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1
The Early Head Start Research
and Evaluation Project and Beyond:
Lessons Learned and Implications
for Longitudinal ECD Research
Kimberly Boller
The Maria Cecilia Souto Vidigal Foundation’s
Second International Workshop on ECD
Sao Paulo, October 3, 2008
2
Overview
Review of Early Head Start, the national
evaluation findings, the Survey of EHS
programs, and Baby FACES
Impacts of EHS on pre-k program participation
and quality
Impacts of EHS on school readiness and family
functioning when children were at pre-k
The special stories of subgroups
How programs evolved
The newest study: Baby FACES
Lessons learned
3
The Early Head Start Program
More than 650 programs serving more
than 65,000 children
Various originating agencies
About 10% of the Head Start budget
Follows the Head Start Program
Performance Standards
4
Early Head Start Is an Intensive,
Two-Generation Program
Self-Sufficiency and
Healthy Families
Parenting
Child
Development
5
Services Among Early Head Start
Programs Are Diverse
FOUR PROGRAM MODELS:
Home-only: programs provide home based services to
all families
Center-only: programs provide center-based services to
all families
Multiple: programs provide center-based services to
some families and home-based to others, some may get
both
Combination: programs provide center-based services
and frequent home visits to all families
6
7
Readiness for School and Life
Ed Zigler’s definition of social competence,
“the child’s everyday effectiveness in dealing with his
environment and later responsibilities in school and life.
Social competence takes into account the interrelatedness of
cognitive and intellectual development, physical and mental
health, nutritional needs, and other factors that enable a
child to function optimally.”
Quoted in Raizen and Bobrow (1974)
8
Policy and Economic
Context
Welfare reform enacted July 1996, as
research programs began enrolling
families
Strong economy with low
unemployment rates
Increase in needs for child care
Some programs changed their
approach based on family child care
needs
9
The Early Head Start Research
and Evaluation Study
♦ Began in 1995
♦ 3,001 children and families randomly assigned
to EHS program or control group in impact
study with experimental design:
♦ Followup: (1) age 14, 24, and 36 months; (2)
when children in prekindergarten
♦ Fifth grade followup in progress
♦ Response rates are a challenge
Early Head Start Group Control Group
10
Early Head Start Research
Sites
Brattleboro,
VT
New
York,
NY
Pittsburgh,
PA
Sumter, SC
Jackson,
MI
Russellville,
AR
Kansas City,
MO
Marshalltown,
IA
Kansas
City, KS
Logan,
UTDenver, CO
(2 programs)
Kent, WA
Sunnyside,
WA
Alexandria,
VA
Venice,
CA
McKenzie,
TN
11
Research Conducted by Early
Head Start Research Consortium
Representatives from 17 programs participating
in the evaluation, 15 local research teams, the
evaluation contractors, and ACF/ACYF
Research institutions in the Consortium (and principal researchers) include ACF (Rachel Chazan
Cohen, Judith Jerald, Esther Kresh, Helen Raikes, and Louisa Tarullo); Catholic University of America
(Michaela Farber, Lynn Milgram Mayer, Harriet Liebow, Christine Sabatino, Nancy Taylor, Elizabeth
Timberlake, and Shavaun Wall); Columbia University (Lisa Berlin, Christy Brady-Smith, Jeanne
Brooks-Gunn, and Alison Sidle Fuligni); Harvard University (Catherine Ayoub, Barbara Alexander Pan,
and Catherine Snow); Iowa State University (Dee Draper, Gayle Luze, Susan McBride, Carla
Peterson); Mathematica Policy Research (Kimberly Boller, Ellen Eliason Kisker, John M. Love, Diane
Paulsell, Christine Ross, Peter Schochet, Susan Sprachman, Cheri Vogel, and Welmoet van
Kammen); Medical University of South Carolina (Richard Faldowski, Gui-Young Hong, and Susan
Pickrel); Michigan State University (Hiram Fitzgerald, Tom Reischl, and Rachel Schiffman); New York
University (Mark Spellmann and Catherine Tamis-LeMonda); University of Arkansas (Robert Bradley,
Mark Swanson, and Leanne Whiteside-Mansell); University of California, Los Angeles (Carollee
Howes and Claire Hamilton); University of Colorado Health Sciences Center (Robert Emde, Jon
Korfmacher, JoAnn Robinson, Paul Spicer, and Norman Watt); University of Kansas (Jane Atwater,
Judith Carta, and Jean Ann Summers); University of Missouri-Columbia (Mark Fine, Jean Ispa, and
Kathy Thornburg); University of Pittsburgh (Carol McAllister, Beth Green, and Robert McCall);
University of Washington School of Education (Eduardo Armijo and Joseph Stowitschek); University of
Washington School of Nursing (Kathryn Barnard and Susan Spieker); and Utah State University (Lisa
Boyce and Lori Roggman).
