Decoding the Generational Digital Divide: Profiles and Predictors of Grandparents’ Attitudes Toward Young Children’s Technology Use

Abstract

In today’s digital age, child-rearing presents unique challenges that extend across generations, impacting both parenting and grandparenting. This study investigated patterns of grandparents’ attitudes toward their grandchildren’s technology use and identified key predictors of these patterns. Utilizing latent profile analysis (LPA) with a sample of 712 grandparents from Shanghai, China, the research identified four distinct attitudinal profiles: positively supportive, cautiously observant, low-involvement reserved, highly concerned and restrictive. Multinomial logistic regression analyses revealed that the age of the grandparent, sibling status, and the frequency of communication between grandparents and parents were significant predictors of profile membership. The findings indicate that grandparents’ attitudes toward their grandchildren’s technology use reflect a combination of acceptance and concern. This study underscores the need for further research and educational supports to help grandparents develop perspectives informed by an evidence base, thereby strengthening guidance strategies for young children’s digital engagement.