Issues and Opportunities in Out-of-School Time Evaluation Briefs
Why, When, and How to Use Evaluation:
Experts Speak Out
Number 5, June 2003
Heather Weiss and Priscilla Little, Harvard Family Research Project
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Harvard Family Research Projects (HFRP) Issues and Opportunities
in Out-of-School Time Evaluation briefs are short, user-friendly documents
that highlight current research and evaluation work in the out-of-school time
field. These documents draw on HFRPs research work in out-of-school time
in order to provide practitioners, funders, evaluators, and policymakers with
information to help inform their work. This latest brief offers expert commentary
on the implications of When Schools Stay Open Late: The National Evaluation
of the 21st-Century Community Learning Centers Program, First Year Findings1
for future evaluation and research.
Introduction
The 21st Century Community Learning Centers (21st CCLC) program began in 1998
under the Elementary and Secondary and Education Act, with $40 million awarded
to 99 grantees in 34 states, supporting programs in about 360 schools. Reauthorized
under the No Child Left Behind Act, the program received $1 billion in 2002.
On February 3, 2003 the U.S. Department of Education released the first-year
findings from the national 21st CCLC program evaluation. Conducted by Mathematica
Policy Research, the national evaluation examined the characteristics and outcomes
of typical 21st CCLC programs. Simultaneous with the reports release,
the Presidents Fiscal Year 2004 Education Budget Summary and Background
Information cited the disappointing initial findings from a rigorous
evaluation of the 21st Century Community Learning Centers program as a
rationale to request a decrease in funding for the program by 40 percent.2 According
to the budget summary, the evaluation indicates that the centers funded
in the programs first three years are not providing substantial academic
content and do not appear to have a positive impact on student behavior.3
The decision to recommend a 40 percent reduction in the 21st CCLC budget has
stimulated renewed commitment to evaluation as well as efforts to examine this
one evaluation in the larger context of other relevant evaluation and research.
It also has catalyzed interest in developing a strong future research and evaluation
agenda to support program development, improvement, and accountability. This
brief provides commentaries from researchers, evaluators, and practitioners
about new directions for research and evaluation in order to reframe the gotcha
accountability game into one of learning for continuous improvement and
accountability. Specifically, we asked, Given the recent push for science-based
research, coupled with the release of the first-year evaluation findings from
the 21st CCLC programs, where do we go from here to use research and evaluation
to support the development of high-quality out-of-school time programs?
In a world where the principles of scientific research are increasingly invoked
to guide policy, the decision to use the first-year data from an ongoing evaluation
to cut funding is producing considerable scientific scrutiny and critique of
the studys methodology and findingsscrutiny that is crucial for
scientific as well as policy advancement. We believe there should be an ongoing
exchange regarding methodological choices, trade-offs, and issues about how
to deal with the inevitable issues of real-world implementation
in this and other large-scale evaluations. Therefore, this brief includes a
commentary on the methodological issues in this particular evaluation and their
implications for current policy as well as for future evaluation design, implementation,
and use. It is our hope that this will stimulate a larger conversation about
a productive research and evaluation agenda, about solutions to methodological
problems, and about how to maximize the use of research and evaluation to support
policy formation and service improvement.
Steve Gunderson
Manager, Washington Office, The Greystone Group, Inc.
Former Congressman from Wisconsin
In 1996, as part of the Congressional reauthorization of the Elementary and
Secondary Education Act, I introduced legislation to create community
learning centers. Our goal was to find ways to more efficiently use school
resources, especially in rural and inner-city areas, for all citizens all year.
The Clinton administration strategically directed this broad language to create
todays after school program, funded at $1 billion annually in FY 2003.
In the No Child Left Behind Act the law transitioned to a state grant program.
Now, the administration seeks to add new standards to all federally funded programs
which I call the three Asacademics, access, and accountability.
Wed be wise to positively respond to this new focus. After school programming
is an important and growing component in the development of todays youth.
Yet we need to target these programs to those most in need, in ways that will
enhance a students academic progress, assuring limited public dollars
meet the test of accountability.
