Effects of after-school programs with at-risk youth on attendance and externalizing behaviors: A systematic review and meta-analysis
Open accessAbstract
The popularity, demand, and increased federal and private funding for after-school programs have resulted in a marked increase in after-school programs over the past two decades. After-school programs are used to prevent adverse outcomes, decrease risks, or improve functioning with at-risk youth in several areas, including academic achievement, crime and behavioral problems, socio-emotional functioning, and school engagement and attendance; however, the evidence of effects of after-school programs remains equivocal. This systematic review and meta-analysis, following Campbell Collaboration guidelines, examined the effects of after-school programs on externalizing behaviors and school attendance with at-risk students. A systematic search for published and unpublished literature resulted in the inclusion of 24 studies. A total of 64 effect sizes (16 for attendance outcomes; 49 for externalizing behavior outcomes) extracted from 31 reports were included in the meta-analysis using robust variance estimation to handle dependencies among effect sizes. Mean effects were small and non-significant for attendance and externalizing behaviors. A moderate to large amount of heterogeneity was present; however, no moderator variable tested explained the variance between studies. Significant methodological shortcomings were identified across the corpus of studies included in this review. Implications for practice, policy and research are discussed.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 64 cited sources checked · 0 supported · 0 flagged
- Findingnone given
Significant methodological shortcomings exist across the corpus of studies included in this review.
“Significant methodological shortcomings were identified across the corpus of studies included in this review.”
Quote in the paperSubstantial claim - Findingown data
Moderator analyses for attendance did not reveal significant differences (p > .05).
“As presented in Table 5, the results of the moderator analyses did not reveal significant differences (p > .05).”
Quote in the paperNot a substantial claim - Findingown data
Nineteen studies with 49 effect sizes were analyzed for externalizing behavior outcomes.
“and 19 studies with 49 effect sizes were included in the analysis of externalizing behavior outcomes.”
Quote in the paperSubstantial claim - Findingown data
The meta-analysis of attendance outcomes found a very small, non-statistically significant treatment effect (g = 0.04, 95% CI −0.02, 0.10).
“The results of the synthesis indicated a very small, non-statistically significant treatment effect (g = 0.04, 95 % CI −0.02, 0.10).”
- Also stated in: § Discussion · plain
“Overall, the after-school programs included in this review were found to have small and non-significant effects on externalizing behavior and school attendance outcomes.”
Quote in the paperSubstantial claim- Rests on an assumption: School attendance and externalizing behavior are distinct latent constructs that require separate meta-analyses.
- Also stated in: § Discussion · plain
- Findingown data
Attendance outcomes showed moderate heterogeneity (τ2 = .002, I2 = 66.67%).
“The homogeneity analysis indicated a moderate degree of heterogeneity (τ2 = .002, I2 = 66.67 %).”
Quote in the paperSubstantial claim
- Findingown data
A single study reported blinding participants or staff and outcome assessors.
“In terms of performance and selection bias, only one study reported the use of blinding of participants or personnel and outcome assessment.”
Quote in the paperNot a substantial claim - Findingown data
Externalizing behavior outcomes showed high heterogeneity (τ2 = .03, I2 = 79.74%).
“The homogeneity analysis indicated a high degree of heterogeneity (τ2 = .03, I2 = 79.74 %).”
Quote in the paperSubstantial claim - Findingreasoning
The current review included different studies than Durlak et al. 2010 because of slightly different inclusion criteria and a more recent search.
“Finally, the current review included different studies than the Durlak review based on slightly different inclusion criteria and more recent search for studies.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Durlak et al. 2010 source
Not checked in the free run.
- Findingown data
Moderator analyses using all seven variables did not reveal significant differences (p > .05).
“Results of the moderator analyses did not reveal significant differences (p > .05; see Table 5).”
Quote in the paperNot a substantial claim - Findingown data
The meta-analysis of externalizing behavior outcomes found a small, non-significant effect (g = 0.11, 95% CI −0.05, 0.28).
“The results of the meta-analysis indicated a small, non-significant effect (g = 0.11, 95 % CI −0.05, 0.28).”
- Also stated in: § Discussion · plain
“Overall, the after-school programs included in this review were found to have small and non-significant effects on externalizing behavior and school attendance outcomes.”
Quote in the paperSubstantial claim- Rests on an assumption: School attendance and externalizing behavior are distinct latent constructs that require separate meta-analyses.
- Also stated in: § Discussion · plain
- Findingown data
The included studies generally carried a high risk of bias.
“Overall, there was a high risk of bias across the included studies (see Fig. 2).”
Quote in the paperSubstantial claim - Findingown data
All included studies had methodological flaws that threaten their internal validity.
“All of the included studies had a number of methodological flaws that threaten the internal validity of the studies.”
Quote in the paperSubstantial claim - Findingown data
Among included studies that randomized participants, methods of randomization were rarely reported.
“and those that did randomize participants rarely reported the methods by which they performed randomization.”
Quote in the paperSubstantial claim - Findingown data
After-school program studies still underreport participant demographics, including socio-economic status, race, and gender.
“Although (Durlak et al. 2010) review called for the reporting of participant demographic information such as socio-economic status, race, and gender, this information continues to be underreported.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Durlak et al. 2010 source
Not checked in the free run.
- Findingown data
Most included studies received high risk-of-bias ratings for selection, performance, and detection bias.
“The vast majority of the studies were rated high risk for selection bias, performance bias, and detection bias.”
Quote in the paperSubstantial claim - Findingown data
Just one study in the review took place outside the United States.
“Despite our broad search and attempt to find studies in other countries, only one included study was conducted outside the United States”
Quote in the paperSubstantial claim - Findingown data
Most externalizing behavior effect sizes measured disruptive behavior or delinquency (n=39, 79.6%), and the rest measured substance use (n=10, 20.4%).
“Most of the effect sizes measured disruptive behavior or delinquency (n = 39, 79.6 %) and the rest measured substance use (n = 10, 20.4 %).”
Quote in the paperNot a substantial claim - Findingown data
Youth at greatest risk may attend after-school programs less often.
“and those most at-risk may be less likely to attend.”
Quote in the paperNot a substantial claim - Findingown data
A moderator test found no reliable difference between substance-use and other externalizing behavior effects (t = 0.84, p = 0.47).
“because moderator analysis indicated no significant differences in effects of interventions between substance use and other externalizing behavior outcomes (t = 0.84, p = 0.47).”
Quote in the paperSubstantial claim - Findingown data
Relatively few included studies employed randomization.
“Relatively few studies employed randomization”
Quote in the paperSubstantial claim - Findingown data
In many included studies, information on specific program practices was not reported reliably enough to code.
“many of the studies included in this review did not report this information to code with any degree of reliability.”
Quote in the paperSubstantial claim - Findingown data
Fewer than half of the included studies reported socio-economic status using free or reduced lunch eligibility.
“In particular, socio-economic status, as measured by eligibility for free or reduced lunch, was reported in less than half of our included studies.”
Quote in the paperSubstantial claim - Findingreasoning
The literature on what moderates or mediates after-school program effects is limited and underdeveloped.
“Overall, evidence related to moderators and mediators of after-school program impacts is sparse and poorly developed.”
Quote in the paperSubstantial claim - Findingnone given
Selection bias poses a problem in after-school program intervention studies.
“Also, because selection bias is problematic in after-school program intervention research”
Quote in the paperSubstantial claim - Findingown data
Attendance at after-school programs in the included studies was poor or sporadic.
