Browsing by Author "Andres Sandoval-Hernandez"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
Item Survey data on the impact of COVID-19 on parental engagement across 23 countries(Universidad para el Desarrollo Andino, 2021) Martínez Contreras, Ysrael Alberto; Eliana Maria Osorio-Saez; Nurullah Eryilmaz; Andres Sandoval-Hernandez; Yui-Yip Lau; Elma Barahona; Adil Anwar Bhatti; Godfried Caesar Ofoe; Leví Astul Castro Ordóñez; Artemio Arturo Cortez Ochoa; Rafael Ángel Espinoza Pizarro; , Esther Fonseca Aguilar; Maria Magdalena Isac; K V Dhanapala; , Kalyan Kumar Kameshwara; Geberew Tulu Mekonnen; José Fernando Mejía; Catalina Miranda; Shehe Abdalla Moh'd; Ricardo Morales Ulloa; K Kayon Morgan; Thomas Lee Morgan; Sara Mori; Forti Ebenezah Nde; Silvia Panzavolta; Lluís Parcerisa; Carla Leticia Paz; Oscar Picardo; Carolina Piñeros; Pablo Rivera-Vargas; Alessia Rosa; Lina Maria Saldarriaga; Adrián Silveira Aberastury; Y M Tang; Kyoko Taniguchi; Ernesto Treviño; Carolina Valladares Celis; Cristóbal Villalobos; Dan Zhao; Allison ZiontsThis 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 con- ducted in 23 countries and had a total sample of 4,658 par- ents/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 con- structed and included in the dataset: ‘parental acceptance and confidence in the use of technology’, ‘parental engage- ment 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 dif- ferent fields, particularly for those interested in international comparative education.