Children and Families in Diverse Settings Margaret Burchinal University of California-Irvine (UNC)

Slides:



Advertisements
Similar presentations
1 Does Disadvantage Start at Home? Racial and Ethnic Disparities in Early Childhood Home Routines, Safety, and Educational Practices/Resources Glenn Flores,
Advertisements

SAC Needs Assessment. Background A goal of the Massachusetts State Advisory Council on Early Childhood Education and Care (SAC) Identify the needs of.
Wiring for Success: National Research Linking Early Child Care with Adolescent Development Aletha C. Huston University of Texas at Austin Presentation.
Grandparenting and health in Europe: a longitudinal analysis Di Gessa G, Glaser K and Tinker A Institute of Gerontology, Department of Social Science,
Are Child Developmental Outcomes Related to Before/After-School Care Arrangements? NICHD Early Child Care Research Network.
This material is based upon work supported by the National Science Foundation under Grant No: HRD Any opinions, findings, conclusions, or recommendations.
Large databases vs. individual analysis: Two complimentary approaches in the study of education and learning Esther Adi-Japha School of Education, Bar-Ilan.
CPS Recidivism Associated with a Home Visiting Program: A Quasi Experimental Analysis Ed Byrnes, Ph.D. Eastern Washington University Michael Lawson, M.S.
Marissa Mounts University of Virginia July 25, 2009 Exploring Early Predictors of Fine Motor Skills at Kindergarten Entry.
Understanding the Early Years Action Planning Session Thursday, May 22, 2008 Delta Brunswick Hotel Saint John, NB.
Massachusetts Early Care and Education and School Readiness Study
Quality of Relationships with After-School Program Staff and Child Developmental Outcomes Deborah Lowe Vandell, Kim M. Pierce, & Dale Lee Meetings of the.
The Social Consequences of Economic Inequality for Canadian Children: A Review of the Canadian Literature.
The Achievement Gap: Lessons from the Early Childhood Longitudinal Study – Birth Cohort (ECLS-B) Tamara Halle, Nicole Forry, Elizabeth Hair & Kate Perper.
Kindergarten Readiness:
Carl E. Bentelspacher, Ph.D., Department of Social Work Lori Ann Campbell, Ph.D., Department of Sociology Michael Leber Department of Sociology Southern.
Effect of Physician Asthma Education on Health Care Utilization of Children at Different Income Levels Randall Brown, Noreen Clark, Niko Kaciroti, Molly.
Associations between Child Care Quality & Developmental Outcomes of Children in Low Income Working Families in Four Communities James Elicker, Soo-Young.
6/20/ H Study of Positive Youth Development - MO Wave H Study of Positive Youth Development Missouri Wave 6 Update.
Childcare Quality and Early Learning Gail E. Joseph, Ph. D
Supporting PreK Teachers During Act 3 Implementation.
Who Attends Private Schools? Enrollment rates by ethnicity in California Magali Barbieri, Shelley Lapkoff, Jeanne Gobalet Lapkoff & Gobalet Demographic.
School Readiness Initiatives: Assessing Their Yield Craig T. Ramey, Ph.D. & Sharon L. Ramey, Ph.D. Georgetown University Center on Health and Education.
1 Multi-State Study of Pre-Kindergarten & Study of State-Wide Early Education Programs (SWEEP) Richard M. Clifford National Center for Early Development.
March 2010 what the school readiness data mean for Harford County’s children ©
ILLNESSES, INJURIES, AND HOSPITALIZATIONS AMONG INNER-CITY MINORITY INFANTS IN CHICAGO.
1 Preschoolers Identified as Having Autism: Characteristics, Services, and Achievement Elaine Carlson and Amy Shimshak, Westat OSEP National Early Childhood.
November 1,  Clients and Services  Outcomes ◦ Mobile Dental Clinic ◦ CARES Plus ◦ Child Signature Program #2 ◦ School Readiness.
Early Childhood Education The Research Evidence Deborah Lowe Vandell December 11, 2003.
Links to Positive Parenting among African American and Hispanic American Low-Income Mothers Laura D. Pittman Psychology Department Northern Illinois University.
Infant Toddler Child Care in America: Three Perspectives Carol Brunson Day Program for Infant Toddler Care Celebrating Twenty Years San.
An Examination of Paternal Contributions to Child Behavior Among a Low-Income and Ethnically Diverse Sample Michael P. Flores, Kyle W. Murdock, & Laura.