New research and evaluation is desperately needed to improve federal support
for this program. Certainly one study (Mathematicas) does not justify
ending the program. But with limited resources and the new focus on academics,
we must learn what worksespecially for at-risk students. Then, we must
restructure our programs to best achieve this goal. So, lets get on with
improving a good idea rather than defending the status quo. To do anything less
is to contribute to the death of the most significant expansion in federal support
for any K12 education program in recent years.
Kathleen McCartney
Professor, Harvard University Graduate School of Education
Cambridge, Massachusetts
Hard-won lessons of evaluation research have been lost in the administrations
response to the Mathematica evaluation of the 21st CCLC program. To evaluate
the administrations response, ask yourself these five questions.4
- Were the findings used as part of an ongoing innovation cycle? The
answer is clearly no. Many child advocates had hoped that this evaluation
would be used to promote continuous improvement. Instead, the administration
has acted based on first-year data, collected during the implementation phase
of the study.
- How were the effect size data interpreted? The Mathematica researchers
highlight in their executive summary that the small effect sizes were most
likely due to the low attendance rates, the length of the follow-up period,
and the lack of sustained, substantive academic support in most programs.
Although it is easy to dismiss the effects as small, this conclusion is no
doubt premature, especially in light of the fact that this is an ongoing evaluation.
- Were the findings from the Mathematica study synthesized with existing
data on after school programs in order to make an informed decision? No,
again. Instead, the administration embraced the Mathematica report as providing
the only relevant information with which to inform funding considerations.
- Did the administration have fair and reasonable scientific expectations?
Scholars agree that no one should expect the 21st CCLC program evaluation
to yield short-term effects on tests scores, echoing Ziglers early warnings
concerning Head Start.5 By what criteria
are the findings disappointing?
- Were the findings subjected to professional scrutiny? Given that
the administrations recommendations coincided with the release of the
report, the answer is no. This is the most troubling aspect of the administrations
response. Policy recommendations should not precede reactions from the scientific
community.
Accountability efforts and scientifically based research can either be used
to generate knowledge that informs effective practices or to serve as a political
lever to cut programs and expenditures on child and family services. Here we
have a sad example of that latteranother case of death by evaluation.6
Karen J. Pittman
Executive Director, Forum for Youth Investment
Washington, D.C.
The administrations proposed cut to the 21st CCLC budget is not surprising.
It is a rare elected official who expands rather than downsizes the pet programs
of a predecessor from the opposing party. Dozens of social programs will suffer
cutbacks in the next budget. What is surprising is that the administration has
broken its own rules for bringing science into policy discussions. By announcing
the cuts just as it released the report, opportunities for the research and
policy community to apply the new rules of scientifically based researchconducting
a rigorous, objective, and scientific review, discussing the findings, and debating
responses in light of findings from other equally scientific studieswere
effectively cut off.
Research should play a more central role in decisions to expand, redefine,
or reduce programs. When used correctly, it can be a powerful counterweight
to limit the big pendulum swings frequently associated with popular programs,
to accelerate the growth of effective programs, and even to curtail the expansion
of popular but ineffective programs. The Mathematica report includes promising
findings and valuable lessons that can inform both practice and policy. This
and other studies should serve as platforms for much needed conversations about
how to augment program quality and encourage longer and more intense participation.
By using the study to justify cuts, the administration has curtailed conversation
about a range of responsible strategies for improving the program, given these
and other findings. Our concern should be the same if the proposed program budget
had been doubled.
For a more detailed version of this commentary, visit the Forum for Youth
Investment website at www.forumforyouthinvestment.org/resspeech.htm.
Mindy DiSalvo
Program Director, Family Technology Resource Center
Decatur, Georgia
Because we want to know if our after school programs are the best that they
can be, we eagerly welcomed the opportunity to be a part of the national evaluation
of the 21st CCLC program. From the onset of the evaluation we were candid about
our strengths and weaknesses, providing honest information about a program in
its infancy. As a participant in the evaluation, I have two concerns related
to the emphasis and use of the evaluation results.
First, there were very positive findings in the 21st CCLC evaluationfindings
that could serve as a road map to improve existing and new programs, not
close the doors to them. Based on our concurrent evaluation data, we expanded
our curriculum, developed a parent/teacher/student homework completion policy,
translated materials into two languages, extended hours of operation, and hired
a nurse. We learned how to make our program better by using data. Therefore,
it seems that the emphasis should be on how we can learn from the new evaluation
report, and not what the report told us about academic impact.