“Evidence from our included studies suggested that attendance at after-school programs is poor or sporadic”
Quote in the paperSubstantial claim - Findingnone given
Only a small number of rigorous studies have tested after-school programs' effects on behavior and attendance.
“Despite the popularity of after-school programs and the substantial resources being funneled into after-school programs across the United States, surprisingly few rigorous evaluations have been conducted to examine effects of after-school programs on behavior and school attendance outcomes.”
Quote in the paperSubstantial claim- Rests on an assumption: After-school programs are popular and receive substantial resources in the United States.
- Findingown data
Since 2007, more after-school program studies have used randomization.
“However, since 2007, when prior reviews concluded their search (Durlak et al. 2010; Roth et al. 2010), more after-school program studies have used randomization.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premiseown data
The evidence on the effects of after-school programs remains equivocal and unclear.
“the evidence of effects of after-school programs remains equivocal”
- Also stated in: § Introduction · plain
“the extent to which after-school programs positively and significantly affect the wide variety of outcomes they aim to improve remains unclear”
Quote in the paperSubstantial claim - Also stated in: § Introduction · plain
- Premisecitation
In California after-school centers, a higher proportion met attendance and behavior goals than met academic goals.
“although California centers were more likely to have improved academic performance than attendance or behavior as a program goal, centers were more likely to meet school attendance and behavioral outcomes”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Huang et al. 2011
Not checked in the free run.
- Premisecitation
At-risk students may benefit more from after-school programs than other students.
“at-risk students may have more to gain from attending”
- Also stated in: § Introduction · plain
“students with low academic achievement prior to after-school participation made greater academic improvements than high-achieving students who also participated in after-school programming”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lauer et al. 2006 source
Not checked in the free run.
- Also stated in: § Introduction · plain
- Premisenone given
Most prior reviews were limited to narrative or vote-counting methods.
“Most prior reviews have also been limited to a narrative approach or have used a vote-counting method to synthesize included studies.”
Quote in the paperSubstantial claim - Premisecitation
Unpublished and published research are of similar quality.
“Although unpublished studies, such as dissertations, have not gone through the formal peer-review process, unpublished and published research have been found to be of similar quality (McLeod and Weisz 2004; Hopewell et al. 2007; Moyer et al. 2010).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Dissertations' non-significant results appeared in later published versions 30% less often.
“As found by (Pigott 2012) in a comparison of dissertations to their later published versions, non-significant outcomes were 30 % less likely to be in the published versions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Pigott 2012 source
Not checked in the free run.
- Premisecitation
Including unpublished studies in a systematic review reduces risk of publication bias.
“The inclusion of unpublished literature, in particular, is important to limit the risk of publication bias”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Pigott et al. 2013 source
Not checked in the free run.
- cites Campbell Collaboration (2014)
Not checked in the free run.
- Interpretationreasoning
The review's inclusion of substance-use measures within externalizing behavior helped explain its divergence from Durlak et al. 2010.
“We included substance use measures in the construct of externalizing behaviors whereas (Durlak et al. 2010) separated substance use, for which they found no significant effect, from other externalizing behaviors.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Durlak et al. 2010 source
Not checked in the free run.
- Premisecitation
Underestimating variance is particularly problematic for questions about mean effect magnitude, moderators, and heterogeneity.
“Underestimating the variance is particularly problematic for answering questions related to magnitude of the mean effect, moderators of effects, and heterogeneity of studies (Pigott 1994).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Pigott 1994
Not checked in the free run.
- Premisenone given
Only one prior review (Zief et al. 2006) systematically assessed study quality or risk of bias.
“Only one prior review (Zief et al. 2006) systematically assessed study quality or risk of bias of the included studies.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Zief et al. 2006
Not checked in the free run.
- Premisecitation
James-Burdumy et al. (2005) found that participants would have been supervised if they had not attended the after-school program.
“Instead, their findings suggested that participants would have been supervised had they not attended the after-school program (James-Burdumy et al. 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites James-Burdumy et al. 2005
Not checked in the free run.
- Interpretationcitation
The attendance evidence aligns with earlier quantitative and narrative reviews.
“For school attendance, the evidence from this review converges with prior quantitative and narrative reviews.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Zief et al. 2006
Not checked in the free run.
- cites Durlak et al. 2010 source
Not checked in the free run.
- Interpretationreasoning
Many after-school programs aim at many outcomes but lack deliberate, evidence- or theory-based elements and mechanisms.
“After-school programs are expected to affect numerous outcomes, but attempt to do so without being intentional in the program elements and mechanisms they implement by using empirical evidence or theories of change in program design to affect those outcomes.”
Quote in the paperSubstantial claim - Study design and conductreasoning
This review did not cover every outcome that after-school programs have been proposed to affect.
“Additionally, the review did not examine all outcomes for which after-school programs have been suggested to impact”
Quote in the paperNot a substantial claim - Study design and conductreasoning
Power may have been insufficient, especially for attendance, making effects harder to detect.
“Statistical power, particularly for the attendance outcome, could be low thereby inhibiting the ability to detect effects.”
Quote in the paperNot a substantial claim- Rests on an assumption: Methods for power analysis with robust variance estimation remain under development.
- Interpretationreasoning
The results cannot be generalized to draw conclusions about effects of after-school programs beyond the outcomes examined in this study.
“thus, the results cannot be generalized to draw conclusions about the effect of after-school programs beyond the outcomes examined in this study.”
Quote in the paperSubstantial claim - Interpretationreasoning
Because intervention processes and implementation receive little attention, examining which program features affect outcomes is hindered.
“This lack of attention to intervention processes and implementation impedes our ability to examine program characteristics that may impact the effectiveness of after-school programs.”
Quote in the paperSubstantial claim - Interpretationown data
Findings from this review do not extend to after-school programs outside the United States.
“thus, the results of this review cannot be generalized to programs outside the United States.”
Quote in the paperSubstantial claim - Study design and conductown data
Due to insufficient reporting of moderator variables in many included studies, it was not possible to extract data for potential moderator variables of interest.
“Moreover, due to insufficient reporting of moderator variables in many of the studies included in this review, it was not possible to extract the data for potential moderator variables that may have been of interest.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
The number and types of moderators that could be examined in this study were limited by lack of statistical power.
“We were also limited in the number and types of moderators that we could examine in this study due to the lack of statistical power.”
Quote in the paperNot a substantial claim - Premisecitation
After-school program studies have poor utilization of treatment manuals.
“Research has found after-school program studies lack well-defined theories of change and intervention procedures, have poor utilization of treatment manuals, provide limited training and supervision for implementers, and infrequently measure fidelity (Maynard et al. 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Maynard et al. 2013 source
Not checked in the free run.
- Premisecitation
After-school program research often lacks clear theories of change and defined intervention procedures.
“Research has found after-school program studies lack well-defined theories of change and intervention procedures, have poor utilization of treatment manuals, provide limited training and supervision for implementers, and infrequently measure fidelity (Maynard et al. 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Maynard et al. 2013 source
Not checked in the free run.
- Premisecitation
After-school program studies provide limited training and supervision for implementers.
“Research has found after-school program studies lack well-defined theories of change and intervention procedures, have poor utilization of treatment manuals, provide limited training and supervision for implementers, and infrequently measure fidelity (Maynard et al. 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Maynard et al. 2013 source
Not checked in the free run.
- Premisecitation
James-Burdumy et al. (2005) did not find that after-school programs increased supervision for youth.
“Furthermore, (James-Burdumy et al. 2005) did not find after-school programs to increase supervision for youth.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites James-Burdumy et al. 2005
Not checked in the free run.