Birth Cohort Jennifer Park National Center for Education Statistics Institute of Education Sciences IES Research Conference June 2006.
Racial/Ethnic Disparities in Adults Reading to Two Year Old Children: A Population-based Study Olivia Sappenfield Emory University School of Public Health.
Early Parental Satisfaction with Pediatric Care: Does it Improve Immunization of Young Children? Ashley Schempf BS, Cynthia Minkovitz MD MPP Donna Strobino.
Children Entering School Ready to Learn The Maryland School Readiness Report what the school readiness data mean for Maryland’s children.
GEORGE L. ASKEW, MD, FAAP OFFICE OF THE ASSISTANT SECRETARY ADMINISTRATION FOR CHILDREN AND FAMILIES U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES AMERICAN.
Maternal Romantic Relationship Quality, Parenting Stress and Child Outcomes: A Mediational Model Christine R. Keeports, Nicole J. Holmberg, & Laura D.
+ Third Party Evaluation – Interim Report Presentation for Early Childhood Advisory Council December 19, 2013.
A Picture of Young Children in the U.S. Jerry West, Ph.D. National Center for Education Statistics Institute of Education Sciences EDUCATION SUMMIT ON.
Multiple Social-Environmental Risks and Mother-Infant Interaction among Mother-Premature Infant Dyads Kristin Rankin, PhD Camille Fabiyi, MPH Kathleen.
Understanding Quality in Early Childhood Education and Care Programs in Massachusetts Findings from the Preschool Program Quality Study and Highlights.
Acute and Chronic Disability Among US Farmers and Pesticide Applicators: The National Health Interview Survey O Gómez-Marín, D Zheng, W LeBlanc, D Lee,
Program Evaluation - Reunification of Foster Children with their Families: NYS Office of Children and Family Services, Division of Child Care Evelyn Jones,
Welfare, Work, and Well- being among Inner-City Minority Mothers.
 1,001 adolescent boys (47%) and girls (53%)  Fairly diverse: 58% Caucasian; 23% African American,12% Hispanic, 2% Asian, 5% Other  Age Range:
Why should you care about diversity?. 2 There are significant disparities in the education, economic well- being, and health of children in the U.S. based.
Massachusetts Universal Pre- Kindergarten Program Evaluation of the First Two Years of the Pilot Initiative Alyssa Rulf Fountain Barbara Goodson September.
Family Characteristics Effect of parental separation on children's behavior 13.8% of children born in experienced parental separation before age.
Seeing myself interact: Understanding interactions with children by embedding the CLASS in professional development Marilyn Chu, WWU – ECE FOCUS on Children.
Adolescent Peer and Romantic Predictors of Youths’ Emotion Regulation in Early Adulthood Introduction David E. Szwedo David E. Szwedo,
Children Entering School Ready to Learn The Maryland School Readiness Report what the school readiness data mean for Maryland’s children.
Fighting Behavior among early adolescent African Americans: What are the personal and environmental factors? Vanya Jones, PhD, MPH APHA Session ,
Evaluation of Indiana's Pilot Public Pre-Kindergarten Program: First Year Results James Elicker, Katrina Schmerold, David Purpura, Sara Schmitt, Amy Napoli,
Allegany County March 2012 Children Entering School Ready to Learn
Indiana Paths to QUALITY™ Child Care Quality Rating and Improvement System: Outcomes for Children and Child Care Providers James Elicker, Zachary Gold,
European Early Childhood Education Research Association
Wicomico County Children Entering School Ready to Learn
Texas Pediatric Society Electronic Poster Contest
Prince George’s County
Washington County Children Entering School Ready to Learn
Harford County Children Entering School Ready to Learn
Georgia’s Pre-K Summer Transition Program
Baltimore City March 2012 Children Entering School Ready to Learn
Garrett County Children Entering School Ready to Learn
Laura M. Sylke & David E. Szwedo James Madison University Introduction
Child Care and Young Children’s Development
Inequality Starts Before Kindergarten
Talbot County Children Entering School Ready to Learn
Child Care and Young Children’s Development
Presentation transcript:

