Trends in Telephone Outcomes, 2008 - 2015
David Dutwin,Paul J. Lavrakas +1 more
TLDR
In this article, the authors document trends in telephone survey dispositions for many major survey firms since the start of the "cell phone period" of survey research, roughly 2008 to the present.Abstract:
This report documents trends in telephone survey dispositions for many major survey firms since the start of the “cell phone period” of survey research, roughly 2008 to the present. Findings for this period show a stark decline in productivity on landlines with some encouraging news for the future of cell phone research.read more
Citations
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Recruiting and retaining youth and young adults: challenges and opportunities in survey research for tobacco control.
Jennifer Cantrell,Elizabeth C. Hair,Alexandria A. Smith,Morgane Bennett,Jessica M. Rath,Randall K. Thomas,Mansour Fahimi,J. Michael Dennis,Donna Vallone +8 more
TL;DR: This study is among the first to employ this hybrid ABS-to-online methodology to recruit and retain youth and young adults in a probability-based online cohort panel, particularly valuable for conducting research among younger populations as it capitalizes on their increasing access to and comfort with digital communication.
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Where Have the Respondents Gone? Perhaps We Ate Them All
TL;DR: The authors diagnose the problem of nonresponse not only as an individual-level, survey-specific phenomenon, but as a common pool resource (CPR) problem, and use the United States as a case study to demonstrate the possible scale of response extraction.
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Calibrating non‐probability surveys to estimated control totals using LASSO, with an application to political polling
TL;DR: This work estimates voting preference for 19 elections in the US 2014 midterm elections by using large non‐probability surveys obtained from SurveyMonkey users, calibrated to estimated control totals using model‐assisted calibration combined with adaptive LASSO regression, or the estimated controlled LASSo, ECLASSO.
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Big Data for Finite Population Inference: Applying Quasi-Random Approaches to Naturalistic Driving Data Using Bayesian Additive Regression Trees
TL;DR: This work proposes using an alternative pseudo-weighting approach that allows the use of flexible non-parametric models to fit more flexible modern predictive tools such as Bayesian Additive Regression Trees (BART), which automatically detect non-linear associations as well as high-order interactions.
Moving Survey Methodology Forward in Our Rapidly Changing World: A Commentary
TL;DR: The survey design challenge facing those who wish to do surveys of rural populations includes not only the many challenges faced those who do national surveys, but additional concerns as well as discussed by the authors, such as the need to collect information from samples of people that will provide scientifically defensible estimates of the characteristics of the population they represent.
References
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The Effects of Response Rate Changes on the Index of Consumer Sentiment
TL;DR: Using call-record histories, it is explored what the consequences of lower response rates would have been if these additional efforts had not been undertaken, and whether one of the exclusions generally affected estimates of change over time in the ICS, irrespective of sample size.
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Changes in Telephone Survey Nonresponse over the Past Quarter Century
TL;DR: This article examined the trend in response rates after 1996, when caller identification technology became widespread, and described the roles played by the various sources of SCA nonresponse over time, showing that the response rate decline from 1979 to 1996 was larger than described by Curtin, Presser, and Singer (2000).