Evidence map›Paper›PMID 38587720›Full record

ArticleBehavior genetics2024

The Detection of Environmental Influences on Academic Achievement Appears to Depend on the Analytic Approach.

S Alexandra Burt, Patrick O'Keefe, Wendy Johnson, Daniel Thaler, Leslie D Leve, Misaki N Natsuaki, David Reiss, Daniel S Shaw, Jody M Ganiban, Jenae M Neiderhiser

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Behavior genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

10 authors at 9 institutions in 2 countries.

S Alexandra BurtDepartment of Psychology, Michigan State University, East Lansing, USA. burts@msu.edu.
Patrick O'KeefeDepartment of Neurology, Oregon Health & Science University, Portland, USA.
Wendy JohnsonDepartment of Psychology, University of Edinburgh, Edinburgh, UK.
Daniel ThalerDepartment of Psychology, Michigan State University, East Lansing, USA.
Leslie D LeveCollege of Education, University of Oregon, Eugene, USA.
Misaki N NatsuakiDepartment of Psychology, University of California, Riverside, USA.
David ReissChild Study Center, Yale University, New Haven, USA.
Daniel S ShawDepartment of Psychology, University of Pittsburgh, Pittsburgh, USA.
Jody M GanibanDepartment of Psychology, George Washington University, Washington, DC, USA.
Jenae M NeiderhiserDepartment of Psychology, The Pennsylvania State University, State College, USA.
Michigan State University · USGeorge Washington University · USOregon Department of Education · USOregon Health & Science University · USPennsylvania State University · USUniversity of California, Riverside · USUniversity of Edinburgh · GBUniversity of Pittsburgh · USYale University · US

Funding

The Early Growth and Development Study: Family Process, Genes and School EntryR01HD042608 · NICHD · OREGON SOCIAL LEARNING CENTER, INC. · PI CAPALDI, DEBORAH M. · 2002 to 2011
$14.9M
Genes, Prenatal Drug Exposure, and the Postnatal Environment: An Adoption StudyR01DA020585 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEIDERHISER, JENAE M. · 2007 to 2011
$5.9M
Gene-Environment Interplay and Development of Psychiatric Symptoms in ChildrenR01MH092118 · NIMH · PENNSYLVANIA STATE UNIVERSITY, THE · PI LEVE, LESLIE DIANE, NEIDERHISER, JENAE M. · 2010 to 2014
$3.1M
NICHD NIH HHS R01 HD042608NIDA NIH HHS R01 DA020585NIMH NIH HHS R01 MH092118ODCDC CDC HHS UH3 OD023389
6 · The paper itself

Abstract

One long-standing analytic approach in adoption studies is to examine correlations between features of adoptive homes and outcomes of adopted children (hereafter termed 'measured environment correlations') to illuminate environmental influences on those associations. Although results from such studies have almost uniformly suggested modest environmental influences on adopted children's academic achievement, other work has indicated that adopted children's achievement is routinely higher than that of their reared-apart family members, often substantially so. We sought to understand this discrepancy. We examined academic achievement and literacy-promotive features of the home in 424 yoked adoptive/biological families participating in the Early Growth and Development Study (EGDS; i.e., adopted children, adoptive mothers, birth mothers, and biological siblings of the adopted children remaining in the birth homes) using an exhaustive modeling approach. Results indicated that, as anticipated, adopted children scored up to a full standard deviation higher on standardized achievement tests relative to their birth mothers and reared-apart biological siblings. Moreover, these achievement differences were associated with differences in the literacy-promotive features of the adoptive and birth family homes, despite minimal measured environment correlations within adoptive families. A subsequent simulation study highlighted noise in measured environmental variables as an explanation for the decreased utility of measured environment correlations. We conclude that the field's heavy focus on measured environment correlations within adoptive families may have obscured detection of specific environmental effects on youth outcomes, and that future adoption studies should supplement their measured environment analyses with mean differences between reared-apart relatives.

Indexed as

Academic SuccessAdolescentAdoptionChildEducational StatusFemaleHumansMothersSiblingsAcademic achievementAdoption studyMeans and correlationsRearing environment

Identifiers

PMID38587720
OpenAlexW4394575828

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.