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1.
Data Brief ; 47: 109017, 2023 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-36936640

RESUMO

This data article describes the dataset of the project "edDIT: Technological corporations, digital educational platforms and guarantee of children's rights with a gender approach". This study has analysed the impact of the use of corporate digital platforms in public schools in Catalonia. A series of data were collected through an online survey, with a total sample of 2347 parents/caregivers. The description of the data contained in this article is divided into two main parts. The first one is a descriptive analysis of all the items included in the survey and has been carried out using tables and figures. The second one refers to the construction of scales. Three scales were constructed and included in the data set: 'Opinions about Educational Digital Platforms', 'Concerns about the use of the data generated on the utilisation of the digital platform' and 'Parental Engagement'. The scales were created using Confirmatory Factor Analysis (CFA) and Multigroup Confirmatory Analysis (MG-CFA). This dataset will be relevant for researchers in different fields, in particular for those interested in digital inclusion public policies and educational policies.

2.
Data Brief ; 35: 106813, 2021 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-33604430

RESUMO

This data article describes the dataset of the International COVID-19 Impact on Parental Engagement Study (ICIPES). ICIPES is a collaborative effort of more than 20 institutions to investigate the ways in which, parents and caregivers built capacity engaged with children's learning during the period of social distancing arising from global COVID-19 pandemic. A series of data were collected using an online survey conducted in 23 countries and had a total sample of 4,658 parents/caregivers. The description of the data contained in this article is divided into two main parts. The first part is a descriptive analysis of all the items included in the survey and was performed using tables and figures. The second part refers to the construction of scales. Three scales were constructed and included in the dataset: 'parental acceptance and confidence in the use of technology', 'parental engagement in children's learning' and 'socioeconomic status'. The scales were created using Confirmatory Factor Analysis (CFA) and Multi-Group Confirmatory Analysis (MG-CFA) and were adopted to evaluate their cross-cultural comparability (i.e., measurement invariance) across countries and within sub-groups. This dataset will be relevant for researchers in different fields, particularly for those interested in international comparative education.

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