Children and Families in Diverse Settings Margaret Burchinal University of California-Irvine (UNC)

Overview Examine three large studies –NICHD SECCYD ( ) –NHES 1997, 2001, 2005 –NCEDL Pre-Kindergarten Evaluation (2001,2003) Describe associations between child care experiences and child outcomes Report descriptive statistics about proportion of children in diverse settings and identify family predictors of type, amount, and quality of care

NICHD Study of Early Child Care and Youth Development- Sample 1,364 eligible births occurring during 1991 Sampling designed to assure adequate representation of major socio- demographic niches Ten data collection sites 24 hospitals Location of participating families

Child Age (in months) Assessment Setting Home Child Care Laboratory Phone Schedule of Assessments

Child Care and 54m Outcomes- Standardized Mean Differences Adjusting for site, gender, ethnicity, family income, maternal education and depression

Child Care and Longitudinal Outcomes effect sizes computed from regression coefficients Adjusting for site, gender, ethnicity, family income, maternal education and depression

Child Care and Longitudinal Outcomes effect sizes computed from regression coefficients Adjusting for site, gender, ethnicity, family income, maternal education and depression

NICHD SECCYD – Type of Care by Age ( ) 10 or more hours/week per setting aside from mother care, multiple settings per child

Diversity – Families and Child Care Predictors of type of care –Age decrease in exclusive maternal care increase in center care –Ethnicity In infancy – AA children more likely to be with mother or grandparent At PreK – AA children more likely to be in a center –Income Less income – more likely to be in maternal care More income – more likely to be in a center or child care home

NICHD SECCYD – Ethnicity and Type of Care 10 or more hours/week per setting aside from mother care, multiple settings per child

NICHD SECCYD – Family Income and Type of Care 10 or more hours/week per setting aside from mother care, multiple settings per child

Predicting Use of Center Care 6m (9%) 15m (11%) 24m (17%) 36m (27%) 54m (53%) Male Ethnicns NsW<AA * Income1.14 *** 1.09 *** 1.12 *** 1.18 *** 1.13 *** M educ * 1.09 * 1.08 * 1.10 ** Partner **.40 ***.59 ** Odds ratios are listed, * p<.05; **p<.01; ***p<.001, controlling for site

Predicting Use of Child Care Homes 6m (23%) 15m (24%) 24m (24%) 36m (20%) 54m (13%) Male Ethnicns Income ** M educ1.07 * Partner.48 ***.53 **.69 *.52 ** Odds ratios are listed, * p<.05; **p<.01; ***p<.001, controlling for site

Predicting Exclusive Maternal Care 6m (36%) 15m (30%) 24m (28%) 36m (21%) 54m (11%) Male Ethnicns Income.78 ***.77 ***.74 ***.67 ***.62 *** M educ.90 ***.91 **.89 **.95 Partner3.03 ** 1.85 ** 2.12 *** 2.43 *** 1.89 * Odds ratios are listed, * p<.05; **p<.01; ***p<.001, controlling for site

Hours per Week of Child Care For “all”: N= and SD~20; For CC: N= and SD~13

Predicting Amount of Care 6m15m24m36m54m Male Ethnic W,H<AAW<AA,HW,H<AAnsW<AA,H Income.10 ***.12 ***.08 ***.09 ***.02 M educ ** -.02 Partner *** -.13 *** -.06 Center.27 ***.25 ***.32 ***.36 ***.37 *** CC Home.35 ***.30 ***.29 ***.36 ***.37 *** Includes children with 10 or more hours of child care Standardized Coefficients are listed, * p<.05; **p<.01; ***p<.001, controlling for site

Child Care Quality N ranges from about 600 to 900; SD ~.5

Predicting Quality of Care 6m15m24m36m54m Male *** Ethnic NsAA,H<W * AA<W *** ns Income *.12 ** M educ ***.11 **.09 * Partner ** Hrs/Wk ** -.16 *** Center-.35 *** -.33 *** -.10 *.04 CC Home-.22 *** -.15 *** Standardized Coefficients are listed, * p<.05; **p<.01; ***p<.001, controlling for site