- Premisecitation
After-school program studies infrequently measure fidelity.
“Research has found after-school program studies lack well-defined theories of change and intervention procedures, have poor utilization of treatment manuals, provide limited training and supervision for implementers, and infrequently measure fidelity (Maynard et al. 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Maynard et al. 2013 source
Not checked in the free run.
- Study design and conductcitation
After-school program intervention research may suffer from outcome reporting bias.
“We also suspect that outcome reporting bias may be an issue in after-school program intervention research as it has been found to be problematic in education research (Pigott et al. 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Pigott et al. 2013 source
Not checked in the free run.
- Interpretationown data
The quality and rigor of the included studies constrain what this review can conclude about after-school program effects.
“In all, results from this review and the conclusions that can be drawn about the effects of after-school programs are limited by the quality and rigor of the included studies.”
- Also stated in: § Recommendations and Directions for Future Research · plain
“Our included studies displayed a high risk of bias within and across studies, impairing the extent to which we can draw conclusions about the effects of after-school programs on attendance and externalizing behaviors.”
Quote in the paperSubstantial claim - Also stated in: § Recommendations and Directions for Future Research · plain
- May combine two claims. 42
- Classified as probably not a substantial claim. 38
May combine two claims.
Findingown dataThe mean effect of after-school programs on attendance and externalizing behaviors is small and not statistically significant.
“Mean effects were small and non-significant for attendance and externalizing behaviors.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere is moderate to large heterogeneity among effect sizes, and no tested moderator variable explains the variance between studies.
“A moderate to large amount of heterogeneity was present; however, no moderator variable tested explained the variance between studies.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataNearly half (45.8%) of the 24 included studies were from grey literature.
“Of the 24 studies included in this meta-analysis, nearly half (45.8 %) were found in the grey literature.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSeven included studies were randomized controlled designs, while 70.8% were quasi-experimental.
“Seven of the studies were randomized controlled designs, while the majority (70.8 %) were quasi-experimental designs.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMost studies (63%) were low risk for reporting bias, three high risk, and six unclear.
“We assessed most studies (63 %) as low risk for reporting bias as the authors appeared to have reported the expected outcomes, three studies as high risk as there appeared to be selective or incomplete reporting of expected outcomes, and six studies as unclear risk of reporting bias.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe comparison condition for 70.8% of studies was no treatment or waitlist.
“The comparison condition for the majority (70.8 %) of the studies was no treatment or waitlist.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe review included 24 studies that appeared in 31 reports.
“Twenty-four studies reported in 31 reports were included in the review.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOnly seven (29%) included studies used randomization, with only three describing randomization procedure and only three providing allocation concealment information.
“Only seven (29 %) of the included studies used randomization to assign students to the after-school program or control condition, with only three of these seven studies providing a clear description of their randomization procedure and only three providing information related to allocation concealment.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Findingown dataSixteen studies with 16 effect sizes were analyzed for attendance outcomes.
“Of the included studies, 16 studies with 16 effect sizes were included in the analysis of attendance outcomes”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataAlmost every included study (95.8%) took place in the United States; one took place in Ireland.
“Despite efforts to search for studies conducted in a broad geographical area, nearly all of the included studies (95.8 %) were conducted in the United States, with one study conducted in Ireland.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe majority of externalizing behavior outcomes were self-reported (65%).
“The majority of externalizing behaviors included in this review were self-reported (65 %).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFew included studies specified increasing school attendance as a primary goal or described a theory of change linking program mechanisms to attendance.
“Although 16 studies in the current review measured school attendance, few specified increasing school attendance as a primary goal of the after-school program or explicated a theory of change connecting the mechanisms of the after-school program to school attendance.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSelection bias was rated high risk in 17 (71%) studies, uncertain in four, and low risk in two.
“Selection bias was rated as high risk in 17 (71 %) of the included studies, uncertain in four of the included studies, and low risk in two of the included studies.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAttrition bias was high risk in nine (38%) studies, low risk in three, and unclear in ten.
“Attrition bias was assessed as high risk in nine (38 %) of the included studies.”
- Also stated in: § Characteristics of Included Studies and Programs · plain
“Three studies were assessed as low risk of attrition bias as they reported either low or no overall or differential attrition or used missing data strategies to perform the analysis with data from all participants assigned to condition.”
- Also stated in: § Characteristics of Included Studies and Programs · plain
“The remaining 10 studies were assessed as unclear risk as the studies did not clearly indicate the procedures used for the management of attrition or the attrition rates could not be reliably calculated.”
Quote in the paperNot a substantial claim- Also stated in: § Characteristics of Included Studies and Programs · plain
May combine two claims.
FindingreasoningIn this review, variation among programs and weak reporting on program elements and staffing prevented clear separation of effects by program or participant features.
“the heterogeneity of programs included in this review and the relatively poor reporting related to specific elements and staffing of the included after-school programs made it difficult to parse out differential effects across programs related to program or participant characteristics.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenWeak rigor and compromised internal validity in most included studies restricted causal inference and the review's conclusions.
“Most of the studies lacked rigor and internal validity of the studies was compromised, thus limiting the causal inferences that could be drawn from the studies and the conclusions that can be made from this review.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong included studies, 44% of those appearing after 2007 assigned students randomly, versus 20% of those appearing in or before 2007.
“Indeed, 44 % of the included studies in this review published after 2007 used randomization procedures to assign students to condition, while only 20 % of studies published before or during 2007 assigned students randomly.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAcross included studies, most assessed domains showed high risk of bias and methodological weaknesses, matching earlier reviews.
“Moreover, methodological flaws and high risk of bias on most of the domains assessed in this review were found across included studies, which is consistent with findings from past reviews of after-school programs.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA comprehensive search resulted in 24 after-school program intervention studies, 14 of which had not been in prior reviews.
“A comprehensive search for published and unpublished literature resulted in the inclusion of 24 after-school program intervention studies, 14 of which have not been included in prior reviews.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor at-risk primary and secondary students, the review found no clear evidence that after-school programs affect attendance or externalizing behaviors.
“this review found a lack of evidence of effects of after-school programs on school attendance and externalizing behaviors for at-risk primary and secondary students.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe rapid growth of after-school programming was not based on strong empirical findings.
“the rapid growth of after-school programming resulted from lobbying and grass roots efforts and was not based on strong empirical findings”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Apsler 2009 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningAfter-school programs have the potential to curb juvenile crime and improve youth developmental outcomes.
“after-school programs have the potential to curb juvenile crime and positively impact youth developmental outcomes both short and long-term”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningBecause 65% of Durlak et al.'s included studies were quasi-experiments, lack of baseline adjustment could over- or under-estimate effects.
“This is problematic because, although all included studies in Durlak et al.’s review used a comparison group, 65 % of the included studies were quasi-experiments and thus potentially suffered from selection bias. Without adjusting for baseline differences, the effects could be over- or under-estimated.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Durlak et al. 2010 source
Not checked in the free run.
May combine two claims.
PremisecitationPublication bias can result from journals not publishing non-significant primary outcomes or authors not submitting such studies.
“Publication bias may be the result of journals choosing not to publish papers with non-significant primary outcomes (Hopewell et al. 2009) or study authors choosing not to submit the study for publication (Cooper et al. 1997).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Hopewell et al. 2009
Not checked in the free run.
- cites Cooper et al. 1997 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationKane (2004) found that three of four studies showed no significant effect on attendance, with mixed effects on grades and limited impact on child self-care.
