Contained in:
Book Chapter

Personal weaknesses recognized by high school students in the North-West of Italy

  • Luigi Bollani

This study is part of a project aimed at supporting the weaknesses of young people who are experiencing, or are at risk of reaching, NEET condition (Not in Education, Employment or Training; aged between 15 and 29 or 34, according to different definitions). The first signs of the extreme discomfort caused by Neet condition were sought by investigating signs of weakness in high school students in the Piedmont, Valle d'Aosta and Liguria regions. Of course students as such are not Neets and the anonymity required for a survey dealing with very personal issues does not allow a longitudinal study to be carried out on the same individuals. However, the construction of a comparison base referring to a generic population, relative to the incidence of certain states of weakness (or some of their combinations), will allow for a subsequent comparison with the incidence of the same difficulties in school age for those who find themselves in a Neet situation. A survey questionnaire was administered to 931 students, an operator being present in the classrooms, shortly before the start of the pandemic. Collected results will therefore be more directly linked to school activities "in presence", even if discontinuities in teaching methods and characteristics caused by the pandemic might have brought in alterations that will need to be monitored over time.

  • Keywords:
  • social survey,
  • high school,
  • social weakness,
+ Show More

Luigi Bollani

University of Turin, Italy - ORCID: 0000-0002-2488-3659

  1. Abdi, H.; Valentin, D. (2007). Multiple correspondence analysis, ed. N. Salkind, Encyclopedia of Measurement and Statistics, Sage Publications, Thousand Oaks, (CA), 95, pp. 116-128.
  2. AA.VV. (2020). From Neet to Need. Il cortocircuito sociale dei giovani che non studiano e non lavorano, eds. G. Lazzarini, L. Bollani, F. S. Rota, M. Santagati. Innovation Creativity Settings, Franco Angeli, Torino.
  3. Benzécri, J.P. (1973). L’Analyse des Données. Dunod, Paris.
  4. Bollani L., Rota F.S. (2018). Orientamenti per una comprensione ecosistemica dei NEET e conseguenti politiche di sostegno, EyesReg, 8,2.
  5. Escofier, B., Pagès, J. (2008). Analyses Factorielles Simples et Multiples: Objectifs, Méthodes et Interprétation; Dunod, Paris.
  6. Greenacre, M. (2017). Correspondence Analysis in Practice; Chapman and Hall, New York.
  7. Merril B., West L. (2012). Metodi biografici per la ricerca sociale, Apogeo.
  8. Nenadic, O., Greenacre, M. (2007). Correspondence analysis in R, with two-and threedimensional graphics: The ca package. Journal of Statistical Software, 20(3), pp. 1-13.
PDF
  • Publication Year: 2021
  • Pages: 55-60
  • Content License: CC BY 4.0
  • © 2021 Author(s)

XML
  • Publication Year: 2021
  • Content License: CC BY 4.0
  • © 2021 Author(s)

Chapter Information

Chapter Title

Personal weaknesses recognized by high school students in the North-West of Italy

Authors

Luigi Bollani

Language

English

DOI

10.36253/978-88-5518-461-8.11

Peer Reviewed

Publication Year

2021

Copyright Information

© 2021 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

ASA 2021 Statistics and Information Systems for Policy Evaluation

Book Subtitle

BOOK OF SHORT PAPERS of the on-site conference

Editors

Bruno Bertaccini, Luigi Fabbris, Alessandra Petrucci

Peer Reviewed

Publication Year

2021

Copyright Information

© 2021 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/978-88-5518-461-8

eISBN (pdf)

978-88-5518-461-8

eISBN (xml)

978-88-5518-462-5

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

164

Fulltext
downloads

206

Views

Export Citation

1,361

Open Access Books

in the Catalogue

2,368

Book Chapters

3,870,371

Fulltext
downloads

4,536

Authors

from 942 Research Institutions

of 66 Nations

67

scientific boards

from 357 Research Institutions

of 43 Nations

1,249

Referees

from 381 Research Institutions

of 38 Nations