Search
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Browse Sessions by Descriptor
Browse Papers by Descriptor
Browse Sessions by Research Method
Browse Papers by Research Method
Search Tips
Annual Meeting Housing and Travel
Personal Schedule
Change Preferences / Time Zone
Sign In
X (Twitter)
Attending early childhood programs in low-income countries can be impacted by children's socio-demographic factors, including the location where the child lives in. Using data from the Young Lives study (N= 1786), a 2-level logistic multilevel modeling was conducted to predict children's attendance in school in Peru (ages 4 and 5). Results from the study suggest that having a parent with some level of post-secondary education and living on the coast of the country were positively predictive of school attendance. On the other hand, speaking an indigenous language, household size, and spending time in play, caring for someone at home, and doing household chores were negatively predictive of attending an ECE program. Possible implications of the study for increasing access and promoting attendance to ECE programs are discussed.