“In (Kane 2004) review of the results of four after-school program evaluations, three of the four studies found no statistically significant effect on attendance, mixed effects on grades within and across studies, some evidence of improvement in homework completion, positive effects on parental engagement in school, and limited impact on child self-care.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kane 2004
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationLauer et al. (2006) found small but significant impact on reading and math achievement, with one-on-one tutoring having larger effect sizes.
“The review found small but significant impact on both reading and math achievement across studies, with those using one-on-one tutoring to have larger effect sizes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lauer et al. 2006 source
Not checked in the free run.
May combine two claims.
Interpretationown dataOn average, students in after-school programs did not show improved behavior or school attendance compared to comparison peers.
“On average, students participating in after-school programs did not demonstrate improved behavior or school attendance compared to their comparison group peers.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRoth et al. (2010) found little support that increased participation improved academic and behavior outcomes, but found participation levels decrease with age and more frequent attendees have improved attendance.
“The review found little support that increased participation resulted in improved academic and behavior outcomes, but it did find after-school participation levels to decrease with age and more frequent attendees to have improved school attendance outcomes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Roth et al. 2010 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationDurlak et al. (2010) found an overall positive and statistically significant effect of after-school programs across all outcomes examined.
“In a meta-analysis of after-school programs (Durlak et al. 2010) found an overall positive and statistically significant effect of after-school programs across all outcomes examined (d = 0.22, CI 0.16, 0.29).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Durlak et al. 2010 source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductcitationThe analysis adjusted for baseline differences by subtracting the baseline effect size from the post-test effect size.
“To control for pre-test difference between the intervention and control conditions, we subtracted the pre-test effect size from the post-test effect size (Lipsey and Wilson 2001).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lipsey and Wilson 2001
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataRisk of bias was assessed by two review authors independently using the Cochrane Collaboration's tool.
“To examine the risk of bias of included studies, two review authors independently rated each included study using the Cochrane Collaboration’s tool for assessing risk of bias.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Higgins et al. 2011 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationI2 quantifies heterogeneity beyond sample differences.
“(Higgins and Thompson 2002) suggested the calculation of I2, which quantifies the amount of heterogeneity beyond sample differences.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Higgins and Thompson 2002 source
Not checked in the free run.
May combine two claims.
PremisecitationPositive-result studies reach publication more often and sooner than negative-result studies.
“Additionally, a review by (Hopewell et al. 2009) found studies with positive results to be published more frequently and more quickly than studies with negative results.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hopewell et al. 2009
Not checked in the free run.
May combine two claims.
InterpretationreasoningDurlak et al. 2010 assigned an effect size of zero for non-significant outcomes lacking sufficient data, a procedure that can bias results.
“Also, Durlak and colleagues estimated an effect size of zero for all outcomes when the primary study authors reported the result as non-significant and did not report enough data to calculate a true effect size.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Durlak et al. 2010 source
Not checked in the free run.
- cites Lipsey and Wilson 2001
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe review followed Campbell Collaboration standards for systematic reviews.
“We followed the Campbell Collaboration standards for the conduct of systematic reviews of interventions (Campbell Collaboration, 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Campbell Collaboration, 2014
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataMeta-analysis was used to synthesize effects quantitatively, and moderator analysis was conducted.
“Meta-analysis was used to synthesize the effects of interventions quantitatively, and moderator analysis was conducted to examine potential moderating variables.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationDurlak et al. 2010 sometimes failed to adjust for baseline differences and did not require baseline control or demonstrated equivalence.
“Durlak and colleagues, furthermore, did not adjust for pre-test differences in all cases and did not require that studies control for pre-test differences or demonstrate pre-test equivalence.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Durlak et al. 2010 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataCoders initially agreed on the Risk of Bias tool 81% of the time, and disagreements were settled by consensus.
“Initial agreement between coders on the Risk of Bias tool was 81 %. Coders reviewed the coding agreement, and discrepancies were discussed and resolved by consensus.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationMany prior reviews lacked transparency in inclusion criteria, systematic searching, and data extraction methods.
“Many prior reviews were not transparent in their inclusion criteria (Fashola 1998; Hollister 2003; Simpkins et al. 2004; Apsler 2009) and lacked systematic searching (Fashola 1998; Scott-Little et al. 2002; Hollister 2003; Simpkins et al. 2004; Apsler 2009) and data extraction methods (Fashola 1998; Hollister 2003; Simpkins et al. 2004; Apsler 2009; Roth et al. 2010).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Fashola 1998
Not checked in the free run.
- cites Hollister 2003
Not checked in the free run.
- cites Apsler 2009 source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenThe review used systematic review methodology for all aspects of search, selection, and coding.
“Systematic review methodology was used for all aspects of the search, selection, and coding of studies.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationZief et al. (2006) found limited program impact on academic and behavioral outcomes and a small positive impact on self-care.
“The review found limited program impact on academic and behavioral outcomes and a small positive impact on instance of self-care.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Zief et al. 2006
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDurlak et al. (2010) found support for moderation on four outcomes for programs using SAFE practices.
“They also examined several moderator variables and found support for moderation on four outcomes for programs that used specific practices (i.e., SAFE: sequenced, active, focused, and explicit) compared to those that did not use those practices.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Durlak et al. 2010 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDurlak et al. (2010) found no significant effects on drug use and school attendance.
“but no significant effects on drug use and school attendance”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Durlak et al. 2010 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationImputing zero for non-significant results artificially decreases variability and is not recommended.
“Imputing zero for studies that report non-significant results is not recommended as it artificially decreases the variability of the variables.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lipsey and Wilson 2001
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisereasoningPrior reviews of after-school programs have yielded mixed and inconclusive findings, but most concur that more rigorous evaluations are needed.
“Overall, prior reviews of after-school programs have yielded mixed and inconclusive findings of effects on various outcomes, but most have concurred that more rigorous evaluations of after-school programs are needed.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe coding instrument was pilot tested by two authors and adjusted.
“The data extraction instrument, available from the authors, was pilot tested by two authors and adjustments to the coding form were made.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe review's results conflict with Durlak et al. 2010's positive problem-behavior finding, but agree with their null drug-use and attendance findings and with Zief et al. 2006's null behavior and attendance findings.
“These results contradict (Durlak et al. 2010) findings of significant effects on problem behaviors [ES 0.19, CI (0.10, 0.27)], but corroborate Durlak and colleagues’ findings of non-significant effects on drug use and school attendance, and (Zief et al. 2006) findings of no effects on behavior and school attendance.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Durlak et al. 2010 source
Not checked in the free run.
- cites Zief et al. 2006
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataDescriptive data were coded by one author, with 20% of studies coded by a second, and agreement was 92.3%.
“Descriptive data related to study, sample, and intervention characteristics were coded by one author, with 20 % of the studies coded by a second author. Inter-rater agreement on descriptive items was 92.3 %.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFashola (1998) cited the need for more rigorous study designs to increase confidence in after-school program effectiveness.
“(Fashola 1998) review across 34 studies inspected the effectiveness of programs and ease of replicability, again citing the need for more rigorous study designs to increase confidence in after-school program effectiveness.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fashola 1998
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationApsler (2009) found serious methodological flaws in after-school program research.
“(Apsler 2009) literature review of after-school programs examined the quality of after-school program research; the review found serious methodological flaws, such as inappropriate comparison groups, sporadic participant attendance, and high attrition, which limited conclusions that could be drawn from the included studies.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Apsler 2009 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationRobust variance estimation allows all estimated effect sizes from a study to be included and synthesized simultaneously, unlike traditional meta-analysis.
