Evidence map›Paper›PMID 26590135›Full record

ArticleBehavior genetics2016

Genes, Culture and Conservatism-A Psychometric-Genetic Approach.

Inga Schwabe, Wilfried Jonker, Stéphanie M van den Berg

Abstract readTwin Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Behavior genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Inga SchwabeDepartment of Research Methodology, Measurement, and Data Analysis, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands. i.schwabe@utwente.nl.ORCID http://orcid.org/0000-0002-3465-8308
Wilfried JonkerDepartment of Research Methodology, Measurement, and Data Analysis, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands.
Stéphanie M van den BergDepartment of Research Methodology, Measurement, and Data Analysis, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands.

Funding

BIOLOGICAL AND CULTURAL DETERMINANTS OF ALCOHOLR01AA006781 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI HEATH, ANDREW C. · 1985 to 1988
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EPIDEMIOLOGY OF ANXIETY AND DEPRESSIONR01MH040828 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 1986 to 1992
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NIAAA NIH HHS R01 AA006781NIMH NIH HHS R01 MH040828
6 · The paper itself

Abstract

The Wilson-Patterson conservatism scale was psychometrically evaluated using homogeneity analysis and item response theory models. Results showed that this scale actually measures two different aspects in people: on the one hand people vary in their agreement with either conservative or liberal catch-phrases and on the other hand people vary in their use of the "?" response category of the scale. A 9-item subscale was constructed, consisting of items that seemed to measure liberalism, and this subscale was subsequently used in a biometric analysis including genotype-environment interaction, correcting for non-homogeneous measurement error. Biometric results showed significant genetic and shared environmental influences, and significant genotype-environment interaction effects, suggesting that individuals with a genetic predisposition for conservatism show more non-shared variance but less shared variance than individuals with a genetic predisposition for liberalism.

Indexed as

CultureModels, GeneticPoliticsAdolescentAdultAgedAged, 80 and overHumansMiddle AgedPsychometricsYoung AdultConservatismGenotype–environment interactionIRTLiberalismMeasurement errorPsychometrics

Identifiers

PMID26590135
PMCPMC4886154

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.