Evidence map›Paper›PMID 37139485›Full record

ArticleJournal of development economics2023

Do referrals improve the representation of women in mobile phone surveys?

Steven Glazerman, Karen A Grépin, Valerie Mueller, Michael Rosenbaum, Nicole Wu

Abstract read
In one paragraph

Article in Journal of development economics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The Gendered Consequences of COVID-19 for Internal Migration.Population research and policy review · 2023
    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

5 authors.

Steven GlazermanInnovations for Poverty Action, United States.
Karen A GrépinSchool of Public Health, University of Hong Kong, United States.
Valerie MuellerSchool of Politics and Global Studies, Arizona State University and International Food Policy Research Institute, United States.
Michael RosenbaumInnovations for Poverty Action, United States.
Nicole WuSchool of Public Health, University of Hong Kong, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Random digit dial surveys with mobile phones risk under-representation of women. To address this, we compare the characteristics of women recruited directly with those of women recruited through referrals from male household members. The referral process improves representation of vulnerable groups, such as young women, the asset poor, and those living in areas with low connectivity. Among mobile phone users, we show a referral (rather than a direct dial) protocol includes more nationally representative proportions of women with these attributes. While seeking intra-household referrals may improve representation, we show that it does so at a higher cost.

Indexed as

Gender representationMobile phone surveysReferralSurvey methods

Identifiers

PMID37139485
PMCPMC10114084

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.