“Unlike traditional meta-analysis, robust variance estimation allows for the inclusion and synthesis of all estimated effect sizes simultaneously (Hedges et al. 2010; Tanner-Smith and Tipton 2013).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Hedges et al. 2010 source
Not checked in the free run.
- cites Tanner-Smith and Tipton 2013
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHollister (2003) found that among ten studies with more rigorous methodologies, some programs were effective.
“(Hollister 2003) review of after-school programs examined their impact on academic and risky behavior. Among the ten studies with more rigorous methodologies, some programs were found to be effective.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hollister 2003
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationScott-Little et al. (2002) concluded that after-school programs appear to have positive impacts, but included studies lacked designs for causal inference.
“Scott-Little and colleagues (Scott-Little et al. 2002) concluded in their review of 23 studies that after-school programs appear to have positive impacts on participants, but the included studies lacked the type of research designs and information to allow for making causal inferences.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scott-Little et al. 2002 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe potential for after-school programs to positively affect externalizing behavior through increased supervision is more complicated than expected.
“(Cross et al. 2009) noted, however, that the potential for after-school programs to impact externalizing behavior positively through increased supervision is more complicated than one might expect.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cross et al. 2009 source
Not checked in the free run.
May combine two claims.
Premiseown dataEarlier reviews of after-school programs repeatedly called for greater rigor, yet progress has been limited.
“Although past after-school program reviews have consistently suggested improvements in the rigor of after-school program research, limited progress has been made.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome studies have found no support for moderating variables.
“while others have found no support for moderating variables (Roth et al. 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Roth et al. 2010 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningIt is possible that researchers measured attendance or externalizing outcomes but withheld nonsignificant results, which could inflate the effects in this meta-analysis.
“researchers could have measured these outcomes but chose not to report them if they were not significant, thus potentially inflating the effects of after-school programs reported in this meta-analysis.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAny of the procedures used by Durlak et al. 2010 could have biased effect size estimates and explain the difference between the two reviews.
“Any of these procedures could have resulted in a bias of the effect size estimates and could explain the difference in the meta-analytic results between the two reviews.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Durlak et al. 2010 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningExcluding studies without pre-test data or baseline adjustment may have created selection bias at the review level.
“Although unlikely, we could have introduced review level selection bias by excluding studies that did not provide pre-test data or adjust for baseline differences.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEarlier reviews and primary studies indicate that features of programs and participants could moderate the effects of after-school programs.
“Prior reviews and primary research suggest that program and participant characteristics may moderate effects of after-school programs, such as program quality and characteristics (Simpkins et al. 2004; Lauer et al. 2006; Durlak et al. 2010)”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
Study design and conductreasoningThe review required included studies to supply pre-test outcome data or adjust for baseline scores, partly to address selection bias.
“we limited studies included in this review to those that provided pre-test data of the outcomes of interest or adjusted for pre-test on the outcome, so we could control for selection bias to some extent.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCertain reviews and primary studies point to possible moderators for after-school programs and other organized youth activities, including study quality and program features.
“Some reviews and individual studies have identified potential moderators of after-school programs and other types of organized youth activities, such as study quality and characteristics of the program (i.e., length, intensity, presence of specific components; Bohnert et al. 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bohnert et al. 2010 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationAfter-school programs can reduce delinquency by providing adult supervision and structured activities.
“By providing adult supervision and structured activities, after-school programs have the potential to reduce delinquency (Cross et al. 2009, p. 394).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cross et al. 2009 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe review limited the quantity of moderator tests to decrease the probability of spurious results.
“Given sufficient heterogeneity, we conducted moderator analyses; we limited the quantity of such tests to decrease the probability of spurious results (Polanin and Pigott 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Polanin and Pigott 2014
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataFinal inclusion decisions were made by two authors, with discrepancies resolved by consensus and a third author when needed.
“Following initial screening, potentially eligible studies were further reviewed by two authors to determine final inclusion. Any discrepancies between authors were discussed and resolved through consensus, and when needed, a third author reviewed the study.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
After-school programs are popular and receive substantial resources in the United States.
“Despite the popularity of after-school programs and the substantial resources being funneled into after-school programs across the United States, surprisingly few rigorous evaluations have been conducted to examine effects of after-school programs on behavior and school attendance outcomes.”
The paper relies on this without support.
School attendance and externalizing behavior are distinct latent constructs that require separate meta-analyses.
“Of note, we chose to conduct separate meta-analyses for the attendance and behavioral outcomes, given their divergent latent nature.”
The paper relies on this without support.
Random assignment is considered the strongest method for reducing threats to internal validity.
“Randomization is the best approach to mitigating threats to internal validity”
The paper relies on this without support.
It is not always feasible to assign participants randomly to conditions.
“however, randomly assigning participants to condition is not always possible.”
The paper relies on this without support.
Methods for power analysis with robust variance estimation remain under development.
“Power analyses for robust variance estimation analyses are still being developed”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
We double coded each indicator and merged codes into a composite index score for analyses.
“We double coded each indicator and merged codes into a composite index score for analyses (Kremer et al., 2015;Lester et al., 2020).”
From The state of evidence for social and emotional learning: A contemporary meta-analysis of universal school-based SEL interventions (2023) · cites this paper as Kremer et al., 2015
The Study Selection and Data Extraction section reports that two authors independently coded moderator and effect-size data, but descriptive data were mostly coded by one author. The Assessing Risk of Bias section says ratings were made separately for each domain, and Statistical Procedures describes analyzing effect sizes without averaging them into a composite index. The source supports double coding of some data, not double coding every indicator or merging codes into a composite index score. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Externalizing-behavior mean uses a different study count
MinorForty-nine effect sizes across 16 studies would average 3.06 per study, not 2.58. The stated mean instead matches the 19 externalizing-behavior studies reported elsewhere in the paper.
Reported 2.58 · recomputed 3.0625
“Sixteen studies, including 49 effect sizes, were synthesized to capture effects of interventions on externalizing behavior (mean n of effect sizes = 2.58, Min = 1, Max = 10).”
Attrition-bias categories omit two studies
MinorThe nine high-risk, three low-risk, and 10 unclear-risk studies total 22 rather than the 24 included studies.
Reported 24 · recomputed 22
“The remaining 10 studies were assessed as unclear risk as the studies did not clearly indicate the procedures used for the management of attrition or the attrition rates could not be reliably calculated.”
Effect-size subtotal exceeds the reported total
MinorThe attendance and externalizing-behavior counts add to 65 effect sizes, not 64.
Reported 64 · recomputed 65
“A total of 64 effect sizes (16 for attendance outcomes; 49 for externalizing behavior outcomes) extracted from 31 reports were included in the meta-analysis using robust variance estimation to handle dependencies among effect sizes.”
Selection-bias categories omit one study
MinorThe stated high-, uncertain-, and low-risk counts total 23, although the review includes 24 studies.
Reported 24 · recomputed 23
“Selection bias was rated as high risk in 17 (71 %) of the included studies, uncertain in four of the included studies, and low risk in two of the included studies.”
Cites
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763 · see citing works
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials
Higgins, J. P. T., Altman, D. G., Gotzsche, P. C., Juni, P., Moher, D., Oxman, A. D., Savovic, J., Schulz, K. F., Weeks, L., Sterne, J. A. C., et al. (2011) · BMJ · doi:10.1136/bmj.d5928 · Cited by 33,817 · see citing works
Dermyshi, E., Wang, Y., Yan, C., Hong, W., Qiu, G., Gong, X., & Zhang, T. (2017) · Neonatology · doi:10.1159/000454668 · Cited by 24,577 · see citing works
Pharmacological interventions for somatoform disorders in adults
Kleinstäuber, M., Witthöft, M., Steffanowski, A., van Marwijk, H., Hiller, W., & Lambert, M. J. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd010628.pub2 · Cited by 11,361 · see citing works
(2000) · Cited by 9,198 · see citing works
Meta-analysis in social research
(1982) · Evaluation and Program Planning · doi:10.1016/0149-7189(82)90011-8 · Cited by 3,896 · see citing works
The Handbook of Research Synthesis.