Second, student achievement isnt, and never will be, solely a result
of after school programs. Student achievement isnt a result of textbooks
either, but we spend a fortune on them and no one is talking about cutting them
from a budget! Improved student achievement is a result of a combination of
components in a childs life, including how they spend their nonschool
hours. Before student achievement becomes a priority for many of our after school
programs, a safe place with a caring adult, friends, a healthy snack, and a
promise of security comes first.
Tiffany Berry
External Evaluator, LAs BEST
Los Angeles, California
LAs BEST uses evaluation data by transforming program outcomes into organizational
tools for program improvement Since the programs inception in 1988, LAs
BEST has placed a high priority on evaluation and we encourage feedback from
the programs diverse stakeholders. Monitoring of program quality has been
accomplished by leveraging internal sources (e.g., random site visits by the
board of directors, site activity logs, opportunities to communicate between
field and management staff, etc.), as well as data from external sources (e.g.,
the Center for the Study of Evaluation at University of California Los Angeles).
These data sources have yielded valuable insights, which have been fed back
into program operations
One of the most robust findings of the LAs BEST program relates to the
duration and intensity of participation. Our evaluation reports indicate that
when compared with nonparticipants, LAs BEST participants have fewer days
of absences from their regular school, higher achievement on standardized tests
in mathematics, reading, and language arts, and higher language redesignation
rates to English proficiency.7 In addition, we
have found that the relationship between participation intensity in one academic
year and academic achievement was mediated by regular school attendance. This
suggests that participating in LAs BEST resulted in better school attendance,
which in turn related to higher academic achievement.
James P. Connell
President, Institute for Research and Reform in Education
Toms River, New Jersey
Common sense tells us that public investment in programs serving youth should
start with a research-based rationale, or theory of change. This theory should
tell us how and why the proposed activities, in this case after school programs,
can reasonably be expected to produce the designated academic and social outcomes.
In the absence of alignment between program activities and expected outcomes,
the failure of the 21st CCLC program to produce its desired outcomes was virtually
preordained. Two remedies present themselves: start with the outcomes you want
and change program activities to those with a reasonable shot at achieving the
outcomes, or start with the activities you have and adjust your expectations
to outcomes they can achieve.
Either course makes some sense. The 21st CCLC evaluators call for remedy number
oneenriching after school programs with more research-based activities
tied to the desired outcomes. Many commentaries on the evaluation make energetic
pleas for remedy number twoholding programs accountable simply for providing
positive activities for young people while many of their parents are at work.8
The following steps could lead to better alignment between after school programs,
academic outcomes, and evaluation: (1) develop educational and recreational
activities to help students meet a small number of broad academic standards
that reflect the schools goals for their students, (2) give staff the
resources to actively engage young people in these activities in different ways,
and (3) assess the quality of implementation of these activities, their intended
outcomes, and the connection between the two. We have seen such a theory of
change approach help bring both realism and accountability to the work
of changing public education. We expect it could do the same for after school
programming.
|
Starting the Methodological Conversation
Playing by the Rules: The 21st CCLC Program Evaluation
Violates Established Research Standards
Deborah Lowe Vandell, Professor of Educational Psychology, University
of Wisconsin
As a researcher in the field of after school, as well as a member of
the scientific advisory board for the 21st Century Community Learning
Centers (21st CCLC) program evaluation, I am concerned about the serious
methodological problems that call into question the reports findings.
The authors of the first-year report of the national evaluation of the
21st CCLC program have contended that the evaluation is the most
rigorous examination to date of school-based after-school programs
(US Department of Education, 2003, p. xi) and that the research revealed
programs to have limited academic impact (US Department of
Education, 2003, p. xii). However, neither of these claims is justified
because the evaluation has serious methodological problems in both the
middle and elementary school samples. These problems make it impossible
to draw any meaningful conclusions (positive or negative) about program
effects.
