A Study on Sample Attrition in Panel Survey: Focusing on Korea Labor and Income Panel Study

2016 ◽  
Vol 17 (3) ◽  
pp. 1-24
Author(s):  
Kyung Hee Lee ◽  
Insik Min
2021 ◽  
pp. 194016122110252
Author(s):  
Sebastián Valenzuela ◽  
Daniel Halpern ◽  
Felipe Araneda

Despite widespread concern, research on the consequences of misinformation on people's attitudes is surprisingly scant. To fill in this gap, the current study examines the long-term relationship between misinformation and trust in the news media. Based on the reinforcing spirals model, we analyzed data from a three-wave panel survey collected in Chile between 2017 and 2019. We found a weak, over-time relationship between misinformation and media skepticism. Specifically, initial beliefs on factually dubious information were negatively correlated with subsequent levels of trust in the news media. Lower trust in the media, in turn, was related over time to higher levels of misinformation. However, we found no evidence of a reverse, parallel process where media trust shielded users against misinformation, further reinforcing trust in the news media. The lack of evidence of a downward spiral suggests that the corrosive effects of misinformation on attitudes toward the news media are less serious than originally suggested. We close with a discussion of directions for future research.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Jörg Matthes ◽  
Franziska Marquart ◽  
Christian von Sikorski

AbstractWe test the role of like-minded and cross-cutting political discussion as a facilitator of online and offline political participation and examine the role of strong versus weak network ties. Most prior research on the topic has employed cross-sectional designs that may lead to spurious relationships due to the lack of controlled variables. The findings of a two-wave panel survey controlling the autoregressive effects suggest that cross-cutting talk with weak ties significantly dampens online but not offline political participation. However, no such effects were detectable for cross-cutting talk with strong ties. In addition, we found no effect of discussions involving like-minded individuals in either weak or strong network connections on online and offline forms of political engagement. Implications are discussed.


2019 ◽  
Vol 21 (11-12) ◽  
pp. 2422-2442 ◽  
Author(s):  
Florian Arendt ◽  
Sebastian Scherr ◽  
Daniel Romer

Suicide is a leading cause of death among youth, and media depictions of suicidal behavior can be a contributing risk factor. Of interest, Instagram recently received more scholarly attention due to its large number of publicly available, explicit, and graphic depictions of self-harm. Importantly, researchers have hypothesized that exposure to this content could be a risk for self-harm and suicide in vulnerable audiences. We tested this hypothesis using a two-wave US panel survey among young adults ( N = 729). Analyses indicated that exposure to self-harm on Instagram was associated with suicidal ideation, self-harm, and emotional disturbance even controlling for exposure to other sources with similar content. As hypothesized, exposure to self-harm on Instagram at the first wave prospectively predicted self-harm and suicidality-related outcomes at the second wave 1 month later. These findings provide evidence that such exposure can lead to contagion in vulnerable users. Implications are discussed.


1998 ◽  
Vol 33 (2) ◽  
pp. 251 ◽  
Author(s):  
John Fitzgerald ◽  
Peter Gottschalk ◽  
Robert Moffitt

2021 ◽  
Author(s):  
Paola Daniore ◽  
Vasilis Nittas ◽  
André Moser ◽  
Marc Höglinger ◽  
Viktor von Wyl

BACKGROUND Mitigation of pandemic spread relies on targeted approaches aimed at preventing non-household interactions. Contact tracing in the form of digital proximity tracing (DPT) apps has been widely adopted in multiple countries due to its perceived added benefits of tracing speed and breadth in comparison to traditional manual contact tracing (MCT). Monitoring of user responses to exposure notifications (EN) can provide insights into the effect of DPT app use on managing the spread of SARS-CoV-2. OBJECTIVE The aim of this study was to assess the effectiveness of DPT apps in users taking mitigative actions to reduce infection spread based on nationwide panel data on DPT app use in Switzerland. METHODS We assessed data from the COVID-19 Social Monitor, a nationwide panel study of Swiss residents that classified (a) non-users of the SwissCovid app, (b) users of the SwissCovid app and (c) users of the SwissCovid app who received exposure notifications (EN). A Venn diagram framework was applied to describe the (non-)overlap of these subpopulations with SARS-CoV-2 outcomes. RESULTS 12525 assessments of 2403 participants were included. DPT app users revealed higher adherence to preventive measures than app non-users. 75.9% (95% CI: 60.3-91.5%) of DPT app users revealed taking at least one mitigative action after receiving EN. 30.0% (95% CI: 11.9-54.3%) of the DPT app users also tested positive for SARS-CoV-2 following receipt of EN, which is over three times more than DPT app users who did not receive EN (8.0%, 95% CI: 5.0-11.9%). CONCLUSIONS Response from three out of four individuals to EN reveals a possible contribution of DPT apps to users taking mitigative actions to limit SARS-CoV-2 spread. The analytic approach proposed in this study provides a foundation to researchers and health authorities to comprehensively assess population-level DPT app effectiveness by providing an intuitive framework for monitoring indicator construction. CLINICALTRIAL N/A


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 464-464
Author(s):  
Anushiya Vanajan ◽  
Ute Bültmann ◽  
Kène Henkens

Abstract Background. Past studies have revealed the effect of retirement on various health measures. None, however, have studied retirement’s effect on vitality, a holistic measure of physical and mental health. To boot, very few studies have addressed the heterogeneity in the health consequences of retirement. This study investigates the effect of retirement on vitality, and how this effect is influenced by 1) manual work and 2) baseline vitality. Methods. The analyses were based on two waves of the NIDI Pension Panel Survey, collected in the Netherlands in 2015 and 2018. Data from 4,156 older workers (N=4,156), of whom 1,934 (46.5%) retired between waves, were analysed. Vitality is assessed in three ways, as: 1) a composite measure of vitality, and its sub-components 2) energy and 3) fatigue. Results. Conditional Change OLS Regression Models demonstrate that retirement improves vitality and decreases fatigue. These effects were heterogeneous. Retirement was more advantageous for older workers who experienced poor vitality and increased fatigue before retirement. Likewise, older workers who were employed in manual work before retirement, experienced the largest gains in vitality and deepest declines in fatigue post-retirement. No such effects were found for energy. Conclusions. Older workers experiencing low baseline vitality and high baseline fatigue and those in manual labor may benefit from early retirement. Since early retirement is financially unfavorable, it is essential to provide these groups of workers with workplace vitality interventions that may not only improve their vitality and quality of working life, but also extend their participation in the labor market.


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