Digital skills among youth: a dataset from a three-wave longitudinal survey in six European countries

Machackova, Hana, Bedrosova, Marie jaron, Muzik, Michal, Zlamal, Rostislav, Fikrlova, Jana, Literova, Anna, Dufkova, Eliska, Smahel, David, Boomgaarden, Hajo, Song, Hyunjin, Tolochko, Petro, D'haenens, Leen, Joris, Willem, Kalmus, Veronika, Tikerperi, Mari-Liis, Opermann, Signe, Napp, Marit, Soidla, Indrek, Uibos, Andre, Soo, Kadri, Salmela-Aro, Katariina, Järvinen, Jussi, Mannerström, Rasmus, Suvila, Erkki, Waechter, Natalia, Brando, Christin, Kadera, Stepanka, Mascheroni, Giovanna, Cino, Davide, Lombi, Linda, Van deursen, Alexander, Van laar, Ester, Pyżalski, Jacek, Walter, Natalia, Iwanicka, Agnieszka, Ponte, Cristina, Batista, Susana, Baptista, Rita, Schneider, Luc ORCID: 0000-0001-8803-3672 and Helsper, Ellen johanna ORCID: 0000-0002-0852-2853 (2024) Digital skills among youth: a dataset from a three-wave longitudinal survey in six European countries. Data In Brief, 54. ISSN 2352-3409

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Abstract

This dataset provides longitudinal survey data from a European project, ySKILLS, which was focused on the role of digital skills in youths’ development. It contains data from 10,821 participants from Grades 6-10 (in Wave 1) in Estonia, Finland, Germany, Italy, Poland, and Portugal. The data was collected between Spring 2021 and Spring 2023, the participants were recruited through schools, where the data collection also took place, except for online data collections due to restrictions caused by COVID-19. The dataset is novel in its multidimensional approach to the construct of digital literacy. It provides insight into the development of digital skills in youth and the role of digital skills and internet usage in youths’ positive and negative online experiences and wellbeing. It also contains data that allows for the analysis of the role of digital skills in class networks. The data are beneficial for researchers interested in the examination of youths’ online skills, internet usage, online experiences, and wellbeing from a longitudinal perspective.

Item Type:	Article
Official URL:	https://www.sciencedirect.com/journal/data-in-brie...
Additional Information:	© 2024 The Author(s)
Divisions:	Management Media and Communications
Subjects:	L Education Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Date Deposited:	11 Apr 2024 09:39
Last Modified:	15 Nov 2024 05:36
URI:	http://eprints.lse.ac.uk/id/eprint/122607

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