National Study to Inform the 21st Century Community Learning Centers Program
Part A: Supporting Statement for Paperwork Reduction Act Submission
Submitted to:
Institute of Education Sciences
National Center for Education Evaluation and Regional Assistance
Washington, DC 20202
Project
Officer: Erica Johnson
Contract Number: 91990019C0056
Submitted by:
Mathematica
P.O.
Box 2393
Princeton, NJ 08543-2393
Telephone: (609)
799-3535
Fax: (609) 799-0005
Project
Director: Susanne James-Burdumy
Reference Number: 50846
A. Justification 1
Introduction 1
A1. Circumstances making the collection of information necessary 1
A2. Purposes and use of the information collection 2
A3. Use of information technology to reduce burden 6
A4. Efforts to identify duplication 7
A5. Efforts to minimize burden in small businesses 7
A6. Consequences of not collecting the information 8
A7. Special circumstances justifying inconsistencies with guidelines in 5 CFR 1320.6 8
A8. Federal register announcement and consultation 8
A9. Payments or gifts 9
A10. Assurances of confidentiality 10
A11. Questions of a sensitive nature 11
A12. Estimates of response burden 11
A13. Estimate of total capital and startup costs/operation and maintenance costs to respondents or record-keepers 13
A14. Annualized cost to the federal government 13
A15. Reasons for program changes or adjustments 13
A16. Plans for tabulation and publication of results 13
A17. Approval not to display the expiration date for OMB approval 15
A18. Exception to the certification statement 15
REFERENCES 16
Appendix A: Confidentiality Agreement
Appendix B: Afterschool Center Coaching Log
Appendix C: Request for Student Afterschool Attendance Records
Appendix D: Parent/Guardian Questionnaire
Appendix E: Parent/Guardian Permission Form
A.2. Data sources for the study
A.3. Major data collection activities, by year
A.4. Participants in the June 2020 Technical Working Group meeting
A.5. Proposed incentives and comparison to NCEE guidelines
A.6. Estimated respondent time burden and cost
A.7. Estimation methods for each study research question
The U.S. Department of Education (ED)’s Institute of Education Services (IES) requests clearance for data collection activities to support a study of afterschool strategies in the Nita M. Lowey 21st Century Community Learning Centers (21st CCLC) program. The 21st CCLC program funds services during nonschool hours, primarily during the school year.1 The services aim to help students meet state academic standards, particularly for students in low-performing schools that serve high concentrations of low-income families (U.S. Department of Education 2018a).2 Afterschool centers supported by program funds provide a broad range of activities and services, such as academic enrichment, physical activity, service learning, and activities to engage families. Program activities and services may play a crucial role in addressing the substantial learning loss and other challenges that have occurred as a result of the COVID-19 pandemic (Kuhfeld et al. 2020).
This study will have two components. The first is a national snapshot of strategies that afterschool centers in the 21st CCLC program use to serve their students and families. The national snapshot will complement and extend information from the program’s annual performance measures by providing an in-depth understanding of the outcomes centers aim to promote and the diverse ways their activities and services for students and families, supports for staff, and improvement strategies are designed to promote these outcomes. Describing these strategies can provide insights into ways that centers seek to address longer-term challenges, such as learning loss and trauma, stemming from the pandemic. The second component is an evaluation of a continuous quality improvement system implemented in the program’s afterschool centers (referred to as the “National Study of Continuous Quality Improvement to Inform the 21st CCLC Program”). The evaluation will examine the implementation and effectiveness of a system focused on improving staff practices that promote students’ social and emotional skills. Promoting these skills may be particularly important to compensate for the effects of the pandemic, in light of evidence that remote learning has negatively affected students’ social and emotional well-being (Duckworth et al. 2021).
The 21st CCLC program faces a need for two types of information this study is designed to collect. First, the program needs information on afterschool centers’ strategies for meeting students’ needs, which can help program stakeholders identify areas of strength and priorities for further support. Prior national studies of the program were conducted more than a decade ago (Dynarski et al. 2004; Black et al. 2009; Penuel and McGhee 2010). Since that time, the program has changed significantly. For example, the Every Student Succeeds Act, which reauthorized the program in 2015, established new requirements for how states monitor grantee performance that emphasized tracking student progress and also stressed the use of evidence-based practices. While the program’s annual performance measures provide data on a variety of important outcomes, they do not provide detailed information on the specific ways in which centers promote key student and family outcomes that contribute to student success. Afterschool centers in the 21st CCLC program may offer activities and services focused on various outcomes such as academic skills, social and emotional development, physical well-being, and family engagement. This study will fill a critical gap by describing the avenues through which afterschool centers strive to promote student success, and therefore, work to advance the program’s goals.