Howel, D., Cooper, H., & Hedges, L. V. (1995) · Biometrics · doi:10.2307/2533295 · Cited by 3,657 · see citing works
Robust variance estimation in meta‐regression with dependent effect size estimates
Hedges, L. V., Tipton, E., & Johnson, M. C. (2010) · Research Synthesis Methods · doi:10.1002/jrsm.5 · Cited by 2,086 · see citing works
American Journal of Community Psychology
(2016) · American Journal of Community Psychology · doi:10.1002/(issn)1573-2770 · Cited by 1,453 · see citing works
Systematic Reviews and Meta-Analysis
Littell, J. H., Corcoran, J., & Pillai, V. (2008) · doi:10.1093/acprof:oso/9780195326543.001.0001 · Cited by 1,293 · see citing works
Durlak, J. A., Weissberg, R. P., & Pachan, M. (2010) · American Journal of Community Psychology · doi:10.1007/s10464-010-9300-6 · Cited by 1,216 · see citing works
The Handbook of Research Synthesis
Ziegel, E. R., Cooper, H., & Hedges, L. V. (1995) · Technometrics · doi:10.2307/1269651 · Cited by 936 · see citing works
Publication bias in clinical trials due to statistical significance or direction of trial results
Hopewell, S., Loudon, K., Clarke, M. J., Oxman, A. D., & Dickersin, K. (2009) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.mr000006.pub3 · Cited by 898 · see citing works
How Effective Are Mentoring Programs for Youth? A Systematic Assessment of the Evidence
DuBois, D. L., Portillo, N., Rhodes, J. E., Silverthorn, N., & Valentine, J. C. (2011) · Psychological Science in the Public Interest · doi:10.1177/1529100611414806 · Cited by 889 · cited 1× · see citing works
“Interventions that were solely mentoring or tutoring were also excluded from this review as those types of programs, while often occurring after school, are not generally classified as an after-school program and have been synthesized as separate types of interventions (Ritter et al. 2009; DuBois et al. 2011; Tolan et…”
BackgroundGrey literature in meta-analyses of randomized trials of health care interventions
Hopewell, S., McDonald, S., Clarke, M. J., & Egger, M. (2007) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.mr000010.pub3 · Cited by 598 · cited 1× · see citing works
“Although unpublished studies, such as dissertations, have not gone through the formal peer-review process, unpublished and published research have been found to be of similar quality (McLeod and Weisz 2004; Hopewell et al. 2007; Moyer et al. 2010).”
BackgroundTanner-Smith, E. E., & Tipton, E. (2014) · Research Synthesis Methods · doi:10.1002/jrsm.1091 · Cited by 588 · see citing works
Out-of-School-Time Programs: A Meta-Analysis of Effects for At-Risk Students
Lauer, P. A., Akiba, M., Wilkerson, S. B., Apthorp, H. S., Snow, D., & Martin-Glenn, M. L. (2006) · Review of Educational Research · doi:10.3102/00346543076002275 · Cited by 579 · see citing works
Single data extraction generated more errors than double data extraction in systematic reviews
Buscemi, N., Hartling, L., Vandermeer, B., Tjosvold, L., & Klassen, T. P. (2006) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2005.11.010 · Cited by 464 · cited 1× · see citing works
“Therefore, it is highly recommended that at least two reviewers extract data from studies to reduce errors in the process (Buscemi et al. 2006; Campbell Collaboration, 2014).”
BackgroundPigott, T. D. (2012) · doi:10.1007/978-1-4614-2278-5 · Cited by 453 · see citing works
A possible selves intervention to enhance school involvement
Oyserman, D., Terry, K., & Bybee, D. I. (2002) · Journal of Adolescence · doi:10.1006/jado.2002.0474 · Cited by 423 · see citing works
Beyond the holy grail of motor symptoms: deep brain stimulation for Parkinson's disease
Samuel, M. (2005) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2004.061911 · Cited by 357 · see citing works
Social and behavioral factors associated with high-risk sexual behavior among adolescents
Biglan, A., Metzler, C. W., Wirt, R., Ary, D. V., Noell, J. W., Ochs, L., French, C., & Hood, D. (1990) · Journal of Behavioral Medicine · doi:10.1007/bf00846833 · Cited by 356 · see citing works
Bohnert, A., Fredricks, J., & Randall, E. (2010) · Review of Educational Research · doi:10.3102/0034654310364533 · Cited by 302 · see citing works
Data Extraction Errors in Meta-analyses That Use Standardized Mean Differences
Gøtzsche, P. C., Hróbjartsson, A., Marić, K., & Tendal, B. (2007) · JAMA · doi:10.1001/jama.298.4.430 · Cited by 238 · see citing works
Halpern, R. (2002) · Teachers College Record The Voice of Scholarship in Education · doi:10.1111/1467-9620.00160 · Cited by 201 · see citing works
Shernoff, D. J., & Vandell, D. L. (2007) · Journal of Youth and Adolescence · doi:10.1007/s10964-007-9183-5 · Cited by 199 · see citing works
Bradshaw, C. P., Waasdorp, T. E., Goldweber, A., & Johnson, S. L. (2012) · Journal of Youth and Adolescence · doi:10.1007/s10964-012-9863-7 · Cited by 189 · see citing works
Do After School Programs Reduce Delinquency?
Gottfredson, D. C., Gerstenblith, S., Soulé, D. A., Womer, S. C., & Lu, S. (2004) · Prevention Science · doi:10.1023/b:prev.0000045359.41696.02 · Cited by 180 · see citing works
Ritter, G. W., Barnett, J. H., Denny, G. S., & Albin, G. R. (2009) · Review of Educational Research · doi:10.3102/0034654308325690 · Cited by 180 · see citing works
James‐Burdumy, S., Dynarski, M., Moore, M. T., Deke, J., Mansfield, W., Pistorino, C., & Warner, E. A. K. (2005) · Mathematica Policy Research Reports · Cited by 168 · see citing works
Scott-Little, C., Hamann, M. S., & Jurs, S. G. (2002) · American Journal of Evaluation · doi:10.1016/s1098-2140(02)00234-5 · Cited by 166 · see citing works
Scott-Little, C., Hamann, M. S., & Jurs, S. G. (2002) · American Journal of Evaluation · doi:10.1177/109821400202300403 · Cited by 166 · see citing works
THE JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION.
(1895) · JAMA · doi:10.1001/jama.1895.02430440043008 · Cited by 152 · see citing works
Tebes, J. K., Feinn, R., Vanderploeg, J. J., Chinman, M., Shepard, J. K., Brabham, T., Genovese, M., & Connell, C. M. (2007) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2007.02.016 · Cited by 150 · see citing works
The impact of after-school programs: Interpreting the results of four recent evaluations
Kane, T. J. (2004) · PsycEXTRA Dataset · doi:10.1037/e680712012-001 · Cited by 146 · see citing works
Finding the missing science: The fate of studies submitted for review by a human subjects committee.
