We investigated the relationship between process quality in early childhood education and care (ECEC) and children’s socio-emotional development in a meta-analysis of longitudinal studies. Our multi-level meta-analysis of 31 publications reporting on 16 longitudinal studies (N = 17,913 children, age: 2.5–18 yrs) demonstrates that the process quality of ECEC is a small but significant predictor of children’s socio-emotional development over time (ES = 0.103, SE = 0.026, p < 0.001, 95% CI: 0.052–0.155). This longitudinal association extends to the age of 18 years in our sample. Process quality of ECEC is, thus, a significant and stable predictor of children’s socio-emotional development and well-being from toddlerhood to adolescence. The longitudinal relationship was moderated by the type of care (center-based vs. home-based) and the informant (parent, professional caregiver, external assessor, or self-report of the child). Implications for future ECEC research are discussed.
MULTIFILE
Interventions for older people are often not evaluated and, if evaluated, are not proven successful. Based on a systematic literature review and two qualitative studies about the social needs of older people, an intervention has been developed, implemented, and evaluated. Important social needs that emerged from these studies are connectedness, meaningfulness, and independence.
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This study utilized the Dutch translation of the Adjustment Scales for Early Transition in Schooling (ASETS), assessed in 323 kindergarten children across 30 regular schools in the Netherlands. Culturally-tailored, context-informed assessments are essential to address childhood adaptation challenges in early schooling. The analysis included EFA and CFA, revealing three behavioral problem categories: Aggressive/Oppositional (α = .86), Withdrawal/Low energy (α = .87), and Hyperactive/Attention seeking (α = .92). In addition, three situational contexts were identified: Contexts Requiring Discipline (α = .84), Contexts of Teaching and Learning (α = .85), and problems in Contexts Requiring Engagement (aka Disengagement) (α = .80). The 3-factor situational model demonstrated a good fit, RMSEA = .056, CFI = .97, and Pearson correlations highlighting distinct associations between behavioral dimensions and situational requirements.
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