Improving program quality has long been a focus of afterschool program developers and researchers (Vandell 2013; Naftzger et al. 2018; Allen et al. 2019), and evidence on the effectiveness of promising program improvement strategies is the second type of information that would benefit the program. A continuous quality improvement system consisting of tools, procedures, and supports for improving program quality is one such strategy that has strong appeal to the 21st CCLC program. This strategy is applicable to a wide range of afterschool centers and can be tailored to each center’s circumstances and needs. Despite several states adopting such systems, there is limited rigorous evidence of this strategy’s effectiveness.
IES contracted with Mathematica and its partners—the Forum for Youth Investment’s Weikart Center for Youth Program Quality, Pemberton Research, Research for Action, and Synergy Enterprises (together, “the study team”)—to conduct this study. The study’s two components will address a variety of research questions (Exhibit A.1).
Exhibit A.1. Research questions
The national snapshot of afterschool centers’ strategies will be based on information from a nationally representative sample of centers in the 21st CCLC program in spring 2022. The study will examine the outcomes these centers aim to promote and the strategies they use to promote them.
The evaluation of a continuous quality improvement system will examine a system based on a repeating cycle of activities whereby afterschool centers assess their own quality, develop improvement plans, and implement these plans through trainings and other staff supports. Prior research found this type of system improved the quality of staff practices (Smith et al. 2012) but did not examine effects on student outcomes. The system to be tested here is designed to promote students’ social and emotional skills, which prior evidence suggests can be influenced by afterschool practices (Durlak et al. 2010) and relate to academic outcomes emphasized by the 21st CCLC program (Cunha et al. 2010; Kautz et al. 2014; U.S. Government Accountability Office 2017).
The evaluation will provide evidence on whether a continuous quality improvement system focused on students’ social and emotional skills implemented over two school years (2021-22 and 2022-23) can lead to better student outcomes. Implementing the system over a two-year period will allow sufficient time for study-provided trainings and supports to influence the practices of afterschool center staff and for those practices to influence student outcomes. The evaluation will be based on an experimental design, in which an anticipated 100 participating afterschool centers will be randomly assigned to either a treatment group that will implement the continuous quality improvement system or a control group that will not.
This package discusses all data collection activities proposed for the two components of the study. However, the package only requests clearance for data collection activities that will occur before March 2022 and impose burden on respondents. These activities, all part of the evaluation of a continuous quality improvement system, involve collecting parent/guardian questionnaires and permission forms, afterschool center coaching logs, and student afterschool attendance records. A separate package will be submitted at a later date to request clearance for data collection activities that will occur in March 2022 or later.
The study’s analysis will rely on administrative data, observations, interviews, and surveys to address the study’s research questions. Exhibit A.2 shows the mode of data collection and purpose of each data source.
Exhibit A.2. Data sources for the study
Data |
Type of data (primary or administrative) |
Source |
Mode of collection |
Use(s) in study |
National snapshot of afterschool centers’ strategies |
||||
Afterschool center director survey |
Primary |
Afterschool center directors |
Web survey |
|
Evaluation of a continuous quality improvement system |
||||
Afterschool center observations (no burden) |
Primary |
Independent observers’ ratings |
In-person center observation |
|
Afterschool center coaching log |
Primary |
Afterschool center directors and co-leads in centers assigned to the treatment group |
Web form |
|
Afterschool center director interview |
Primary |
Afterschool center directors |
In-person interview |
To document:
|
Student afterschool attendance records |
Administrative |
Afterschool centers |
Electronic submission or paper |
|
District administrative records |
Administrative |
School districts |
Electronic submission |
|
Afterschool center staff survey |
Primary |
Afterschool center staff |
Paper survey |
To document:
|
Student survey |
Primary |
Selected students in afterschool centers |
Paper survey |
|
School-day teacher survey |
Primary |
Selected school-day teachers of students in the sample |
Paper survey |
|
Parent/guardian questionnaire and permission form |
Primary |
Parents/guardians of all students who attend the study afterschool centers in the first month of the 2021-2022 school year |
Paper survey |
|
Notes: Shaded rows indicate
the data sources for which clearance is being requested in this
submission. Clearance will be requested in a future submission for
other rows.
