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Record W2096655149 · doi:10.4073/csr.2012.10

Indicated Truancy Interventions: Effects on School Attendance among Chronic Truant Students

2012· article· en· W2096655149 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCampbell Systematic Reviews · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Substance Use and School Attendance
Canadian institutionsnot available
FundersArthur J. Schmitt Foundation
KeywordsTruancyAttendancePsychologyPsychological interventionClinical psychologyMedical educationMedicineCriminologyPsychiatryPolitical scienceLaw

Abstract

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This Campbell systematic review examines the effect of interventions on school attendance to inform policy, practice and research. The review summarise findings from 28 studies conducted in the US, Canada, UK and Australia. Overall, truancy intervention programs are effective. There is a significant overall positive and moderate mean effect of intervention on attendance, which increases attendance by 4.7 days per student by the end of the intervention. Studies did not measure longer‐term outcomes, so we do not know if these gains in attendance continue after the intervention ends. There was no significant difference in the effectiveness of different delivery channels (e.g. school, court or community‐based), different modalities (e.g., individual, family, group, or multimodal), or different lengths of time (e.g., one day versus a school year). Contrary to popular belief and recommendations for best practices in truancy reduction found in the existing literature, collaborative programs and multimodal interventions do not produce greater effects on attendance than other types of programs. However, small sample sizes and substantial variation between studies suggest caution is needed in interpreting and applying these findings. There are shortcomings in the literature, notably the lack of inclusion of minority students. Executive summary/Abstract BACKGROUND Truancy is a significant problem in the U.S. and in other countries around the world. Truancy has been linked to serious immediate and far‐reaching consequences for youth, families, and schools and communities, leading researchers, practitioners, and policy makers to try to understand and to address the problem. Although numerous and significant steps have been taken at the local, state, and national levels to reduce truancy, the rates of truancy have at best remained stable or at worst been on the rise, depending on the indicator utilized to assess truancy rates. The costs and impact of chronic truancy are significant, with both short‐ and long‐term implications for the truant youth as well as for the family, school, and community. Although several narrative reviews and one meta‐analysis of attendance and truancy interventions have attempted to summarize the extant research, there are a number of limitations to these reviews. It is imperative that we systematically synthesize and examine the evidence base to provide a comprehensive picture of interventions that are being utilized to intervene with chronic truants, to identify interventions that are effective and ineffective, and to identify gaps and areas in which more research needs to be conducted to better inform practice and policy. OBJECTIVES The main objective of this systematic review was to examine the effects of interventions on school attendance to inform policy, practice, and research. The questions guiding this study were: Do truancy programs with a goal of increasing student attendance for truant youth affect school attendance behaviors of elementary and secondary students with chronic attendance problems? Are there differences in the effects of school‐based, clinic/community‐based, and court‐based programs? Are some modalities (i.e., family, group, multimodal) more effective than others in increasing student attendance? SEARCH STRATEGY A systematic and comprehensive search process was employed to locate all possible studies between 1990 and 2009, with every effort made to include both published and unpublished studies to minimize publication bias. A wide range of electronic bibliographic databases and research registers was searched, websites of relevant research centers and groups were mined for possible reports, over 200 e‐mails and letters were sent to programs listed in large databases of truancy programs compiled by the National Center for School Engagement and the National Dropout Prevention Center, and contact with researchers in the field of truancy and absenteeism was attempted. In addition, we examined reference lists of all previous reviews as well as citations in research reports for potential studies. SELECTION CRITERIA Studies eligible for this review were required to meet several eligibility criteria. Studies must have utilized a randomized, quasi‐experimental, or single‐group pre‐posttest design with the aim of evaluating the effectiveness of interventions with a stated primary goal of increasing student attendance (or decreasing absenteeism) among chronic truant students. Studies must have measured an attendance outcome and reported sufficient data to calculate an effect size. Finally, studies must have been published between 1990 and 2009 in the United States, United Kingdom, Australia, or Canada. DATA COLLECTION AND ANALYSIS A total of 28 studies, reported in 26 reports, met final eligibility criteria and were included in this review and meta‐analysis. Of the studies that were included, 5 utilized a randomized design (RCT), 11 utilized a quasi‐experimental design (QED), and 12 utilized a single group pre‐posttest design (SGPP). All eligible studies were coded using a structured coding instrument, with 20% of studies coded by a second coder. Descriptive analysis was conducted to examine and describe data related to the characteristics of the included studies. Analysis of the mean effect size, the heterogeneity of effect sizes, and the relationship between effect size and methodological and substantive characteristics of the interventions was also conducted separately for the RCT/QED studies and the SGPP studies. The effect sizes were calculated using the standardized mean difference effect size statistic, correcting for small sample size using Hedges' g (Hedges, 1992). Assuming a mixed effects model, the analog to the ANOVA and bivariate meta‐regression frameworks were used to examine potential moderating variables related to study, participant, and intervention characteristics. RESULTS The meta‐analytic findings demonstrated a significant overall positive and moderate mean effect of interventions on attendance outcomes. The mean effect size for interventions examined in the included RCT studies was .57 and the mean effect size for the QED studies was .43. No significant differences were observed between the RCT and QED studies in the magnitude of the treatment effect (Q b = .28, p >.05). The mean effect size of interventions examined using an SGPP design was .95. A moderate effect on attendance outcomes is encouraging; however, the overall mean effect size is masked by a large amount of heterogeneity, indicating significant variance in effect sizes between studies. Moderator analyses found no significant differences in mean effects between studies on any moderating variable tested. No differences were found between school‐, court‐, or community‐based programs or between different modalities of programs. The duration of the intervention also did not demonstrate any association with effect size. Collaborative programs and multimodal interventions produced statistically similar effects on attendance as non‐collaborative and single‐modality programs, which runs counter to the prevailing beliefs and recommendations for best practices in truancy reduction found in the literature. Other significant findings from this study relate to methodological shortcomings, the absence of important variables as well as gaps in the evidence base. These findings include the lack of inclusion of minority students and a lack of reporting and statistical analysis of demographic variables, particularly race/ethnicity and socioeconomic status (SES). Given that race and SES have been linked to absenteeism, the absence of this data was surprising. The majority of studies also lacked adequate descriptions of the interventions, making replication of the intervention difficult, and failed to measure and report long‐ter

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.083
GPT teacher head0.397
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it