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Families of All Types and
Backgrounds
13
Positive, Modest Impacts for
Children at Age 3
♦ Higher immunization rate
♦ Fewer emergency room visits for
accidents and injuries
♦ Cognitive development (higher Bayley
scores & fewer in low-functioning group)
♦ Larger receptive vocabularies
♦ Lower levels of aggressive behavior
♦ Greater sustained attention with objects,
engagement of parent, and less
negativity
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But, Disparities Begin Early
90.2 88.0 91.4 89.9
83.3 81.1 82.9 81.4
0
10
20
30
40
50
60
70
80
90
100
EHS Bayley Age 2 EHS Bayley Age 3 EHS PPVT Age 3 HSIS PPVT Age 3
Treatment Control
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Positive, Modest Impacts for
Parents
♦ More positive (and less negative)
parenting observed in parent-child play:
both mothers and fathers
♦ More stimulating home environments,
support for learning
♦ More daily reading
♦ Less spanking: both mother and father
report
♦ More hours in education and job training
♦ Probability of being employed (trend)
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Parenting Example: More EHS than
Control Group Parents Read to Children
Daily
5752
0
10
20
30
40
50
60
70
80
90
100
Read Daily
Program Control
17
Parenting Example: EHS Parents Were
Less Likely to Spank Their Children
4754
0
20
40
60
80
100
Program Control
18
Important Subgroup Stories:
Programs
All program approaches had favorable
impacts. Mixed approach had strongest.
Well-implemented programs affected more
outcomes when children were 3:
♦ Child outcomes
♦ Parent-child interactions
♦ Parenting
♦ Mental health
♦ Progress toward economic self-sufficiency
Strongest impacts found in early-
implemented mixed programs
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Important Subgroup Stories:
Families
Positive Impacts in 28 of 29 subgroups
Larger impacts in important subgroups:
♦ African American
♦ Enrolled during pregnancy
♦ Moderate demographic risk
No impacts: highest level of demographic
risk
Promising effects: families affected by
maternal depression
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Examining EHS Children’s
Experiences After Age 3
♦ 1994 Advisory Committee: continuity
and smooth transitions
♦ While in EHS, families got help
accessing quality child care.
♦ At age 3, 52% of EHS children were in
center child care at least 30 hours per
week.
♦ EHS provided transition services as
children left their program.
♦ Control group families were on their
own.
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Three Main Hypotheses
♦ EHS will increase children's enrollment in
formal care and education programs (FPs)
after EHS.
♦ Children’s program participation after EHS will
be moderated by:
♦ Characteristics of the programs they were in
♦ Community characteristics
♦ Family demographics
♦ EHS participation will increase the likelihood
that children will attend good-quality formal
programs after EHS.
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What Difference Did Being in
EHS Make on Program
Participation After EHS?
• More likely to be in Head Start at some
time, 3-5 (55% vs. 49%)
• More likely to be in a formal ECE
program both 3-4 and 4-5 (47% vs. 42%)
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What Difference Did it Make
for Particular Children?
• White children: more likely ever to be in
Head Start (46% vs. 35%)
• Moderate-risk children: more likely ever
to be in Head Start (60 vs. 51%)
• Low-risk children: more likely to be in
any formal ECE both periods (48 vs. 36%)
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What Difference Did EHS make
on Enrollment in Good-Quality
Programs
♦ 60% of EHS children were in a formal
pre-k program with ECERS-R of 5 or
better.
61% of control group children were.
♦ Average quality of centers we observed
was good: ECERS-R of 5.25.
No difference in average quality of programs EHS and control children were in.
♦ Quality of Head Start centers children
attended was higher than quality of
other formal programs (5.6 vs. 5.0).
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Context for Understanding
Early Head Start’s
Prekindergarten Impacts
♦ Impacts assessed 2 years after children
and families left the program.
♦ Control group had considerable program
experience after age 3.
♦ Quality of control group’s pre-k program
experience was same as for EHS
children.
♦ Quality of all observed ECE settings
apparently good.
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EHS Impacts on Children Two
Years After Early Head Start
♦ Decreased behavior problems
♦ Higher level of positive approaches to
learning
♦ Larger receptive vocabularies for
Spanish-speaking children, but not for
English speakers
♦ No impacts on achievement-related
outcomes: letter-word identification,
applied problem solving
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EHS Impacts on Parents and
Home Environment 2 Years
After Early Head Start
♦ Higher percentage read to child daily
♦ Higher scores on HOME total scale and
warmth scale
♦ Higher on summary of 8 teaching
activities
♦ Lower risk for maternal depression
♦ Parent more likely to attend meetings or
open houses at child’s program (if child
was in a program)
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Association of Children’s Participation
in Formal Programs from Birth to
Age 5 with Age 5 Outcomes
Formal Programs, 3-5
More-aggressive behavior (negative association)
Higher pre-academic skills (letter-word
identification)
More IEPs
More parent reading to child
Ever in Head Start
Higher pre-academic skills (letter-word
identification and applied problems)
More likely to have an IEP
Reduction in negative parental regard (interaction)
No association with aggressive behavior
29
Highest-Risk Families Appear to
Benefit from 5 Years of
Comprehensive Services
No positive impacts at 3
Some positive impacts at 5
♦ Improved approaches to learning
♦ Reduced living with someone using drugs
♦ Reduced neighborhood exposure to violence
♦ Reduced parent experiencing abuse
♦ But reduced letter-word identification (negative impact)
Ages 3-5: Least likely to be in formal
programs
♦ 39% for high risk vs. 47% for low and 43% for moderate risk.