The study will last approximately six years (July 2019 to June 2025), with data collection occurring from fall 2021 through fall 2023. Exhibit A.3 shows the schedule of data collection activities.
Exhibit A.3. Major data collection activities, by year
|
Data collection activities for |
|
Timing |
National snapshot of afterschool centers’ strategies |
Evaluation of a continuous quality improvement system |
Fall 2021 |
|
|
Winter 2021 |
|
|
Spring 2022 |
|
|
Spring 2023 |
|
|
Fall 2023 |
|
The data collection plan is designed to obtain information in an efficient way that minimizes respondent burden. When feasible, the study team will gather information from existing data sources, using the most efficient methods available. The study team will use technology to reduce burden for the data sources described below.
Afterschool center director survey. The study team will ask 21st CCLC center directors to complete a web-based survey. Respondents will be able to complete the data collection instrument at a location and time of their choice, and the survey’s built-in checks and programmed skips will reduce errors.
Afterschool center coaching log. The study team will ask afterschool center directors and co-leads to complete a web-based coaching log after every coaching session they conduct with afterschool center staff. Respondents will be able to complete the log at a location and time of their choice, and the log’s built-in checks and programmed skips will reduce errors.
Afterschool center director interview. Trained interviewers from the study team will interview afterschool center directors in person. Interviewers will take notes with laptop computers and, with respondents’ permission, audio-record the interviews. This approach will not reduce the burden on respondents but will facilitate accurate analysis of the data.
Student afterschool attendance records. To minimize burden on afterschool centers when collecting these data, afterschool centers will be able to submit these data either electronically or in paper form, depending on which approach is most convenient to them. If they choose to submit the data electronically, the study team will ask them to upload the data to a secure file transfer site. If they submit the data in paper form, Mathematica field staff will collect these documents and enter the data into an electronic form for analysis.
District administrative records. The study team will ask districts to submit administrative records in an electronic form using a secure file transfer site. Although the study team will specify the required data elements, the study team will reduce burden on the district by accepting any format in which the data are provided. Regardless of the form in which it is received, the data will be converted to a consistent format so that it can be combined with data submitted by other districts and will be suitable for analysis.
No similar studies are being conducted, and there is no equivalent source for the information to be collected. Moreover, the data collection plan reflects careful attention to the potential sources of information for this study, particularly to the reliability of the information and the efficiency in gathering it. The data collection plan avoids unnecessary collection of information from multiple sources. For example, student achievement will be measured using scores from state-administered student assessments, instead of administering an assessment as part of this study. Information obtained from the afterschool center staff survey, student survey, school-day teacher survey, and parent/guardian questionnaire and permission form is not available elsewhere.
No small businesses will be involved in this study. The primary small entities for this study are afterschool centers and school districts. The data collection procedures have been designed to minimize burden on these entities:
Afterschool centers. To minimize burden on afterschool centers when collecting student afterschool attendance records, the study team will communicate with afterschool center administrative staff in advance of the request to ensure they understand what is being asked of them. As discussed in Section A3, afterschool centers will be able to provide the data in whatever format—electronic or paper—is most convenient for them. If they submit the records in paper form, the study team will pick up the records at a time that is convenient for them. The only other data collection activity involving afterschool centers, afterschool center observations, imposes no burden on the centers.
School districts. To minimize burden on school districts when collecting administrative records, the study team will request only the variables and records that are essential to addressing the study’s research questions. In addition, the study team will collect all requested records from each district at one time (Fall 2023) to avoid repeated requests.
The data collection plan described in this submission is necessary for ED to characterize the strategies of afterschool centers in the 21st CCLC program and generate evidence about the effects of a continuous quality improvement system on afterschool centers’ staff practices and students’ outcomes. Without these data, the 21st CCLC program would not have up-to-date descriptive information on the student outcomes that centers in the program aim to promote or the strategies they use to promote these outcomes. Program stakeholders would lack recent, national, and large-scale evidence on the effectiveness of promising strategies.