Middle-School Evaluation Issues
The middle-school evaluation used a quasi-experimental design in which
students who were enrolled in a 21st CCLC program (the treatment group)
were contrasted with other students who were not enrolled in the program
(the comparison group). Baseline data were collected for the two groups
in fall 2000 and follow-up data were collected in spring 2001. Central
to the integrity of any quasi-experimental study is the need to establish
that treatment and comparison groups are comparable prior to the treatment
(i.e., at baseline). The middle-school evaluation failed to meet this
standard.
As documented in the September 12, 2002 Draft Interim Report (US
Department of Education, 2002), there were large differences in standardized
test scores at baseline between the treatment and comparison groups that
favored the comparison group (p<.00***). The mean standardized reading
score for the treatment subjects at baseline was the 39.7 percentile,
whereas the mean reading score for the comparison subjects was the 50.0
percentile at baseline. The mean percentile score in math for the treatment
group at baseline was 34.3 percentile versus 43.6 percentile for the comparison
group (p<.00***).
These test score differences indicate that the comparison students were
more academically competent than the treatment group on these key variables.
At a January 2002 meeting with researchers from Mathematica Policy Research
(the research organization that conducted the evaluation) and staff members
from the US Department of Education (who commissioned the evaluation),
the studys scientific advisory board advised the research team that
these baseline differences represented a significant challenge to the
integrity of the evaluation. Unfortunately, the study authors did not
address these baseline differences in their impact analyses.
As indicated in Table B.2 of the official first-year report (US Department
of Education, 2003, p. 140), baseline test scores were not controlled
for in the impact analyses nor were propensity analyses recomputed to
select a more appropriate comparison group that was matched to the treatment
group on these key variables. Instead, evidence of the baseline test scores
was removed from the first-year report (US Department of Education, 2003,
Table III.I, p. 55 and Table A.8, p. 127) and the authors did not acknowledge
the likelihood that findings were biased because of the baseline differences
in standardized test scores. Because the treatment students were much
less academically competent at baseline than were the comparison students,
the similarities in academic performance of the two groups at follow-up
(US Department of Education, 2003, p. 66) may even indicate that the programs
had succeeded in narrowing the gap in academic performance between the
two groups.
A second overarching issue with the middle-school evaluation pertains
to contamination of the treatment and comparison groups. Implementation
data, collected by the researchers, indicated that some schools districts
used monies from the 21st CCLC to fund the programs serving the treatment
subjects and monies from other sources to fund the same types of programs
for the comparison students. In essence, the programs differed only in
their source of funding. Because the researchers did not explicitly address
this issue in the report, it is not possible to ascertain the extent that
the comparison students were actually attending similar programs. In other
cases, as the researchers noted, comparison students actually attended
21st CCLC programs.
Elementary-School Evaluation Issues
The elementary-school evaluation used a random assignment experimental
design to assess program effects. The first-year elementary evaluation
has four fundamental problems.
- Baseline data were selectively omitted from the report, just as they
were for the middle-school evaluation. Baseline and follow-up math standardized
test scores were reported in the Draft Interim Report (US Department
of Education, 2002, pp. 93 and 97), but were omitted from the official
report that was released in February 2003 (US Department of Education,
2003, pp. 93 and 97). In the case of the elementary-school evaluation,
the baseline test scores were similar, but the follow-up scores showed
a widening of a performance gap that favored the treatment group. The
math scores of the treatment group increased during the evaluation year,
whereas the math scores in the control group decreased during the evaluation
year. Unfortunately, the study authors did not test these changes in
test scores to determine if they were statistically significant.
- Data were collected at only half of the intended sites. Instead of
examining impacts in 14 school districts as originally planned, data
were collected in only 7 school districts (a total of 18 different programs).
This reduced sample size substantially limited the investigators
ability to detect program effects.
- A substantial proportion (4 of 18 programs, or 22 percent) of the
programs in the elementary-school evaluation had only an incidental
focus on academic and developmental experiences for children. These
four programs were designed to serve adults in the schools community
(another focus area within the 21st CCLC program charge) and children
attended the center only when they accompanied their parent or grandparent.
It is not clear why or how these adult-focused programs would be expected
to directly impact child outcomes.
- Sites for the elementary-school evaluation are not representative
of the larger body of 21st CCLC programs. Consequently, it will not
be possible to use performance data (either positive or negative findings)
as indicators of the success or failure of 21st CCLC programs generally.
