Evidence map›Paper›PMID 41537017›Full record

ArticleSocius : sociological research for a dynamic world

Visualizing Multiple Sexual Identity Responses Using a Network Approach.

Christopher A Julian, Lauren Newmyer, Wendy D Manning, Claire M Kamp Dush

Abstract read
In one paragraph

Article in Socius : sociological research for a dynamic world. 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
–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

1 citing paper in PubMed.

  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

4 authors.

Christopher A JulianDepartment of Sociology, Center for Family and Demographic Research, Bowling Green State University.
Lauren NewmyerDepartment of Sociology, Center for Family and Demographic Research, Bowling Green State University.
Wendy D ManningDepartment of Sociology, Center for Family and Demographic Research, Bowling Green State University.
Claire M Kamp DushDepartment of Sociology, Minnesota Population Center, University of Minnesota, Minneapolis, MN.

Funding

Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
Mechanisms Underlying Sexual Minority Health Disparities in the United StatesR01HD094081 · NICHD · UNIVERSITY OF MINNESOTA · PI Claire M Kamp Dush, WENDY D. MANNING · 2018 to 2026
$4.3M
Computing and Data CoreP2CHD050959 · NICHD · BOWLING GREEN STATE UNIVERSITY · PI BROWN, SUSAN L. · 2016 to 2021
$1.2M
NICHD NIH HHS P2C HD041023NICHD NIH HHS P2C HD050959NICHD NIH HHS R01 HD094081
6 · The paper itself

Abstract

Measurement strategies for gauging sexual identity within the United States's population-based data infrastructure are evolving. Despite notable advancements, most measurement techniques still do not accurately reflect the nuanced ways in which sexually diverse adults conceptualize their identities. One measurement limitation involves asking participants to choose a single "best" identity. In this visualization, drawing on data from the National Couples' Health and Time Study, the authors illustrate the complexity of sexual identity responses by constructing a network that aggregates the patterns of multiple identities chosen by respondents. The findings underscore that relying on a single-item response risks undercounting the range of sexually diverse identities. As national surveys progress in incorporating sexual identity measures, a "select all that apply" option is crucial if the identities of sexually diverse adults are to be accurately represented.

Indexed as

Affiliation networkDemographyMeasurementSelect allSexuality

Identifiers

PMID41537017
PMCPMC12799249

What OpenQuestion holds

Textmetadata
LicenceTDM
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.