MSR29 Predicting Panel Attrition in Longitudinal HRQoL Surveys during the COVID-19 Pandemic in the US

[1]  N. Biddle,et al.  Determinants of participation in a longitudinal survey during the COVID-19 pandemic: the case of a low-infection country. , 2023, Longitudinal and life course studies : international journal.

[2]  G. Perrault Bureau , 2021, La boussole du confiné.

[3]  N. Biddle,et al.  COVID-19 Survey Participation and Wellbeing: A Survey Experiment , 2021, Journal of empirical research on human research ethics : JERHRE.

[4]  Mary L. Gray,et al.  Capturing COVID-19Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study , 2021, Journal of Medical Internet Research.

[5]  E. Wouters,et al.  The pandemic of online research in times of COVID-19 , 2021, BMJ Open.

[6]  C. Czeisler,et al.  Uncovering survivorship bias in longitudinal mental health surveys during the COVID-19 pandemic , 2021, Epidemiology and Psychiatric Sciences.

[7]  J. Hay,et al.  A US Population Health Survey on the Impact of COVID-19 Using the EQ-5D-5L , 2020, Journal of General Internal Medicine.

[8]  M. Couper,et al.  Attrition in a Longitudinal Online Randomized Controlled Trial with Prospective Homeowners , 2020 .

[9]  Gema Zamarro,et al.  Personality as a Predictor of Unit Nonresponse in an Internet Panel , 2020 .

[10]  Y. Tozan,et al.  Social media as a recruitment platform for a nationwide online survey of COVID-19 knowledge, beliefs, and practices in the United States: methodology and feasibility analysis , 2020, BMC Medical Research Methodology.

[11]  L. V. van de Poll-Franse,et al.  Cancer survivors who fully participate in the PROFILES registry have better health-related quality of life than those who drop out , 2019, Journal of Cancer Survivorship.

[12]  Gary Smith Step away from stepwise , 2018, Journal of Big Data.

[13]  Dimitri A Christakis,et al.  Are Mechanical Turk worker samples representative of health status and health behaviors in the U.S.? , 2018, PloS one.

[14]  J. Barber,et al.  Participation in an Intensive Longitudinal Study with Weekly Web Surveys Over 2.5 Years , 2016, Journal of medical Internet research.

[15]  Camille L. Ryan,et al.  Educational Attainment in the United States: 2015. Population Characteristics. Current Population Reports. P20-578. , 2016 .

[16]  Jeremy Freese,et al.  The Demographic and Political Composition of Mechanical Turk Samples , 2016 .

[17]  D. Tingley,et al.  “Who are these people?” Evaluating the demographic characteristics and political preferences of MTurk survey respondents , 2015 .

[18]  Joseph A. Bulbulia,et al.  Demographic and Psychological Predictors of Panel Attrition: Evidence from the New Zealand Attitudes and Values Study , 2015, PloS one.

[19]  D. Sunshine Hillygus,et al.  Looking Beyond Demographics: Panel Attrition in the ANES and GSS , 2014, Political Analysis.

[20]  Jesse Chandler,et al.  Using Mechanical Turk to Study Clinical Populations , 2013 .

[21]  Adam J. Berinsky,et al.  Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk , 2012, Political Analysis.

[22]  Jon Sprouse A validation of Amazon Mechanical Turk for the collection of acceptability judgments in linguistic theory , 2010, Behavior research methods.

[23]  Panagiotis G. Ipeirotis,et al.  Running Experiments on Amazon Mechanical Turk , 2010, Judgment and Decision Making.

[24]  Bill Tomlinson,et al.  Who are the crowdworkers?: shifting demographics in mechanical turk , 2010, CHI Extended Abstracts.

[25]  Gunther Eysenbach,et al.  Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES) , 2004, Journal of medical Internet research.

[26]  J. Wyatt,et al.  Using the Internet for Surveys and Health Research , 2002, Journal of medical Internet research.

[27]  G. Pugliese,et al.  Severe Streptococcus pyogenes Infections, United Kingdom, 2003–2004 , 2008, Emerging infectious diseases.

[28]  M. French,et al.  Self-reported Health Status Differs for Amazon’s Mechanical Turk Respondents Compared With Nationally Representative Surveys , 2018, Medical care.