Evidence map›Paper›PMID 28804184›Full record

ArticleFamily relations2016

A Comparison of Three Online Recruitment Strategies for Engaging Parents.

Jodi Dworkin, Heather Hessel, Kate Gliske, Jessie H Rudi

Open access · greenAbstract read
In one paragraph

Article in Family relations, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
11.5field-weighted citation impact, top 1% of its field
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

  1. Core outcomes in neonatology: development of a core outcome set for neonatal research.Archives of disease in childhood. Fetal and neonatal edition · 2020
    Pooled it
  2. Trust in expert versus lay comments in online articles about spanking and car seat safety.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2021
    Trial
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  9. International journal of educational research · 2022
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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

4 authors at 1 institution in 1 country.

Jodi DworkinUniversity of Minnesota.
Heather HesselUniversity of Minnesota.
Kate GliskeUniversity of Minnesota.
Jessie H RudiUniversity of Minnesota.
University of Minnesota System · US

Funding

Translational Prevention Science Training ProgramT32MH010026 · NIMH · UNIVERSITY OF MINNESOTA · PI AUGUST, GERALD J · 2014 to 2018
$428k
NIMH NIH HHS T32 MH010026
6 · The paper itself

Abstract

Family scientists can face the challenge of effectively and efficiently recruiting normative samples of parents and families. Utilizing the Internet to recruit parents is a strategic way to find participants where they already are, enabling researchers to overcome many of the barriers to in-person recruitment. The present study was designed to compare three online recruitment strategies for recruiting parents: e-mail Listservs, Facebook, and Amazon Mechanical Turk (MTurk). Analyses revealed differences in the effectiveness and efficiency of data collection. In particular, MTurk resulted in the most demographically diverse sample, in a short period of time, with little cost. Listservs reached a large number of participants and resulted in a comparatively homogeneous sample. Facebook was not successful in recruiting a general sample of parents. Findings provide information that can help family researchers and practitioners be intentional about recruitment strategies and study design.

Indexed as

Data collectionFacebookMTurkonline recruitmentparenting

Identifiers

PMID28804184
PMCPMC5552070
OpenAlexW2517008456

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.