♦ EHS did not increase in enrollment in formal programs.
♦ EHS did not increase use of Head Start but 57% of highest risk were in Head Start at some time 3-5
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So far, we’ve seen:
♦ Impacts of EHS observed at 36 months
♦ Impacts of EHS on program participation after EHS
♦ Impacts of EHS observed at prekindergarten
Next: which 36-month outcomes mediate
pre-k outcomes?
31
Do EHS Child Outcomes at 36
Months Mediate
Prekindergarten Outcomes?
EHS children’s developmental outcomes at 36
months, particularly their cognitive abilities and
their ability to engage their mothers in play, were
important mediators.
32
Overall Summary
EHS has impacts at age 5.
0-3 and 3-5 experiences contribute to
child and parent pre-k outcomes in
complementary ways. Greatest
benefits when 0-3 program is followed
by 3-5 experiences.
EHS serves as protective factor for
negative social-emotional outcomes.
For families at highest risk, may need
comprehensive services 0-5 to see
benefits.
Many lessons learned…Research to
Practice materials.
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Putting it All Together: At Age 5
Children with EHS and 3-5 fared the
best, followed by those with EHS only
(for child social-emotional and parent
outcomes) or HS/formal program only
(for child school-related outcomes).
Important for 0-3 services to be
supported by 3-5 services
A National Perspective on
Early Head Start
35
More Than Half of Early Head Start
Programs Provide Multiple Options
17%
23%
51%
9%
Home-Based
Center-Based
Multiple
Combination
Source: Survey of Early Head Start Programs, 2006
Sample size: 660 Programs.
36
Highest Degree Held by
Front Line Staff
0
20
40
60
80
Primary
Caregivers
Home Visitors
Graduate
BA/BS
AA
CDA/Equivalent
Percentage of Programs
Note: Indicates percentage of programs who employ 50 percent
or more staff holding each credential.
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High Risk Families in
Early Head Start
Demographic Risks
1. Teen mother
2. Single parent
3. Lack HS/GED
credential
4. Unemployed/Not in
school
5. More than 3 of above
Psychological Risks
1. Mental health problems
2. Substance abuse
problems
3. Unsafe neighborhood
4. Family violence
5. More than 2 of above
risks
Risk factors present challenges for serving families
38
Concentration of High Demographic
Risk Families
0%
20%
40%
60%
80%
100%
Teen Mother Single
Parent
No HS/GED Welfare Unemployed >3 Risks
Very
High
High
Med.
Low
Percentage of Programs
39
Concentration of High Psychological
Risk Families
0%
20%
40%
60%
80%
100%
Mental Health Substance
Abuse
Unsafe
Neighborhood
Family
Violence
>2 Risks
Very
High
High
Med.
Low
Proportion of programs
40
Race/Ethnicity of
Early Head Start Families
26%
25%
4%33%
6%
6%White
Black/Af. Am.
Hispanic/Latino
AmericanIndian/Alaska Native
Biracial/Multiracial
Asian/Hawaiian/PacificIslander/Other
Source: Survey of Early Head Start Programs N = 55,611
families.
41
Primary Non-English Language
of Early Head Start Families
81%
3%
3%
13%
Spanish
Asian
European
Other
Source: Survey of Early Head Start Programs, 2006 Sample size:
12,930 families speaking language other than English.
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Percentage of Early Head Start
Children with Any Suspected or
Diagnosed Disability
0
20
40
60
80
None 1-10 11-20 21-30 30+
Percentage of Enrolled Children
Percentage of Programs
43
Early Head Start
Community Partnerships
0
20
40
60
80
100
Child Care Health Mental
Health
Part C
Percentage of Programs
Percentage of programs with a formal written partnership with each type of
community partner.
44
Early Head Start Family and
Child Experiences Survey
Baby FACES
• Nationally representative sample of 90
programs
• 2,000 children in two age cohorts
♦ Perinatal
♦ Age 1
• Longitudinal follow-up until children 3
years old
♦ Supplemental survey of age 1 cohort when they
are 3.5 to learn about transitions
45
Baby FACES Data and
Respondents
Ongoing
• Family service use information
Annual 0 to 3
• Parent reports
• Home visitor/Teacher reports
• Classroom and home visit
observations
• Program director interviews
Information at 2 and 3
• Direct child assessments
• Parent/child interactions
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For More Information on All EHS
Research
http://www.acf.hhs.gov/programs/opre
47
Learn More About US EC Policy
and Evaluation Projects
OPRE
http://www.acf.hhs.gov/programs/opre/project/projectIndex.
jsp#hs
Child Care & Early Education Research Connections
http://www.childcareresearch.org/discover/index.jsp
NIEER
http://nieer.org/
NCEDL
http://www.fpg.unc.edu/ncedl/
ECLKC
http://eclkc.ohs.acf.hhs.gov/hslc