There are no special circumstances associated with this data collection.
A 60-day notice to solicit public comments was published in the Federal Register, Volume 86, No. 30, pages 9915–9916 on February 17, 2021. Four public comments were received, and no changes to this clearance request were made in response to those comments.
The 30-day notice will be published to solicit additional public comments.
To inform the design of both components of the study, the study team convened an external Technical Working Group (TWG) meeting in June 2020 that included individuals with expertise in the 21st CCLC program, afterschool strategies, social and emotional skills, evaluation design, and statistical analyses. Input from the meeting will help ensure the study is of the highest quality and that findings are relevant to policymakers and program stakeholders at the state, grantee, and center levels. Exhibit A.4 provides the names, titles, and affiliations of the eight individuals who participated in the TWG meeting.
Exhibit A.4. Participants in the June 2020 Technical Working Group meeting
Name |
Title and affiliation |
Tom Akiva |
Associate Professor, University of Pittsburgh |
Jean Grossman |
Senior Fellow, MDRC; Lecturer in Economics and Public Affairs, Princeton University |
Jan Handa |
Manager, 21st CCLC Grant Program, Nebraska Department of Education |
Gwynn Hughes |
Senior Program Officer, Charles Stewart Mott Foundation |
Stephanie Jones |
Gerald S. Lessor Professor in Early Childhood Development, Harvard University |
Chris Rhoads |
Associate Professor, University of Connecticut |
Elizabeth Sanders |
Associate Professor, University of Washington |
Lorraine Thoreson |
Manager, 21st CCLC Grant Program, Michigan Department of Education |
There are no unresolved issues.
Burden payments have been proposed for afterschool center staff, school-day teachers, and afterschool centers in the study. Compensating study participants for their time and effort to complete the study’s surveys and forms will help the study achieve high response rates on these data collection activities. High response rates will, in turn, allow the study team to more accurately address the study’s research questions.
Exhibit A.5 details the proposed payments and their justification. Payments will be made in the form of a check or gift card. Afterschool center staff and school-day teachers will receive payments for completing the surveys administered to them. Afterschool centers will be asked to assist with collecting the student survey and following up with absent students, as well as distributing and collecting the parent/guardian questionnaire and permission form. The afterschool centers will receive payments if the response rate at their center exceeds 90 percent for the student survey or the parent/guardian questionnaire and permission form. The proposed amounts for all payments are consistent with the incentive guidelines outlined in the March 22, 2005 memo, “Guidelines for Incentives for NCEE Evaluation Studies,” prepared for OMB.
Exhibit A.5. Proposed incentives and comparison to NCEE guidelines
Mathematica and its research partners will conduct all data collection activities for this study in accordance with relevant regulations and requirements, which are:
The Privacy Act of 1974, P.L. 93-579 (5 U.S.C. 552a)
The “Buckley Amendment,” Family Educational Rights and Privacy Act (FERPA) of 1974 (20 U.S.C. 1232g; 34 CFR Part 99)
The Protection of Pupil Rights Amendment (PPRA) (20 U.S.C. 1232h; 34 CFR Part 98)
The Education Sciences Reform Act of 2002, Title I, Part E, Section 183
The study team will protect the confidentiality of all data collected for the study and will use it for research purposes only. The Mathematica project director will ensure that all individually identifiable information about respondents remains confidential. All data will be kept in secured locations, and identifiers will be destroyed as soon as they are no longer required. All members of the study team having access to the data will be trained and certified on the importance of confidentiality and data security. When reporting the results, data will be presented only in aggregate form, such that individuals, schools, afterschool centers, grantees, and districts are not identified. Included in all voluntary requests for data will be the following or similar statement:
“Mathematica and its subcontractors—Pemberton Research, Research for Action, Synergy Enterprises, and the Forum for Youth Investment—follow the confidentiality and data protection requirements of IES (The Education Sciences Reform Act of 2002, Title I, Part E, Section 183). Responses to this data collection will be used only for research purposes. The reports prepared for the study will summarize findings across the sample and will not associate responses with a specific regional or district afterschool program, afterschool center, district, school, or individual. We will not provide information that identifies respondents to anyone outside the study team, except if required by law.”