Cooper, H., DeNeve, K., & Charlton, K. (1997) · Psychological Methods · doi:10.1037/1082-989x.2.4.447 · Cited by 144 · see citing works
Who are truant youth? Examining distinctive profiles of truant youth using latent profile analysis
Maynard, B. R., Salas-Wright, C. P., Vaughn, M. G., & Peters, K. E. (2012) · Journal of Youth and Adolescence · doi:10.1007/s10964-012-9788-1 · Cited by 141 · see citing works
Self-citationAfter-School Programs for Low-Income Children: Promise and Challenges
Halpern, R. (1999) · The Future of Children · doi:10.2307/1602708 · Cited by 141 · see citing works
Substance Use Among Eighth-Grade Students Who Take Care of Themselves After School
Richardson, J. L., Dwyer, K. M., McGuigan, K. A., Hansen, W. B., Dent, C. W., Johnson, C. A., Sussman, S. Y., Brannon, B. R., & Flay, B. R. (1989) · PEDIATRICS · doi:10.1542/peds.84.3.556 · Cited by 140 · see citing works
Roth, J. L., Malone, L. M., & Brooks-Gunn, J. (2010) · American Journal of Community Psychology · doi:10.1007/s10464-010-9303-3 · Cited by 131 · see citing works
Outcome-Reporting Bias in Education Research
Pigott, T. D., Valentine, J. C., Polanin, J. R., Williams, R. T., & Canada, D. D. (2013) · Educational Researcher · doi:10.3102/0013189x13507104 · Cited by 127 · see citing works
Self-citationUsing Dissertations to Examine Potential Bias in Child and Adolescent Clinical Trials.
McLeod, B. D., & Weisz, J. R. (2004) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.72.2.235 · Cited by 125 · see citing works
Activities, engagement, and emotion in after‐school programs (and elsewhere)
Vandell, D. L., Shernoff, D. J., Pierce, K. M., Bolt, D. M., Dadisman, K. A., & Brown, B. B. (2005) · New Directions for Youth Development · doi:10.1002/yd.111 · Cited by 118 · see citing works
Impacts of After-School Programs on Student Outcomes
Zief, S. G., Lauver, S. C., & Maynard, R. A. (2006) · Campbell Systematic Reviews · doi:10.4073/csr.2006.3 · Cited by 110 · see citing works
Richards, M. H., Miller, B. V., O’Donnell, P. C., Wasserman, M. S., & Colder, C. R. (2004) · Journal of Youth and Adolescence · doi:10.1023/b:joyo.0000025321.27416.f6 · Cited by 106 · see citing works
Effects of Participation in After-School Programs for Middle School Students: A Randomized Trial
Gottfredson, D. C., Cross, A. B., Wilson, D., Rorie, M. L., & Connell, N. M. (2010) · Journal of Research on Educational Effectiveness · doi:10.1080/19345741003686659 · Cited by 87 · see citing works
Methods for handling missing data in research synthesis.
Pigott, T. (1994) · Cited by 83 · see citing works
Review of Extended-Day and After-School Programs and Their Effectiveness. Report No. 24.
Fashola, O. S. (1998) · Cited by 80 · see citing works
The use of meta-analytic statistical significance testing
Polanin, J. R., & Pigott, T. D. (2015) · Research Synthesis Methods · doi:10.1002/jrsm.1124 · Cited by 78 · see citing works
Self-citationMentoring Interventions to Affect Juvenile Delinquency and Associated Problems: A Systematic Review
Tolan, P., Henry, D., Schoeny, M., Bass, A., Lovegrove, P., & Nichols, E. (2013) · Campbell Systematic Reviews: Better Evidence for a Better World · doi:10.4073/csr.2013.10 · Cited by 77 · see citing works
GOTTFREDSON, D. C., CROSS, A., & SOULÉ, D. A. (2007) · Criminology & Public Policy · doi:10.1111/j.1745-9133.2007.00437.x · Cited by 65 · see citing works
Feasibility and Preliminary Efficacy of an After-School Program for Middle Schoolers With ADHD
Molina, B. S. G., Flory, K., Bukstein, O. G., Greiner, A. R., Baker, J. L., Krug, V., & Evans, S. W. (2008) · Journal of Attention Disorders · doi:10.1177/1087054707311666 · Cited by 64 · see citing works
Enhancing the Educational Achievement of At-Risk Youth
Schinke, S. P., Cole, K., & Poulin, S. R. (2000) · Prevention Science · doi:10.1023/a:1010076000379 · Cited by 62 · see citing works
After-school programs for adolescents: a review of evaluation research.
Apsler, R. (2009) · PubMed · Cited by 60 · see citing works
THE TIMING OF DELINQUENT BEHAVIOR AND ITS IMPLICATIONS FOR AFTER‐SCHOOL PROGRAMS*
Gottfredson, D. C., Gottfredson, G. D., & Weisman, S. A. (2001) · Criminology & Public Policy · doi:10.1111/j.1745-9133.2001.tb00077.x · Cited by 60 · see citing works
Afterschool Programs in America: Origins, Growth, Popularity, and Politics
Mahoney, J. L., Parente, M. E., & Zigler, E. (2009) · Journal of Youth Development · doi:10.5195/jyd.2009.250 · Cited by 59 · see citing works
Dynarski, M., Moore, M. T., Mullens, J. E., Gleason, P., James‐Burdumy, S., Rosenberg, L., Pistorino, C., Silva, T., Deke, J., Mansfield, W., et al. (2003) · RePEc: Research Papers in Economics · Cited by 59 · see citing works
Bushman, B. J., & Wells, G. L. (2001) · Personality and Social Psychology Bulletin · doi:10.1177/0146167201279005 · Cited by 58 · see citing works
Newman, S. A., Fox, J. A., Flynn, E. A., et al. (2000) · Cited by 57 · see citing works
The Growth In After-School Programs And Their Impact
Hollister, R. G. (2003) · Works - Scholarship, Research, & Creative Expression (Swarthmore College) · Cited by 54 · see citing works
James‐Burdumy, S., Dynarski, M., & Deke, J. (2008) · Economic Inquiry · doi:10.1111/j.1465-7295.2007.00074.x · Cited by 53 · see citing works
(2018) · Research Synthesis Methods · doi:10.1002/(issn)1759-2887 · Cited by 53 · see citing works
James‐Burdumy, S., Dynarski, M., & Deke, J. (2007) · Educational Evaluation and Policy Analysis · doi:10.3102/0162373707309077 · Cited by 52 · see citing works
Cross, A. B., Gottfredson, D. C., Wilson, D. M., Rorie, M., & Connell, N. (2009) · Criminology & Public Policy · doi:10.1111/j.1745-9133.2009.00555.x · Cited by 42 · see citing works
Erratum: Robust variance estimation in meta-regression with dependent effect size estimates
Hedges, L. V., Tipton, E., & Johnson, M. C. (2010) · Research Synthesis Methods · doi:10.1002/jrsm.17 · Cited by 41 · see citing works
Gottfredson, D. C., Cross, A. B., Wilson, D., Rorie, M. L., & Connell, N. M. (2009) · Prevention Science · doi:10.1007/s11121-009-0156-7 · Cited by 40 · see citing works
Bohnert, A. M., Richards, M. H., Kohl, K. L., & Randall, E. T. (2008) · Journal of Youth and Adolescence · doi:10.1007/s10964-008-9336-1 · Cited by 39 · see citing works
Dworsky, A., & Courtney, M. (2009) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2008.10.134 · Cited by 35 · see citing works
Academic Achievement Programs and Youth Development: A Synthesis
Redd, Z., Cochran, S., & Hair, E. C. (2002) · PsycEXTRA Dataset · doi:10.1037/e315372004-001 · Cited by 34 · see citing works
Frazier, S. L., Mehta, T. G., Atkins, M. S., Hur, K., & Rusch, D. B. (2012) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-012-0432-x · Cited by 33 · see citing works
