Evidence map›Paper›PMID 25525321›Full record

ArticleSocial work research2014

Toward a Bioecological Model of School Engagement: A Biometric Analysis of Gene and Environmental Factors.

Brandy R Maynard, Kevin M Beaver, Michael G Vaughn, Matthew DeLisi, Gregory Roberts

Abstract read
In one paragraph

Article in Social work research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Brandy R MaynardAssistant professor, School of Social Work, Saint Louis University, Tegeler Hall, 3550 Lindell Blvd., St. Louis, MO 63103.
Kevin M BeaverAssociate professor, College of Criminology and Criminal Justice, Florida State University; Visiting Distinguished Research Professor, Center for Social and Humanities Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Michael G VaughnProfessor, School of Social Work, Saint Louis University.
Matthew DeLisiProfessor, Department of Sociology, Iowa State University.
Gregory RobertsAssociate director, Meadows Center for Preventing Educational Risk University of Texas at Austin.

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Texas Center for Learning DisabilitiesP50HD052117 · NICHD · UNIVERSITY OF HOUSTON · PI FLETCHER, JACK M · 2006 to 2023
$26.9M
NICHD NIH HHS P01 HD031921NICHD NIH HHS P50 HD052117
6 · The paper itself

Abstract

School disengagement is associated with poor academic achievement, dropout, and risk behaviors such as truancy, delinquency, and substance use. Despite empirical research identifying risk correlates of school disengagement across the ecology, it is unclear from which domain these correlates arise. To redress this issue, the current study used intraclass correlation and DeFries-Fulker analyses to longitudinally decompose variance in three domains of engagement (academic, behavioral, and emotional) using data from the National Longitudinal Study of Adolescent Health. Findings suggest that nonshared environmental factors (that is, environmental contexts and experiences that are unique to each sibling) account for approximately half of the variance in indicators of school disengagement when controlling for genetic influences, and that this variance increases as adolescents grow older and rely less on their immediate family. The present study contributes new evidence on the biosocial underpinnings of school engagement and highlights the importance of interventions targeting factors in the nonshared environment.

Indexed as

academic performancebehavior geneticspreventionschool attachmentschool engagement

Identifiers

PMID25525321
PMCPMC4267850

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.