Evidence map›Paper›PMID 27338859›Full record

ArticleJournal of medical Internet research2016

Participation in an Intensive Longitudinal Study with Weekly Web Surveys Over 2.5 Years.

Jennifer Barber, Yasamin Kusunoki, Heather Gatny, Paul Schulz

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
15.6field-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

33 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. What Explains Socioeconomic Disparities in Early Pregnancy Rates?Social forces; a scientific medium of social study and interpretation · 2023
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  20. The Social Production and Salience of Young Women's Desire for Sex.Social forces; a scientific medium of social study and interpretation · 2020
    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 at 1 institution in 1 country.

Jennifer BarberInstitute for Social Research, Population Studies Center, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-7457-7916
University of Michigan · US

Funding

Population Studies Center Infrastructure GrantR24HD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMOCK, PAMELA J. · 2001 to 2016
$13.2M
Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
Young Women's Relationships, Contraception, and Unintended PregnancyR01HD050329 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARBER, JENNIFER S. · 2007 to 2011
$3.3M
Electronic Journal Data Collection Technologies for Interdisciplinary ResearchR21DA024186 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AXINN, WILLIAM G., COUPER, MICK P · 2007 to 2010
$1.2M
NICHD NIH HHS P2C HD041028NICHD NIH HHS R01 HD050329NICHD NIH HHS R24 HD041028NIDA NIH HHS R21 DA024186
6 · The paper itself

Abstract

backgroundTechnological advances have made it easier for researchers to collect more frequent longitudinal data from survey respondents via personal computers, smartphones, and other mobile devices. Although technology has led to an increase in data-intensive longitudinal studies, little is known about attrition from such studies or the differences between respondents who complete frequently administered surveys in a timely manner, and respondents who do not.

objectiveWe examined respondent characteristics and behaviors associated with continued and on-time participation in a population-based intensive longitudinal study, using weekly web-based survey interviews over an extended period.

methodsWe analyzed data from the Relationship Dynamics and Social Life study, an intensive longitudinal study that collected weekly web-based survey interviews for 2.5 years from 1003 18- and 19-year-olds to investigate factors shaping the dynamics of their sexual behavior, contraceptive use, and pregnancies.

resultsOrdinary least squares and logistic regression analyses showed background respondent characteristics measured at baseline were associated with the number of days respondents remained enrolled in the study, the number of interviews they completed, and the odds that they were late completing interviews. In addition, we found that changes in pregnancy-related behaviors reported in the weekly interviews were associated with late completion of interviews. Specifically, after controlling for sociodemographic, personality, contact information, and prior experience variables, we found that weekly reports such as starting to have sex (odds ratio [OR] 1.17, 95% CI 1.03-1.32, P=.01), getting a new partner (OR 1.76, 95% CI 1.53-2.03, P<.001), stopping the use of contraception (OR 1.28, 95% CI 1.10-1.49, P=.001), and having a new pregnancy (OR 5.57, 95% CI 4.26-7.29, P<.001) were significantly associated with late survey completion. However, young women who reported changes in pregnancy-related behaviors also had lower levels of study attrition, and completed more interviews overall, than did their counterparts.

conclusionsWe found that measures of participation in a longitudinal study with weekly web surveys varied not only by respondent characteristics, but also by behaviors measured across the surveys. Our analyses suggest that respondents who experience the behaviors measured by the study may maintain higher participation levels than respondents who do not experience those behaviors.

Indexed as

InternetAdolescentContraception BehaviorFemaleHumansLeast-Squares AnalysisLogistic ModelsLongitudinal StudiesMaleOdds RatioPregnancySexual BehaviorSexual PartnersSurveys and QuestionnairesYoung Adultintensive data collectionlongitudinal studypanel studyRDSLweb survey

Identifiers

PMID27338859
PMCPMC4937177
OpenAlexW2465988077

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.