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Studying Effects of Early Education and Care on Child Developmental Outcomes

Large databases vs. individual analysis : Two complimentary approaches in the study of education and learning Esther Adi-Japha School of Education, Bar-Ilan University, Ramat-Gan, Israel. Studying Effects of Early Education and Care on Child Developmental Outcomes.

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Studying Effects of Early Education and Care on Child Developmental Outcomes

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  1. Large databases vs. individual analysis: Two complimentary approaches in the study of education and learning Esther Adi-Japha School ofEducation, Bar-IlanUniversity, Ramat-Gan, Israel.

  2. Studying Effects of Early Education and Care on Child Developmental Outcomes • Experimental studies – random assignment; model programs • Quasi-experimental studies – treatment & comparison groups; large-scale publicly funded interventions - Experimental & Quasi experimental – low income, at risk families • Correlational studies – naturally occurring variations

  3. Experimental studies

  4. Quasi-experimental studies

  5. Correlational studies

  6. The NICHD Study of Early Child Care and Youth Development Large sample (n = 1364) from 10 sites Quality, amount, and type of child care measured from birth to kindergarten Mothers and fathers observed and interviewed Home observations Cognitive, language, and social development assessed Children studied from birth to age 18 years (began 1991)

  7. Studying Effects of Early Education and Care on Child Developmental Outcomes Political/Policy issues What can children benefit from high quality child care? Is child care a risk factor for diminished cognitive and social child outcomes?

  8. Fundamentals of high-quality care • A high adult-child ratio • Small size group • Post-secondary training/education • Positive caregiver-child relationship • Well defined spaces • Well structured, well planned curricula

  9. Age Staff:child ratio Maximum group size In Canada (Province of Ontario) Under 18 months 1:3 10 18-23 months 1:5 15 2-5 years 1:8 16 In the United States, states may set ratios and maximum group sizes, although many do not set standards for group size. Pennsylvania, for example Rec 6 and 15 months 1:3-4 6-8 24 months 1:4-5 8-10 3 years 1:6-7 18-21 14 5 years 1:8 24 16 7 years 1:12 24

  10. On the NICHD SECCYD higher child care quality predicted … • Higher cognitive skills at 15, 24, 36, and 54 months and in first grade • Higher academic skills at 36 and 54 months • Higher language skills at 36 & 54 months • Reduced behavior problems Effects of child care quality were larger for children of low-income families. (derived EHS)

  11. -Controlling for • site, • child ethnicity, • child gender, • maternal education, • mean income-to-needs ratio between 6 months and assessment age, • parenting quality between 6 months and assessment age, • partner status. • -Implementing complicated imputation scheme (MI)

  12. Conclusion Positive effects for high quality child care But what about the effect of other aspects of child care: e.g., quantity and type of child care?

  13. Quantity of care • Repeated separation from mother • Might affect infant and toddler attachment to mother, social and cognitive development • Long repeated separations, • Might increase stress and lead to behavior problems (unfriendly assertiveness, noncompliance and aggression)

  14. 1 to 17 month olds 18 to 35 month olds 36 to 54 month olds Hours per week 0 to 10 >10 to <30 30 to highest Hours of Care

  15. Type of care • Highly structured, school-like rather than home-like environment • Might lack in emotional support • Unstructured, home-like environment • Might lack in cognitive and social stimulation

  16. NICHD SECCYD Results of 15 - 54 months * Exclusive maternal care did not predict child outcomes, * Higher quality child care was related to advanced cognitive, language, and preacademic outcomes at every age and better socioemotional and peer outcomes at some ages. * More childcare hours predicted more behavior problems and conflict, according to care providers. * More center-care time was related to higher cognitive and language scores andmore problem and fewer prosocial behaviors, according to care providers.

  17. -Controlling for • site, • child ethnicity, • child gender, • maternal education, • mean income-to-needs ratio between 6 months and assessment age, • parenting quality between 6 and assessment age, • partner status. • -Implementing complicated imputation scheme (MI) • NICHD SECCYD, 2006, American Psychologist

  18. Long term durable effects: 6th grade • * Higher quality care predicted higher vocabulary scores • * More exposure to center care predicted more teacher-reported externalizing problems. • Controlling for preschool time invariant covariates included site, child ethnicity, child gender, maternal education, mean income-to-needs ratio between 6 and 54 months, parenting intercept, and slope from 6 to 54 months, maternal depressive symptoms intercept and slope from 6 to 54 months. The concurrent time-varying covariates from 54 months through sixth grade included income to-needs ratio, parenting, maternal depression observed school classroom quality, and hours per week of after-school care (set to 0 for 54 months). • Belsky et al., & NICHD SECCYD, 2007, child development.

