ArticleJournal of medical Internet research2016
Participation in an Intensive Longitudinal Study with Weekly Web Surveys Over 2.5 Years.
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.
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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.
The trial behind it
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Who cites it
33 citing papers in PubMed, 49 citations in OpenAlex.
- Exposure to Nearby Homicides and Young Women's Reproductive Lives During the Transition to Adulthood.AJS; American journal of sociology · 2023Article
- What Explains Socioeconomic Disparities in Early Pregnancy Rates?Social forces; a scientific medium of social study and interpretation · 2023Article
- The Dynamics of Intimate Relationships and Violent Victimization Among Young Women.Journal of interpersonal violence · 2023Article
- Variants of Second Demographic Transition: Empirical Evidence from Young Women's Attitudes About Childbearing.Population research and policy review · 2022Article
- What a (Young) Woman Wants: Concurrent Effects of Desire to Avoid Pregnancy and Desire for Sex on Sexual Intercourse and Contraceptive Use.Demography · 2022Article
- Sexual Intercourse Frequency During Pregnancy: Weekly Surveys Among 237 Young Women From A Random Population-Based Sample.The journal of sexual medicine · 2022Article
- Past, present, and future dimensions of socioeconomic status and sexual self-efficacy of young women during the transition into adulthood.Social science & medicine (1982) · 2022Article
- Predicting panel attrition in longitudinal HRQoL surveys during the COVID-19 pandemic in the US.Health and quality of life outcomes · 2022Article
- Religiosity and Young Unmarried Women's Sexual and Contraceptive Behavior: New Evidence From a Longitudinal Panel of Young Adult Women.Demography · 2022Article
- A Web-Based Event History Calendar Approach for Measuring Contraceptive Use Behavior.Field methods · 2022Article
- Changes in pregnancy desire after a pregnancy scare in a random sample of young adult women in a Michigan county.Contraception · 2021Article
- Using Paradata to Evaluate Youth Participation in a Digital Diary Study.Social science computer review · 2021Article
- How Nearby Homicides Affect Young Women's Pregnancy Desires: Evidence From a Quasi-Experiment.Demography · 2021Article
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- Attentional and approach biases to alcohol cues among young adult drinkers: An ecological momentary assessment study.Experimental and clinical psychopharmacology · 2020Article
- The Dynamics of Intimate Relationships and Contraceptive Use During Early Emerging Adulthood.Demography · 2020Article
- The Prevalence, Frequency and Social Ecology of Sexual Concurrency Among Young Adult Women.Perspectives on sexual and reproductive health · 2020Article
- A cross-sectional survey examining motivation and beliefs to participating in a web-based prospective cohort study on nutrition and health among individuals with a low socioeconomic status.BMC public health · 2020Article
- The Social Production and Salience of Young Women's Desire for Sex.Social forces; a scientific medium of social study and interpretation · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
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.