book of short paper of classification and data analysis. Eum, Macerata, pp 319–322Google Scholar
  12. 12.
    Costantini P (2008) Nonlinear latent curve models. PhD thesis, Dipartimento di Scienze Economiche, Università di CassinoGoogle Scholar
  13. 13.
    Duncan TE, Duncan SC, Stoolmiller M (1994) Modeling developmental processes using latent growth structural equation methodology. Appl Psychol Meas 18:343–354CrossRefGoogle Scholar
  14. 14.
    Lawrence FR, Hancock GR (1998) Assessing change over time using latent growth modeling. Meas Eval Couns Devel 30:211–223Google Scholar
  15. 15.
    McNabb R, Sarmistha P, Sloane P (2002) Gender differences in student attainment: the case of university students in the UK. Economica 69:481–503CrossRefGoogle Scholar
  16. 16.
    Meredith WM, Tisak J (1990) Latent curve analysis. Psychometrika 55:107–122CrossRefGoogle Scholar
  17. 17.
    OECD Indicators (2007) Education at a Glance 2007,
  18. 18.
    Rogosa DR, Willett JB (1985) Understanding correlates of change by modeling individual differences in growth. Psychometrika 50:203–228CrossRefGoogle Scholar
  19. 19.
    Schizzerotto A, Denti F (2005) Perduti e in ritardo. L’esperienza dell’abbandono e dell’irregolarita’ degli studi in cinque leve di immatricolati all’ateneo di Milano-Bicocca. Nota del Nucleo di Valutazione, Università di Milano-BicoccaGoogle Scholar
  20. 20.
    Smith J, Naylor RA (2001) Determinants of degree performance in UK universities: a statistical analysis of the 1993 student cohort. Oxf Bull Econ Stat 63:29–60CrossRefGoogle Scholar
  21. 21.
    Smith J, Naylor R (2005) Schooling effects on subsequent university performance: evidence for the UK university population. Econ Educ Rev 24:549–562CrossRefGoogle Scholar
  22. 22.
    Stoel RD, van Den Wittenboer G, Hox J (2003) Analyzing longitudinal data using multilevel regression and latent growth curve analysis. Metodologia de las Ciencias del Comportamiento, 5:21–42Google Scholar
  23. 23.
    Willett JB, Sayer AG (1994) Using covariance structure analysis to detect correlates and predictors of individual change over time. Psychol Bull 116:363–381CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Dipartimento di EconomiaUniversità di CassinoCassinoItaly
  2. 2.Dipartimento di EconomiaUniversitá di SalernoFiscianoItaly

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