Evidence map›Paper›PMID 31327875›Full record

ArticleJournal of marriage and the family2017

They Should Say "I Don't": Norms About Midpregnancy Marriage and Job Loss.

Christina M Gibson-Davis, Corey Vernot, Maggie Butler, Natalie Hall, Lauren Taylor, Katherine Eastwood, Xinri Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of marriage and the family, 2017. 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

7 authors.

Christina M Gibson-DavisDuke University, Box 99457, Durham, NC 27708. This article was edited by Kelly Raley.
Corey VernotDuke University, Box 99457, Durham, NC 27708. This article was edited by Kelly Raley.
Maggie ButlerDuke University, Box 99457, Durham, NC 27708. This article was edited by Kelly Raley.
Natalie HallDuke University, Box 99457, Durham, NC 27708. This article was edited by Kelly Raley.
Lauren TaylorDuke University, Box 99457, Durham, NC 27708. This article was edited by Kelly Raley.
Katherine EastwoodDuke University, Box 99457, Durham, NC 27708. This article was edited by Kelly Raley.
Xinri ZhangDuke University, Box 99457, Durham, NC 27708. This article was edited by Kelly Raley.

Funding

Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
NICHD NIH HHS P2C HD065563
6 · The paper itself

Abstract

This study examined effects of local economic conditions on individuals' attitudes toward midpregnancy marriages using an experimental vignette method. Adults (N = 460) were each shown two vignettes about a hypothetical couple expecting a baby; within each vignette pair, vignettes randomly varied as to whether the couple lived in a community that had recently experienced job losses or had stable employment. Respondents indicated if the couple should and will get married before the baby's birth. Results showed that worse local economic conditions led people to believe that marriage would be less common. Among more socio-economically disadvantaged respondents, if the hypothetical couple lived in a community with job loss, fewer respondents also thought that the couple should marry. In contrast, among more socioeconomically advantaged respondents, slightly more respondents thought that the couple should marry. When economic conditions worsen, low-socioeconomic-status individuals may believe that financial prerequisites for marriage become harder to meet.

Indexed as

economic well-beinglow-income familiesmarriageunemployment

Identifiers

PMID31327875
PMCPMC6640869

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.