  19. What are child care effect sizes - Overall, modest to moderate • Child care quality • Modest effects on all cognitive outcomes (.08 < rp < .12) • Modest to moderate on many social–emotional outcomes (.08 < rp < .12) • Long term effects on academic scores (6th grade) • Quantity of care • Negligible effect on cognitive outcomes • Modest negative effects on many social–emotional outcomes (.09 < rp < .14) • No long term effects. • Center care hours • Modest effects on all cognitive outcomes • Modest negative effects on many social–emotional outcomes • Negative long term effects on social-emotional measures. • Parenting • Moderate-to-large associations with • all cognitive outcomes (.17 < rp < .34; .40 < d < 1.23), • many of social–emotional outcomes (.08 < rp < .23; .33 < d < .83) • Parenting effects are a twice to three times larger than the corresponding child care effects

  20. Are child care effects independent of parenting quality? In contrast to previous (less controlled) studies, the NICHD SECCYD did not find support for 1. ‘The differential prediction hypothesis’. 2. ‘The compensation/lost-resources hypothesis’. But what about non-linear associations ? The role of secondary analysis!

  21. Research Question Is there a difference between ‘high-quality’ and ‘low-quality’ parenting outcomes that depends on quantity of care? Is such a difference non-linear?

  22. Study Variables Quantity of care - Predominantly maternal care 0-10 hr/week on average 0-36 months - Medium amount of child care 10-32 hr/week on average 0-36 months - Higher amounts of child care Parenting quality ‘low-quality’ and ‘high-quality’ parenting: above and below median Outcomes: Cognitive outcomes at 36 months Prof. Pnina Klien

  23. -Controlling for • child ethnicity, • child gender, • maternal education, • mean income-to-needs ratio between 6 months and assessment age, • parenting quality between 6 and assessment age, • partner status. • -Implementing complicated imputation scheme (MI) • - Results remained with different cut-offs, and with childcare hours as a continuous variable.

  24. Conclusions • There is an optimum of child care hours, in which the association between parenting quality and outcomes is maximal; associations do not decrease linearly with the amount of child care. • Sharing databases is highly important for studying in-depth the results, highlighting un-expected effects.

  25. Can individual differences be studied using large databases? - well, probably not… From the NICHD SECCYD data contract C. To avoid inadvertent disclosure of persons, families, households, or care providers information … … 2. In no case should the total figure for a row or column of a cross-tabulation be fewer than three. 3. In no case should a quantity figure be based upon fewer than three cases. 4. In no case should a quantity figure be published if one case contributes more than 60 percent of the amount. 5. In no case should data on an identifiable case, nor any of the kinds of data listed in preceding items 1-3, be derivable through subtraction or other calculation from the combination of tables released.

  26. Why should we study individuals’ data? • Group data may mask abrupt changes in the individual’s course of development. • These changes may/may-not-be at different times for different individuals. • I shall Illustrate this point using a procedural learning task

  27. What is procedural learning? Procedural learning refers to the acquisition of new behaviors through a process of repetitive practice (e.g., writing, driving, playing a musical instrument etc..). Laboratory- motor learning tasks are often used as a model for procedural learning.

  28. Motor learning Brashes- Krug, Shadmehr & Bizzi, Nature, 1996 Karni et al., PNAS, 1998 Sosnik et al., Exp. Brain Res. 2004

  29. Three stages in motor learning • Fast learning – gains (in speed and accuracy) accrued throughout the training session. • Memory consolidation – gains that appear in the hours or days after termination of training. • Retention/Slow learning – retention/further improvement that appear some weeks following termination of practice.

  30. 23 21 19 Three stages in motor learning 17 15 Performance (# seq./30sec) 13 11 9 7 5 3 1 0.8 9 year-olds 12 year-olds 0.6 17 year-olds # errors 0.4 0.2 0 trainingsession 24 h 48 h 6 wks

  31. Interference Brashes- Krug, Shadmehr & Bizzi, Nature, 1996

  32. end end init init 24hr post 24hr post 25 no interference 20 interference 15 Performance (# seq./30sec) 10 5 9 yrs 12 yrs 17 yrs 0 1 # errors 0.5 0 end init 24hr post Dorfberger, Adi-Japha, & Karni, 2007, Plos one

  33. Changes may/may-not-be at different times for different individuals… Consolidation gains - 24 hours after termination of training - sleep dependent.

  34. What happened within the training session?

  35. Var(moving window(Data - Power-law). Three phases: (a) Low var. (b) High var. (c) Low var. Performance > Power-law extrapolation(1st Low var.) Adi-Japha et al., 2008, JEP LMC

  36. Two performance phases within the training session • Within/between sequence errors • Latency to respond

  37. Final conclusions • For the benefit of all, (large) databases need to be shared • Large educational databases are limited: do not allow the study individual behaviors

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