A Pilot Evaluation of Small Group Challenging Horizons Program (CHP)
Langberg, J. M., Smith, B. H., Bogle, K. E., Schmidt, J. D., Cole, W. R., & Pender, C. A. S. (2007) · Journal of Applied School Psychology · doi:10.1300/j370v23n01_02 · Cited by 32 · see citing works
Fidelity in After-School Program Intervention Research: A Systematic Review
Maynard, B. R., Peters, K. E., Vaughn, M. G., & Sarteschi, C. M. (2013) · Research on Social Work Practice · doi:10.1177/1049731513491150 · Cited by 30 · see citing works
Self-citationDynarski, M., Moore, M. T., James‐Burdumy, S., Rosenberg, L., Deke, J., & Mansfield, W. (2004) · US Department of Education · Cited by 30 · see citing works
Published versus unpublished dissertations in psycho‐oncology intervention research
Moyer, A., Schneider, S., Knapp‐Oliver, S. K., & Sohl, S. J. (2010) · Psycho-Oncology · doi:10.1002/pon.1561 · Cited by 27 · see citing works
After-School Programs for High School Students: An Evaluation of After School Matters
Hirsch, B. J., Hedges, L. V., Stawicki, J., & Mekinda, M. A. (2011) · doi:10.59656/yd-os9954.001 · Cited by 27 · see citing works
Le, T. N., Arifuku, I., Vuong, L., Tran, G., Lustig, D. F., & Zimring, F. E. (2011) · American Journal of Community Psychology · doi:10.1007/s10464-010-9413-y · Cited by 21 · see citing works
Understanding and measuring attendance in out-of-school programs
Simpkins, S. D., Little, P. M. D., Weiss, H. B., et al. (2004) · Cited by 21 · see citing works
Biggart, A., Kerr, K., O’Hare, L., et al. (2013) · International Journal of Educational Research · doi:10.1016/j.ijer.2013.07.005 · Cited by 16 · see citing works
Tolan, P. H., Henry, D., Schoeny, M., Bass, A., Lovegrove, P. J., & Nichols, E. M. (2013) · Cited by 15 · see citing works
After-School Programs in Public Elementary Schools: First Look. NCES 2009-043.
Parsad, B., & Lewis, L. L. (2009) · National Center for Education Statistics · Cited by 13 · see citing works
Fox, J. A., & Newman, S. A. (1997) · Cited by 10 · see citing works
Blumer, M. L. C., & Werner‐Wilson, R. J. (2010) · Journal of Feminist Family Therapy · doi:10.1080/08952830903453620 · Cited by 10 · see citing works
Pastchal-Temple, A. S. (2012) · ProQuest LLC eBooks · Cited by 5 · see citing works
Statewide Impact Study of 21st Century Community Learning Center Programs in Florida
Nguyễn, Đ. H. (2007) · Cited by 3 · see citing works
Sibley-Butler, O. (2004) · Cited by 2 · see citing works
Huang, D., Silver, D. A., Cheung, M., et al. (2011) · National Center for Research on Evaluation, Standards, and Student Testing · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 11
- Arcaira, E., Vile, J. D., & Reisner, E. R. (2010). Achieving high school graduation: Citizen Schools’ youth outcomes in Boston. Washington, DC: Policy Studies Associates Inc.
- Fashola, O. S. (1998). Review of extended-day and after-school programs and their effectiveness. Washington, D.C.: Center for Research on the Education of Students Placed at Risk.
- *Foley, E. M., & Eddins, G. (2001). Preliminary analysis of Virtual Y after-school program participants’ patterns of school attendance and academic performance. New York, NY: Fordham University.
- Gottfredson, D., Cross, A., Wilson, D., Rorie, M., & Connell, N. (2010c). Effects of participation in after-school programs for middle school students: A randomized trial. Journal of Research on Educational Effectiveness, 3(3), 282–313. · DOI
- *LaFrance, S., Twersky, F., Latham, N., Foley, E., Bott, C., & Lee, L. (2001). A safe place for healthy youth development: A comprehensive evaluation of the Bayview Safe Haven. San Francisco, CA: BTW Consultants & LaFrance Associates.
- McKinsey & Company. (2009). The economic impact of the achievement gap in America’s schools. Washington, DC: Social Sector Office.
- *Prenovost, J. K. E. (2001). A first-year evaluation of after-school learning programs in four urban middle schools in the Santa Ana Unified School District. Irvine, CA: Educational Administration, University of California—Irvine. Doctor of Education.
- Shadish, W. R., Cook, T. D., & Campbell, T. D. (2002). Experimental and quasi-experimental design for generalized causal inference. Belmont, CA: Wadsworth Cengage Learning.
- *Smeallie, J. E. (1997). An evaluation of an after-school tutorial and study skills program for middle school students at risk of academic failure. Maryland: Department of Curriculum and Instruction, University of Maryland at College Park. Doctor of Education.
- *Weisman, S. A., Womer, S. C., Kellstrong, M., Bryner, S., Kahler, A., Slocum, L. A., et al. (2003). Maryland After-School Community Grant Program Part 1: Report on the 2002–2003 school year evaluation of the phase 3 after-school programs. College Park, MD: University of Maryland.
- *Welsh, M. E., Russell, C. A., Williams, I., Reisner, E. R., & White, R. N. (2002). Promoting learning and school attendance through after school programs: Student level changes in education across TASC’s first three years. Washington, D. C.: Policy Studies Associates Inc.
Cited by
Sorted by citations
Cipriano, C., Strambler, M. J., Naples, L. H., Ha, C., Kirk, M., Wood, M., Sehgal, K., Zieher, A. K., Eveleigh, A., McCarthy, M., et al. (2023) · Child Development · doi:10.1111/cdev.13968 · Cited by 636 · see citing works
Lester, A. M., Chow, J. C., & Melton, T. N. (2020) · Journal of Youth and Adolescence · doi:10.1007/s10964-019-01188-8 · Cited by 29 · see citing works
- Authors
- Kremer, K. P., Maynard, B. R., Polanin, J. R., Vaughn, M. G., & Sarteschi, C. M.
- Affiliations
- Saint Louis University (US)
- Vanderbilt University (US)
- Chatham University (US)
- Corresponding author
- Kremer, Kristen P.
- ORCID
- Venue
- Journal of Youth and Adolescence
- Published
- 2014-11-22
- Volume
- 44
- Issue
- 3
- Pages
- 616-636
- ISSN
- 0047-2891 (ISSN-L)
- 1573-6601
- PMC
- PMC4597889
- OpenAlex
- W2167527154
- Cited by
- 132
- References
- 86
- Citations by year
- 2026: 11 · 2025: 13 · 2024: 7 · 2023: 11 · 2022: 6 · 2021: 16 · 2020: 16 · 2019: 15 · 2018: 15 · 2017: 7 · 2016: 13 · 2015: 2
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Youth and Adolescence (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P50HD052117)
- Topics
- Social Sciences › Safety Research › Youth Development and Social Support
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- after-school programs, at-risk youth, school attendance, externalizing problems, school engagement, academic performance, crime prevention, social-emotional functioning
- MeSH terms
- Absenteeism, Adolescent, Adolescent Behavior, Child, Child Welfare, Female, Humans, Male, Risk-Taking, Schools
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-04.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-04.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review