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XML DDI-C 2.5 Documentation for study SN207-1.1 UniData - Bicocca Data Archive UniData metadata records are licensed under a Creative Commons Attribution-Noncommercial 3.0 Italian License Digital Well-Being - Parental Phubbing (2018) Benessere Digitale - Parental Phubbing (2018) SN20710.20366/unimib/unidata/SN207-1.1 Gui, Marco Gerosa, Tiziano Pancani, Luca Riva, Paolo 2019-12-10 UniData - Bicocca Data Archive UniData - Bicocca Data Archive social disconnectionchild-parents relationsphubbing INFORMATION AND COMMUNICATION - information societySCIENCE AND TECHNOLOGY - information technologySOCIAL STRATIFICATION AND GROUPINGS - youthSOCIETY AND CULTURE - social behaviour and attitudes Digital Well-Being - Parental Phubbing is a cross-sectional database extracted from the second wave of data collection of the Digital Well-being - Schools project, funded by the University of Milano-Bicocca (Innovation Project Grant). The invitation to take part in this project was extended to all the high school in the territorial areas 23, 27 and 28 of the provinces of Milan and Monza-Brianza (Lombardy region, Northern Italy). At the end of the recruitment process, 18 out of 42 schools signed the training agreement, with a final enrollment rate of 43%. In May 2018, all the students at grade 10 (15-16 years old) of the 18 participating schools were surveyed through a CAWI methodology (Computer Assisted Web Interviewing) under the supervision of external observers. The questionnaire was finally administered to 3,289 participants located in 171 classes, achieving a total response rate of 90%. The dataset refers to an extract from the original questionnaire and provide detailed information on students perceived parental phubbing, social disconnection, and a set of socio-demographic and school related characteristics. Thanks to this dataset, the authors developed a brief and psychometrically valid scale to assess parental phubbing in adolescents, the Parental Phubbing Scale (PPS). Indeed, the PPS measures perceived phubbing distinctly and separately from each parent and, at the same time, these two dimensions jointly measure the overall dimension of parental phubbing. Italy Province of MilanoProvince of Monza e Brianza individual Students enrolled in the academic year 2017-2018 at all high school in the territorial areas 23 (Province of Milan), 27 and 28 (Province of Monza-Brianza) individual data cross-section 3,289 individuals. Convenience sampling based on a voluntary acceptance. The sampling involved 3 stage enrollment procedure: 1) sending information material about the project to all the schools included in the three territorial areas and the subsequent acquisition of the expression of interest to participate in the study; 2) presentation of the project to the schools that showed an interest in participation; 3) formal acceptance to the project – and then the official involvement of the students – through the signing of the training agreement. web-based self-administered questionnaire (CAWI) Data are released for research and teaching purposes only and are subject to authorization. The redistribution to the third party, even in partial form, of data is not allowed. Please, contact <a href="mailto:unidata@unimib.it">UniData's archive</a> in order to data access. Gui, Marco; Gerosa, Tiziano; Pancani, Luca; Riva, Paolo. (2018) Digital Well-Being - Parental Phubbing. UniData - Bicocca Data Archive, Milan. Study Number SN207. Data file version 1.1 doi:10.20366/unimib/unidata/SN207-1.1 The user is obliged to quote all data and documents disseminated by UniData and used in the own publications, using the information previously showed. The user is also obliged to send UniData the bibliographic citations related to the publications where the requested data and documents are used Methodological Notes Pancani, L., Gerosa, T., Gui, M., & Riva, P. (2021). “Mom, dad, look at me”: The development of the Parental Phubbing Scale. Journal of Social and Personal Relationships, 38(2), 435–458. https://doi.org/10.1177/0265407520964866 http://oai.unidata.unimib.it/v0/oai SN207 2022-09-06T12:31:40Z ddi:codebook:2_5