state prekindergarten programs: a decade of progresslal 4th lal 5th math 4th math 5th science 4 th 1...
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State Prekindergarten Programs: A Decade of Progress Tuesday, June 24
2 p.m. ET / 1 p.m. CT / noon MT / 11 a.m. PT
YOU MUST USE YOUR TELEPHONE TO HEAR THE AUDIO
PORTION OF THE WEBINAR. DIAL 1-888-437-3195
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W. Steven Barnett, Ph.D. is a Board of Governors Professor and
Director of the National Institute for Early Education Research (NIEER)
at Rutgers University. His research includes studies of the economics of
early care and education including costs and benefits, the long term
effects of preschool programs on children's learning and development,
and the distribution of educational opportunities. Dr. Barnett earned his
Ph.D. in economics at the University of Michigan. He has authored or co-
authored over 160 publications including 16 books. His research interests
include the economics of human development and practical policies for
translating research findings into effective public investments. His best
known works include: reviews of the research on long-term effects;
benefit-cost analyses of the Perry Preschool and Abecedarian programs;
randomized trials comparing alternative approaches to educating children
including length of day, mono-lingual versus dual-language immersion,
and the Tools of the Mind curriculum; and, the series of State Preschool
Yearbooks providing annual state-by-state analyses of progress in state-
funded pre-K.
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NCSL Early Learning Fellows Webinar #1 - State
Prekindergarten Programs: A Decade of Progress
June 24, 2014
Steve Barnett, PhD
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What do we know from research about
program quality and effectiveness?
• Good quality preschool is rare
• Initial effects often are quite small
• Program designs too weak to produce large gains
• Implementation is too weak--no system to ensure
continuous improvement and results
• Some fade-out is really convergence as schools
help those behind catch up
• Effects do not entirely disappear in most studies
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Good Preschool is Rare for All (ECLS-B)
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WSIPP Meta-Analysis: 49 Rigorous Studies
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What do we know about producing large gains?
• Intentional teaching
• Individualization & small groups
• Some approaches don’t work very well:
• Head Start and comprehensive services
• Design programs to have short-term gains at
least as twice large as desired long-term
gains
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Notable recent studies of pre-K effects
• Head Start RCT very small impacts (discuss more later)
• Rhode Island RCT--pilot of pre-K for all
– Positive gains for all, larger gains for low income children
• TN RCT--randomization did not work for short-term
– But results are mixed and concerning
• RDD studies in Boston, GA, AR, WV, SC, MI, CA, OK,
NM, NJ
– Results are mixed, some have large positive effects
• Long-term positive effects in TX, GA and NJ
– In NJ quality is far higher long-term effects are much larger
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How well does Head Start work?
• Randomized trial of the effects of 1 year in 2002-2003
• Modest positive initial gains
• Lasting effects of Head Start were small to nil
– Partly this is catch-up as public schools help controls
• Also, study underestimated effects:
– Some children do not attend and some controls get into Head Start
– Controls also attend state pre-K and other programs
– Spillovers from Head Start children help control children too in K-3
• Nevertheless effects were smaller than we should get
• Head Start reforms have led to larger gains
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Head Start Improved Since National Study
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• Universal: all children in 31 high poverty districts
• Two years beginning at age 3
• Teacher with BA & certification & asst. teacher
• Full-day/school yr (6 hour school day, 180 days)
• Maximum class size of 15 students
• Approved evidence-based curricula (5 models)
• Public private partnership (2/3 private)
• Continuous improvement system with strong PD (coaching)
NJ’s Abbott Pre-K Program: A high
quality example
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Analyze and Plan
Implement –
Professional
Development and
Technical
Assistance
Measure and
Assess Progress
Continuous Improvement Cycle
First Develop Standards
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3.9
19.9
34.6
27.7
12.1
1.70.0 0.24.2
32.2
47.4
16.0
0
10
20
30
40
50
60
1.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-7.00
Perc
enta
ge o
f C
lassro
om
s
ECERS-R Score (1=minimal, 3=poor 5= good 7=excellent)
00 Total (N = 232) 08 Total (N = 407)
NJ Raised Quality in Public and Private
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Abbott Pre-K Effects on NJASK by Years of Participation
.12
.18 .17
.14
.17
.26
.22
.37
.29
.37
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
LAL 4th LAL 5th Math 4th Math 5th Science 4 th
1 year Abbott pre-k 2 year Abbott pre-k
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12% 12%
19% 17%
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
Retention Special edcuation
Abbott pre-K no Abbott pre-K
Abbott Pre-K Effects on Retention and Special Education
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What do we know about State Pre-K?
Long-term trends nationally Enrollment has more than doubled nationally in 10 years
Quality standards have improved
Spending has increased, but not enough to keep up with
enrollment
Recession hit pre-K hard Funding declined, especially funding per child
Quality standards wavered
Most recently enrollment actually declined slightly
States vary greatly and interstate inequality increasing In some preschool is available to all; in others to none
Some have high standards, others have none for some features
Spending per child varies by a factor of 10
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Access
• In 2012-2013, enrollment decreased—by more than 9,000
children at age 4—from the prior year across the 40 states plus D.C.
that offer pre-K. This is the first enrollment decrease, nationally,
NIEER has observed.
• Slightly more than 1.3 million children attended state-funded pre-
K, 1.1 million of them at age 4
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Access: Enrollment Growth by Age
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
Enrollment Growth by Age, 2001-2002 to 2012-2013
Other Ages
4s
3s
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Access Map
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Access: Preschool and preschool
special education
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
90.0%
100.0%
3-year-olds
4-year-olds
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Benchmarks, 01-02 to 12-13
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Quality Standards Benchmarks 2012-2013 State Pre-K Quality Standards
State/Program ELS BA
Specialized
Training Assistant 15 hours
Class Size
20 Ratio 1:10
Screening
Referral Meal Site Visits Total
Alabama x x x x x x x x x x 10
Florida x x x 3
LA 8(g) x x x x x x x 7
LA 4 x x x x x x x x 8
LA NSECD x x x x x x x x x x 10
Massachusetts x x x x x x 6
Nebraska x x x x x x 6
New Mexico x x x x x x x x 8
New York x x x x x x x 7
Oregon x x x x x x x x 8
Tennessee x x x x x x x x x 9
Texas x x 2
Washington x x x x x x x x x 9
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Percent measuring program quality and/or effectiveness
Both process quality and program impacts/outcomes
26 49% Process quality
5 9% Iimpact/child outcomes
3 6% Not evaluated
19 36% Most Recent Evaluation Reported, by Year
2003 1 3%
2007 1 3%
2008 1 3%
2010 3 9%
2011 2 6%
2012 3 9%
2013 6 18%
2015
(planned) 1 3%
Ongoing 10 29%
Annually 6 18%
Program Evaluation
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$-
$1,000,000,000
$2,000,000,000
$3,000,000,000
$4,000,000,000
$5,000,000,000
$6,000,000,000
Figure 2: State Spending on Pre-K
2001-2002 to 2012-2013
2012 $
Nominal
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• Total state funding for pre-K programs increased by $30 million
in real dollars, about 1%.
• State pre-K funding per child increased by $36 (inflation-
adjusted) from the previous year, to $4,026.
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Q and A: What do you want to know?
• Effectiveness
• Quality: What works best
• State policies and leading state examples
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Questions/Comments
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