The following safeguards are routinely used by Mathematica to maintain data confidentiality, and they will be consistently applied to this study:
All Mathematica employees are required to sign a confidentiality pledge (Appendix A) that emphasizes the importance of confidentiality and describes employees’ obligations to maintain it.
Personally identifiable information (PII) is maintained on separate forms and files, which are linked only by random, study-specific identification numbers.
Access to hard copy documents is strictly limited. Documents are stored in locked files and cabinets. Discarded materials are shredded.
Access to computer data files is protected by secure usernames and passwords, which are only available to specific users who have a need to access the data and who have the appropriate security clearances.
Mathematica’s standard for maintaining confidentiality includes training staff regarding the meaning of confidentiality, particularly as it relates to handling requests for information, and providing assurance to respondents about the protection of their responses. It also includes built-in safeguards concerning status monitoring and receipt control systems. In addition, all study staff who have access to confidential data must obtain security clearance from ED, which requires completing personnel security forms, providing fingerprints, and undergoing a background check.
No questions of a sensitive nature will be included in this study.
For the data collection activities occurring before March 2022—the focus of this clearance request—the total response burden is 1,191 hours.
Exhibit A.6 provides an estimate of time burden for the data collection activities, broken down by instrument and respondent. In addition, the exhibit presents estimates of indirect costs to all respondents for each data collection instrument.
Exhibit A.6. Estimated respondent time burden and cost
Respondent type and data collection activity |
Time per response (hours) |
Maximum number of responses per respondent |
Number of respondents |
Total time burden (hours) |
Average hourly wage |
Cost per response |
Total cost burden |
|
Evaluation of a continuous quality improvement system, July 1, 2021 – February 28, 2022 |
||||||||
Afterschool center directors |
|
|
|
|||||
Afterschool center coaching log (Nov. 2021-Feb. 2022) |
0.08 |
15 |
50 |
60 |
$25.81a |
$2.06 |
$1,549 |
|
Afterschool center staff |
||||||||
Afterschool center coaching log (Nov. 2021- Feb. 2022) |
0.08 |
15 |
50 |
60 |
$15.93b |
$1.27 |
$956 |
|
Afterschool centers |
|
|
|
|||||
Student afterschool attendance records (winter 2021-2022) |
2 |
1 |
100 |
200 |
$18.84c |
$37.68 |
$3,768 |
|
Parents and guardians |
|
|
|
|||||
Parent/guardian questionnaire and permission form (fall 2021) |
0.25 |
1 |
3,485 |
871 |
$25.72d |
$6.43 |
$22,402 |
|
Hours and cost totals |
|
|
|
1,191 |
|
|
$28,675 |
a Average hourly wage for center directors is the wage for “Preschool and daycare education and childcare administrators” from the U.S. Bureau of Labor Statistics (2019).
b Average hourly wage for afterschool center staff is the wage for “Other teachers and instructors” from the U.S. Bureau of Labor Statistics (2019).
c Average hourly wage for afterschool center front office staff is the wage for “Secretaries and administrative assistants, except legal, medical, and executive” from the U.S. Bureau of Labor Statistics (2019).
d Average hourly wage for parents is the wage for “All Occupations” from the U.S. Bureau of Labor Statistics (2019).
There are no direct, start-up, or maintenance costs to respondents or record keepers associated with this data collection.
The total cost to the federal government for this study is $13,059,008. The estimated average annual cost over the six-year evaluation is $2,176,501.
This is a new collection.
The study team will address the research questions for each component of the study using descriptive, comparative, and regression analyses (Exhibit A.7):
National snapshot of afterschool centers’ strategies
Descriptive analyses: The study team will calculate the average values of continuous variables. For categorical variables, the study team will calculate the percentage of sample members in each category. The study team will also report measures of the precision of these estimates, such as confidence intervals.
Comparative analyses: To compare groups, such as comparing characteristics of different types of centers, the study team will report the magnitudes of differences between groups and assess their statistical significance.
Evaluation of a continuous quality improvement system
Descriptive analyses: The study team will apply the same approach for descriptive analyses as in the national snapshot of afterschool centers’ strategies.