Quality: Income x Type Differences Looked at whether quality of care in different types of care varied depending on income (defined by poverty threshold): CC homes and grandparent: –Very low (0-1.5) 3) CC center – different pattern –6 & 15m center lower < very low < high –24, 36, 54 center – little difference in quality related to income

National Household Educational Survey Cross-sectional nationally representative sample Asked about child care in 1996, 2000, 2004 We divided children based on age (0-1, 1- 2, 2-3, 3-4, 4-6 years-of-age) and looked at type of care (present for at least 5 hours) and hours of child care per week

NHES – Type of Care by Age (1998) Parent care if less than10 hours of child care per week, 5 hours/week other setting

NHES – Type of Care by Age (2000) Parent care if less than10 hours of child care per week, 5 hours/week other setting

NHES – Type of Care by Age (2005)

NHES 2005 Predicting type of care (similar pattern) –Age Parental care most frequent for infants, decreases wage Center care increases with age –Ethnicity African American children use more child care and Hispanic children use less child care, especially center care –Income Higher income children use more child care, especially center care

NHES 2005 Ethnicity and Type of Care 5 or more hours/week per setting aside from mother care, multiple settings per child

NHES 2005 Income and Type of Care 5 or more hours/week per setting aside from mother care, multiple settings per child

Predicting Center Care 0-1y (11%) 1-2y (16%) 2-3y (26%) 3-4y (40%) 4-6y (67%) Male 1.23 ** 1.40 ** ** 1.55 *** Ethnic AA< O < W<H AA< O,W,H AA< O,W<H Income 1.09 ** 1.14 ** 1.09 ** 1.08 ** 1.09 ** M educ 1.21 *** 1.06 * 1.16 *** 1.15 *** Partner.45 ***.38 ***.37 ***.68 ***.63 *** Odds ratios are listed, * p<.05; **p<.01; ***p<.001

Predicting Relative Care 0-1y (19%) 1-2y (16%) 2-3y (15%) 3-4y (14%) 4-6y (18%) Male ***.91 ** ** EthnicAA<O, W<H AA<O, W,H AA<H< W < O W,H< AA,O W,AA< O,H Income 1.06 *** ***.96 ** M educ *** ** 1.04 ** Married.52 ***.44 **.72 ***.38 *** Odds ratios are listed, * p<.05; **p<.01; ***p<.001

Predicting Nonrelative Care 0-1y (13%) 1-2y (16%) 2-3y (14%) 3-4y (13%) 4-6y (8%) Male.80 **.77 ** 1.15 ** 1.43 ** 1.18 ** EthnicO<AA< W<H O<H< W<AA O < W, H < AA O <W< H < AA Income 1.05 *** 1.31 *** 1.09 ** M educ 1.18 *** 1.14 *** 1.09 ** 1.15 ** 1.02 Married.44 ***.62 ***.84 ***.25 ***.53 *** Odds ratios are listed, * p<.05; **p<.01; ***p<.001

Predicting Exclusive Maternal Care 0-1y (61%) 1-2y (51%) 2-3y (47%) 3-4y (36%) 4-6y (24%) Male *** *** EthnicAA,O> W>H AA,O> W,H AA>O, W>H Income.91 ***.89 ***.86 ***.94 *** M educ.92 ***.87 ***.90 ***.87 ** Married2.54 *** 2.84 *** 3.84 *** 2.06 *** Odds ratios are listed, * p<.05; **p<.01; ***p<.001, controlling for site

NHES 2004 Hours/Week of Child Care Includes children in care for 10 or more hours/week; SD ~ 19 for ALL and 15 for CC

Predicting Amount of Care  0-1y1-2y2-3y3-4y4-6y Male-.12 * Ethnic NsAA<H, O,W. NsAA<H, O,W AA<H, O,W Income * * M educ *** M Married *** -.15 *** -.28 *** Center.28 ***.14 **.25 *** * CC Home.18 *** ***.29 ***.15 ***  If in care for 10+ hrs/wk;  Standardized Coefficients are listed, * p<.05; **p<.01; ***p<.001

Diversity – Families and Child Care Looked at Ethnicity x Income interactions –Type of care Center: none Relative: Hispanic – income more of a negative predictor Nonrelative: Other – income more of a negative predictor. African American – income more of a positive predictor Parental Care: African American – income more of a negative predictor –Amount of care African American – income more of a negative predictor