Final Thoughts
The methodological problems found in the first-year report are so serious
that I believe great caution must be taken in citing or using the study
findings. At the same time, it may be possible to address some of these
issues by a thorough reanalysis of the data. I encourage fellow researchers
to do just that when the data set becomes public. Through further study
and analysis of the public data set, I believe that we will better understand
the circumstances under which the 21st Century Community Learning Center
programs can support (or fail to support) childrens academic and
social development.
References
US Department of Education, Office of the Under Secretary. (2002, September
12). Draft interim report. When schools stay open late: The national
evaluation of the 21st-Century Community Learning Centers program, first
year findings. Washington, DC: Author.
US Department of Education, Office of the Under Secretary. (2003). When
schools stay open late: The national evaluation of the 21st-Century Community
Learning Centers program, first year findings. Washington, DC: Author.
Available at www.ed.gov/pubs/21cent/firstyear.
To read more information about the issues raised in this critique,
see the statement prepared by the members of the scientific advisory board
for the 21st CCLC evaluation (see Related Resources
below). The methodological conversation continues with Mathematicas
response to these issues (also listed in Related Resources
below).
|
Jacquelynne S. Eccles
McKeachie Collegiate Professor of Psychology, Womens Studies, and Education,
University of Michigan
As Chairperson for the National Research Council (NRC) committee that produced
Community Programs to Promote Youth Development,9 my comments reflect
my concern over the administrations decision to cut the funds for the
21st CCLC program based on one evaluation report. This seems a very strange
decision for an administration that stresses both the need for evidence-based
practice and the importance of supporting healthy adolescent development. Our
comprehensive report outlined the characteristics of many programs shown scientifically
to have positive effects on many different aspects of adolescent development
and provided examples of many high-quality programs with rigorously demonstrated
effectiveness. We also discussed what is needed for adequate evaluation to improve
these programs and make sound policy decisions. We proposed that the real challenge
for the field is to increase the availability and sustainability of high-quality
programs, especially in the context of unpredictable funding streams. We concluded
that increased funding for the 21st CCLC program was one step the federal government
could take to help increase the predictability of funding.
Consequently, I was appalled at the decision to cut these funds based on one
quite-limited evaluation. Very little attention was paid in this evaluation
to the characteristics of the programs being evaluated. Instead great attention
was paid to the quasi-experimental and experimental evaluation designs used.
As we discussed in the NRC report, these designs are powerful methodological
tools, but they are not particularly useful if we do not know the quality of
the programs being evaluated. If members of this administration truly value
evidence-based practice, then they should pay more attention to the evidence-based
reports that are so carefully put together by the NRC rather than use the results
of one report to justify funding cuts. The existing evidence suggests to me
that the administration should increase the funds for 21st CCLC program, but
require better specification of the exact characteristics of the programs eligible
for funding.
Where Do We Go From Here?
Heather Weiss, Director, Harvard Family Research Project
Cambridge, Massachusetts
We are now playing in a new evaluation game with new players and
new rules. The game is different because not only is research and evaluation
helping to shape policy, but the reverse also is true. Evaluation has always
been played out within a political frame, but the No Child Left Behind Act helped
define that frame by setting new rules or standards for research and evaluation
with its five principles for scientifically based research (SBR) in education.
Not everyone has agreed that the new evaluation game is being played with the
right set of rules. Some would argue that even if the end goal is to comply
with this set of rules, there needs to be a learning curve where programs are
held incrementally accountable for implementing the new scientifically based
standards. For example, the Mathematica impact evaluation, underway well before
the new SBR principles were signed into legislation, was prematurely subjected
to the new rules and the result has had potentially dire policy consequences.
As Pittman, Eccles, and McCartney point out in their commentaries, using one
evaluation report to justify a policy decision runs counter to the new rules
of SBRin fact, they argue that subjecting the impact report to the new
rules violates some of those rules very premises. Further, as Connell
points out, in order to accurately assess program impact, there must be alignment
between program activities and desired outcomes. In the case of the 21st CCLC
programs, old programs were held accountable for new outcomes, thereby almost
preordaining failure. Moving forward, all players must strive for
alignment between desired outcomes and program strategies.