Comparative analyses: The study team will apply the same approach for comparative analyses as in the national snapshot of afterschool centers’ strategies.
Regression analyses: The study team will use regression analyses in two ways. First, the study team will use them to estimate the effect of the continuous quality improvement system on afterschool center staff practices and student outcomes. The study team plans to control for covariates that represent baseline characteristics of students and their families, including students’ demographic characteristics and baseline social and emotional skills. Second, the study team will use regression analyses to understand the circumstances under which the continuous quality improvement system may be most successful. To do so, the study team will examine how effects on student outcomes and staff practices relate to key factors, such as characteristics of the centers and the ways they implemented the continuous quality improvement system.
Exhibit A.7. Estimation methods for each study research question
Research question |
Descriptive analyses |
Comparative analyses |
Regression analyses |
National snapshot of afterschool centers’ strategies |
|||
RQ 1. What key outcomes for students and families do afterschool centers in the 21st CCLC program aim to promote, and what strategies do they use to promote them? |
X |
X |
|
|
X |
X |
|
|
X |
X |
|
Evaluation of a continuous quality improvement system |
|||
RQ2. To what extent did centers implement key aspects of the continuous quality improvement system in the first year of the system? What challenges did they encounter in implementing the system, and how did they address these challenges? |
X |
|
|
RQ 3. Across two years, what improvement strategies were used by centers that implemented the continuous quality improvement system? How did these differ from centers that did not implement the system? |
X |
X |
|
|
X |
X |
|
|
X |
X |
|
RQ 4. How did the system affect the practices of center staff, including practices to promote students’ social and emotional skills? How did the system affect students’ social and emotional skills? |
|
|
X |
|
|
|
X |
|
|
|
X |
RQ 5. What is the cost-effectiveness of the continuous quality improvement system? |
X |
|
|
The study team will prepare publications for both components of the study, including two reports and one brief.
The first report, to be released in 2023, will provide findings from the national snapshot of afterschool centers’ strategies (research question 1). Using a nationally representative sample of 21st CCLC afterschool centers, it will describe the outcomes for students and families that centers aim to promote; the diverse ways that centers use activities and services for students and families, supports for staff, and improvement strategies to promote these outcomes; and challenges the centers face as well as the strategies they use to address those challenges.
The brief, to be released in 2023, will describe treatment centers’ early experiences implementing the continuous quality improvement system (research question 2). It will document the extent to which the centers put into place key aspects of the system in the first year of its implementation. It will also describe centers’ challenges in implementing the system and their strategies to address them.
The final report, to be released in 2025, will examine both the implementation and effectiveness of the continuous quality improvement system over two years (research questions 3 through 5). It will describe the extent to which treatment centers implemented the system as intended; the resulting contrast between treatment and control centers in their approaches to quality improvement; the effects of the system on staff practices and students’ social and emotional skills; how the effects of the system were related to key factors (such as students’ attendance, centers’ characteristics, and the ways in which centers implemented the system); and the system’s cost-effectiveness.
The Institute of Education Sciences is not requesting a waiver for the display of the OMB approval number and expiration date. The study will display the OMB expiration date.
No exceptions to the certification statement are requested or required.
Allen, P.J., R. Chang, B.K. Gorrall, L. Waggenspack, E. Fukuda, T.D. Little, and G.G. Noam. “From Quality to Outcomes: A National Study of Afterschool STEM Programming.” International Journal of STEM Education, vol. 6, 2019.
Black, A., M. Somers, F. Doolittle, R. Unterman, and J. Grossman. “The Evaluation of Enhanced Academic Instruction in After-School Programs: Final Report.” NCEE 2009-4077. Washington, DC: U.S. Department of Education, Institute of Education Sciences National Center for Education Evaluation and Regional Assistance, September 2009.
Cunha, F., J. J. Heckman, and S. M. Schennach. “Estimating the Technology of Cognitive and Noncognitive Skill Formation.” Econometrica, vol. 78, no. 3, 2010, pp. 883–931.
Duckworth, A., T. Kautz, A. Defnet, E. Satlof-Bedrick, S. Talamas, and L. Steinberg. “The Thriving Gap: Students Attending School Remotely Suffer Socially, Emotionally, and Academically.” Unpublished manuscript, 2021.