Multi-State Study of Pre- Kindergarten & Study of State-Wide Early Education Programs (SWEEP) Funded by the: U.S. Department of Education, National Institute for Early Education Research (NIEER) & The Foundation for Child Development

Sampling Strategy  Site Selection- States must have mature Pre-K program that served a substantial number of children  Multi-State  6 states: 40 school/centers selected randomly, per state, stratified by: teacher credentials (BA vs. no BA), in school vs. non-school, and full/part day  SWEEP:  5 states: aimed for 100 school/centers selected randomly, per state (no stratification)  Class Selection - 1 classroom selected randomly n ~ 750 classes  Child Selection year-old children per class selected randomly (half girls) N ~ 3000 children

Multi-State Study of Pre-K California, Illinois, Kentucky, Ohio, Georgia, & New York States in the Study SWEEP Massachusetts, New Jersey, Texas, Washington, & Wisconsin

Pre-Kindergarten Classrooms  Teacher education  MA or higher 22%  BA 58%  AA 15%  CDA only 14%  HS <1%  State Teaching Certification 57%  Location - Public School 53%

Child Race/Ethnicity

Maternal Education

Family Income

Gains in pre-academic skills after controlling for family characteristics Language and Literacy Receptive ExpressiveRhyming Naming Teacher PPVT OWLS Letters Ratings __________________________________________________ n Gain 2.63***3.42*** 1.27*** 4.96***.67*** (SE) (.52)(.47) (.15) (.31) (.04) d a.58 a.83 a Note*** p<.001 analyses include site, maternal education, poverty, gender as covariates. a not adjusted for normative gains over time

Gains in pre-academic skills after controlling for family characteristics Mathematics and social skills AppliedNamingSocial Behavior ProblemsNumbers CompetenceProblems ____________________________________________________ n GainB2.44***2.28***.13***-.03 (SE)(.54)(.15) (.03)(.02) d a Note*** p<.001 analyses include site, maternal education, poverty, gender as covariates. a not adjusted for normative gains over time

Predicting Gains during PK Year from PK Teacher Sensitivity ECERS Teaching and Interactions –Phonemic awareness r p =.09 * –Social competence r p =.08 * CLASS Emotional Climate –Social competence r p =.06 * –Behavior Problems r p =-.07 * Note these two dimensions showed highest correlation, r=.73 analyses include site, maternal education, poverty, gender as covariates.

Predicting Gains during PK Year from PK Instruction CLASS Instructional Climate –Receptive language r p =.07 * –Expressive language r p =.07 * –Phonemic awareness r p =.10 ** ECERS Provisions for Learning –None Note * p<.05, ** p<.01 analyses include site, maternal education, poverty, gender as covariates.

Pre-K Child Activities Children were not engaged in any of these activities 42% of the time.

Hours per Week for a Child

Predicting Hours of Care B Male -.01 EthnicityAA > H > O > W Income -.18 *** Mat. Education.07 *** Married -.01

Pre-K ECERS-R Distribution Minimal InadequateGood Excellent

CLASS Factor Scores Medium Low High

Predicting Quality ECERS-RCLASS Emotional CLASS Instructional Male EthnicityAA< W,H,O ns Income.17 ***.24 ***.19 *** Mat. Education Married *.04 * Hours/Wk.06 *** -.14 ***.03

Diversity – Families and Child Care Looked at Ethnicity x Income interactions –Amount of care None –Quality of Care Income is more positive predictor of sensitivity (ECERS-R and CLASS Emotional Climate) for African American and Hispanic children than other children

Conclusions Wide diversity in type, amount, and quality of child care –Older children are more likely to be in center care and less likely to be cared for exclusively by parents –Families with more income are more likely to use all types of child care, more care, and higher quality care Center care for infants higher for very poor than lower income families in SECCYD –African American families are more likely to use parental care (adjusting for demographic characteristics) and experience lower quality care when they use child care Income is less strongly related to amount and more strongly related to quality for African-American families

Conclusions Child care quality, quantity, and type are modestly related to some outcomes –Limited evidence that associations stronger for at risk children