Evidence map›Paper›PMID 30920282›Full record

ArticleJournal of personality and social psychology2019

Kids becoming less alike: A behavioral genetic analysis of developmental increases in personality variance from childhood to adolescence.

René Mõttus, Daniel A Briley, Anqing Zheng, Frank D Mann, Laura E Engelhardt, Jennifer L Tackett, K Paige Harden, Elliot M Tucker-Drob

Abstract readTwin Study
In one paragraph

Article in Journal of personality and social psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

René MõttusDepartment of Psychology, University of Edinburgh.ORCID 0000-0002-6403-5224
Daniel A BrileyDepartment of Psychology, University of Illinois at Urbana-Champaign.
Anqing ZhengDepartment of Psychology, University of Illinois at Urbana-Champaign.ORCID 0000-0003-0238-8275
Frank D MannDepartment of Psychology, University of Texas at Austin.
Laura E EngelhardtDepartment of Psychology, University of Texas at Austin.
Jennifer L TackettDepartment of Psychology, Northwestern University.
K Paige HardenDepartment of Psychology, Population Research Center, University of Texas at Austin.ORCID 0000-0002-1557-6737
Elliot M Tucker-DrobDepartment of Psychology, Population Research Center, University of Texas at Austin.

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Elizabeth T. Gershoff · 2017 to 2026
$5.2M
Cortisol, Socioeconomic Status, and Genetic Influences on Cognitive DevelopmentR01HD083613 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2016 to 2020
$3.0M
Chronic stress and executive function in children: a neuroimaging study of twinsR21HD081437 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI CHURCH-LANG, JESSICA ALICE, TUCKER-DROB, ELLIOT MAX · 2015 to 2016
$425k
Testing Gene-Testosterone Interplay in Adolescent Alcohol UseR21AA023322 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI HARDEN, KATHRYN PAIGE · 2014 to 2015
$420k
Gene-Environment Interplay in Early Cognitive DevelopmentR21HD069772 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2011 to 2012
$407k
Genetic Influences on Adolescent Decision-Making and Alcohol UseR21AA020588 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI HARDEN, KATHRYN PAIGE · 2012 to 2013
$406k
NIAAA NIH HHS R21 AA020588NIAAA NIH HHS R21 AA023322NICHD NIH HHS P2C HD042849NICHD NIH HHS R01 HD083613NICHD NIH HHS R21 HD069772NICHD NIH HHS R21 HD081437NIH HHS
6 · The paper itself

Abstract

Recent work in personality development has indicated that the magnitude of individual differences in personality increases over child development. Do such patterns reflect the differentiation of individuals by genotype, an increasing influence of environmental factors, or some (interactive) combination of the two? Using a population-based sample of over 2,500 twins and multiples from the Texas Twin Project, we estimated age trends in the variances in self- and parent-reported measures of the Big Five personality traits between Ages 8 and 18 years. We then estimated age trends in the genetic and environmental components of variance in each measure. Individual differences in personality increased in magnitude from childhood through mid-adolescence. This pattern emerged using both children's self-reports and ratings provided by their parents, and was primarily attributable to increases in the magnitude of genetic influences. Most of the increasing genetic variance appeared nonadditive, pointing to the possibility that developmental processes tend to make genetically similar individuals disproportionately more alike in their personality traits over time. These findings could reflect increasing or accumulating effects of trait-by-trait interactions; person-by-environment transactions, whereby genetically similar people are disproportionally likely to experience similar environments; the activation of dominant genes across developmental transitions (e.g., puberty); or some combination of these three processes, among other factors. Theories of personality development will need to accommodate these descriptive findings, and longitudinal, genetically informed designs are needed to test some of the specific hypotheses springing from this study. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Indexed as

Genetics, BehavioralAdolescentAdolescent DevelopmentChildChild DevelopmentFemaleHumansIndividualityMalePersonalityPersonality Development

Identifiers

PMID30920282
PMCPMC6687565

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.