Durlak, J. A., R. P. Weissberg, and M. Pachan. “A Meta-Analysis of After-School Programs That Seek to Promote Personal and Social Skills in Children and Adolescents.” American Journal of Community Psychology, vol. 45, nos. 3–4, 2010, pp. 294–309.
Dynarski, M., S. James-Burdumy, M. Moore, L. Rosenberg, J. Deke, and W. Mansfield. “When Schools Stay Open Late: The National Evaluation of the 21st-Century Community Learning Centers Program: New Findings.” Washington, DC: U.S. Department of Education, Institution of Education Sciences, National Center for Education Evaluation and Regional Assistance, 2004.
Elliott, S. N., C. J. Anthony, J. C. DiPerna, P. Lei, and F. M. Gresham. “SSIS Brief Scales Series.” Scottsdale, AZ: SAIL CoLab, 2020.
Kautz, T., J. J. Heckman, R. Diris, B. Ter Weel, and L. Borghans. “Fostering and Measuring Skills: Improving Cognitive and Non-Cognitive Skills to Promote Lifetime Success.” Working Paper 20749. Cambridge, MA: National Bureau of Economic Research, 2014.
Kuhfeld, M., J. Soland, B. Tarasawa, A. Johnson, E. Ruzek, and J Liu. Borghans. “Projecting the Potential Impact of COVID-19 School Closures on Academic Achievement.” Educational Researcher, vol. 49, no. 8, pp. 549-565, 2020.Naftzger, N. “A Summary of Three Studies Exploring the Relationships Between Afterschool Program Quality and Youth Outcomes.” Conference paper presented at 2014 Ready by 21 National Meeting. Washington, DC: American Institutes for Research, 2014.
Naftzger, N., S. Sniegowski, C. Smith, and A. Riley. “Exploring the Relationship between Afterschool Program Quality and Youth Development Outcomes: Findings from the Washington Quality to Youth Outcomes Study.” Naperville, IL: American Institutes for Research, 2018.
Penuel, W. R., and R. McGhee, Jr. “21st Century Community Learning Centers Descriptive Study of Program Practices.” Washington, DC: U.S. Department of Education, Office of Planning, Evaluation and Policy Development, 2010.
Smith, C., T. Akiva, S. Sugar, Y. Lo, K. Frank, S. Peck, K. Cortina, and T. Devaney. “Continuous Quality Improvement in Afterschool Settings: Impact Findings from the Youth Program Quality Intervention Study.” Washington, DC: Forum for Youth Investment, 2012.
U.S. Department of Education. “21st Century Community Learning Centers.” March 2018a. Available at https://www2.ed.gov/programs/21stcclc/index.html. Accessed November 11, 2020.
U.S. Department of Education. “21st Century Community Learning Centers (21st CCLC) Analytic Support for Evaluation and Program Monitoring: An Overview of the 21st CCLC Performance Data: 2016–17.” 13th report. Washington, DC: U.S. Department of Education, 2018b.
U.S. Government Accountability Office. “Education Needs to Improve Oversight of its 21st Century Program.” GAO-17-400. Washington, DC: U.S. Government Accountability Office, 2017.
U.S. Bureau of Labor Statistics. “May 2019 Occupation Profiles.” May 2019. Available at https://www.bls.gov/oes/current/oes_stru.htm.
Vandell, D. L. “Afterschool Program Quality and Student Outcomes: Reflections on Positive Key Findings on Learning and Development from Recent Research.” In W. S. White & T. K. Peterson (Eds.), Expanding minds and opportunities: Leveraging the power of afterschool and summer learning for student success, 2013. Retrieved 12/8/20 from https://www.expandinglearning.org/expandingminds/article/afterschool-program-quality-and-student-outcomes-reflections-positive-key.
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1 Most participants (71 percent) are students attending afterschool centers during the school year, with the remainder being family members (14 percent) or summer attendees (15 percent; U.S. Department of Education 2018b).
2 For the 2020-2021 school year, states could apply for a waiver that would allow 21st CCLC programs to provide supplemental activities during the school day when students are not receiving in-person instruction, such as activities that would support students’ remote learning.
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File Created | 2021-05-04 |