Despite disagreement over the rules, we are now in a position where, like it
or not, the new rules are in play and we have to learn how to get in the
game. So how do we play in this new game? There are at least three approaches.
First, as Gunderson points out, we must learn what works, and we
must acknowledge the new game rules require after school programs to be accountable,
demonstrate results, and improve their quality. However, as noted evaluator
Mark Lipsey points out, individual evaluation studies, however useful
they may be to sponsors and stakeholders, yield approximate estimates of intervention
effects and the relationships of those effects to the features of the program
under assessment. Further, he points out that perhaps the most useful
and informative contribution to program managers and policymakers alike may
be the consolidation of our piecemeal knowledge into broader pictures of the
program and policy spaces at issue, rather than individual studies of specific
programs.10
Second, we need to shift from a system of gotcha accountability
to a system of learning for continuous improvement and accountability. In a
recent Washington Post commentary, former US Secretary of Education Richard
Riley notes that the original purpose of the evaluation was for continuous improvement,
not accountability. He points out that the Clinton administration did
commission this study, but the purpose was to learn how to make after school
programs even more effective
[not to provide] political cover11 for proposed
budget cuts. Our two practitioner commentators (DiSalvo and Berry) agree that,
even in the context of heightened accountability, to be good evaluation players
requires a commitment to using data for continuous improvement as well as to
show impact. A thorough reading of the Mathematica report reveals many promising
implementation findings that need to be brought into the light and used for
program improvement.
Third, there is increasing precedent for independent researchers to reanalyze
national evaluation data, particularly when there are substantial policy implications.
Mathematicas decision to make public the entire database of results from
its New York voucher study to independent researchers for reanalysis led to
discovery of methodological problems on the part of Mathematicas research
partner. This, in turn, substantiated Mathematicas cautions about the
studys findings and refuted their research partners conclusion that
voucher use among poor black children significantly improved test scores.12 As Vandell points
out in her methodological commentary, some of the issues that she feels plague
the recent 21st CCLC study could be addressed through a reanalysis of the data.
Years of evaluation research have taught us lessons that are too expensive to
learn again, such as dont make large-scale investments in evaluation unless
you are learning about program implementation along the way and dont evaluate
a program until it is proud.13 Moving forward,
our responsibility as evaluators is to take advantage of the unintended window
of opportunity provided to us by both old and new administrations to engage
in a dialogue about how to apply these lessons to the new game to ensure that
future research and evaluation of after school programs plays by the rules,
and is used to improve the overall quality of after school programs.
This Issues and Opportunities in Out-of-School Time Evaluation brief
was compiled by Heather Weiss, Director, and Priscilla Little, Project Manager
of Harvard Family Research Project. We welcome additional methodological commentary
and will post them to our website as they become available.
Notes
1 US Department of
Education, Office of the Under Secretary. (2003). When schools stay open
late: The national evaluation of the 21st-Century Community Learning Centers
program, first year findings. Washington, DC: Author. Available at www.ed.gov/pubs/21cent/firstyear.
2 US Department of
Education. (2003, February 3). Fiscal year 2004 education budget summary
and background information. Retrieved March 24, 2003, from www.ed.gov/about/overview/budget/budget04/summary/edlite-section2a.html#clcs
3 Ibid.
4 Weiss, H. B., &
McCartney, K. (2003, March). Data in a democracy: The evolving role of evaluation
in policy and program development. Paper presented at Child Development
and Social Policy: Knowledge for Action, a Festschrift in honor of Edward Zigler,
Washington, DC. Publication forthcoming.
5 Zigler, E., &
Muenchow, S. (1992). Head Start: The inside story of Americas most
successful educational experiment. New York: Basic Books.
6 Datta, L. (2001,
January). Avoiding death by evaluation in studying pathways through middle
childhood: The Abt evaluation of the Comer Approach. Paper presented at
the MacArthur Invitational Conference on Mixed Methods Research, Santa Monica,
CA.
7 Huang, D., Gibbons,
B., Kim, K. S., Lee, C., & Baker, E. L. (2000, June). A decade of results:
The impact of the LAs BEST after school enrichment program on subsequent
student achievement and performance. Los Angeles: University of California
Los Angeles, Center for the Study of Evaluation.
8 See, for example,
commentaries posted on the Afterschool Alliance website at: www.afterschoolalliance.org/voices_budget_cut.cfm.
9 Eccles, J., &
Gootman, J. A. (Eds.). (2002). Community programs to promote youth development.
Washington, DC: National Academies Press.
10 Lipsey, M. (1997,
Winter). What can you build with thousands of bricks? Musings on the cumulation
of knowledge in program evaluation. New Directions for Evaluation, 76,
723.
11 Riley, R. (2003,
April 8). School children left behind. The Washington Post, p. A32.
12 Winerip, M. (2003,
May 7). What a voucher study truly showed and why. New York Times, A27.
13 For a review
of these and other lessons learned from evaluation, see Weiss, H. B., &
McCartney, K. (2003, March). Data in a democracy: The evolving role of evaluation
in policy and program development. Paper presented at Child Development
and Social Policy: Knowledge for Action, a Festschrift in honor of Edward Zigler,
Washington, DC. Publication forthcoming.
Acknowledgements
Preparation of this brief was made possible through the support of the Charles
Stewart Mott Foundation. We would also like to thank Phil Sparks of the Communications
Consortium Media Center for his review of this brief.
Related Resources
Additional Commentary
The Afterschool Alliance, a nonprofit organization dedicated to raising
awareness for and advocating on behalf of after school programs, has compiled
reactions to the administrations 21st CCLC program budget decisions
from voices across the nation, including their own Executive Director,
Judy Samelson. To view this set of commentaries go to www.afterschoolalliance.org/voices_budget_cut.cfm
Bissell, J. S., Cross, C. T., Mapp, K, Reisner, E., Vandell, D. L., Warren,
C., & Weissbourd, R. (2003, May 10). Statement released by members
of the scientific advisory board for the 21st Century Community Learning
Center evaluation. Document posted as attachment to message posted
to Promising Practices in After School electronic mailing list, archived
at listserv.aed.org/cgi-bin/wa?A2=ind0305&L=ppas&F=&S=&P=4255
Boyle, P. (2003, March). After-school programs: Fed study, funding
slash show results: anger. Youth Today, 12(3).
Dynarski, M., & Moore, M. (2003, May 13). Response to May 7,
2003, letter from selected members of the technical working group for
the 21st Century Community Learning Centers evaluation. Princeton,
NJ: Mathematica Policy Research. www.mathematica-mpr.com/press%20releases/Past%20Releases/twgresponse.asp
Dynarski, M. (2003, February 11). Response to the Afterschool Alliance
on the findings of the 21st Century evaluation. Message posted to
Promising Practices in After School electronic mailing list, archived
at listserv.aed.org/cgi-bin/wa?A1=ind0302&L=ppas#41
Mathematica Policy Research, Inc. (2003, February 4). Largest federal
after-school program shows mixed results nationwide. Princeton,
NJ: Author. www.mathematica-mpr.com/press%20releases/past%20releases/21stcenturyfinal.asp
Mathews, J. (2003, April 22). Academic research a study in politics.
The Washington Post, p. A7.
Paige, R. (2003, April 1). We must spend our education dollars wisely.
The Washington Post, p. A14.
Pittman, K. (2003, March). Politics + science = science fiction.
Washington, DC: The Forum for Youth Investment. www.forumforyouthinvestment.org/_portaldoc.cfm?LID=DCA30A27-
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Afterschool Alliance. (2003, March). Closing the doors on afterschool
programs: An analysis of how the proposed cut to the 21st Century Community
Learning Centers program will affect children and families in every state.
Washington, DC: Author. www.afterschoolalliance.org/budget_report.cfm
Eccles, J., & Gootman, J. A. (Eds.). (2002). Community programs
to promote youth development. Washington, DC: National Academies
Press. This report explores the role of youth development programs and
how best to design programs that enable youth to develop into healthy,
happy, and productive adults. Policy, practice, and research recommendations
to address the developmental needs of youth are included. www.nap.edu/catalog/10022.html
Little, P. M. D. (Ed.). (2003, Spring). Evaluating out-of-school time
[Special issue]. The Evaluation Exchange, 9(1). www.gse.harvard.edu/hfrp/eval/issue21
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Winerip, M. (2003, May 7). What a voucher study truly showed and why.
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