Results 31 to 40 of about 4,247,563 (222)
Online Surveys in Latin America
PS: Political Science & Politics, 2023 Online surveys of public opinion are less expensive and faster to administer than other surveys. However, nonprobability online samples diverge from the gold standard of probabilistic sampling.
Oscar Castorena +3 more
semanticscholar +1 more source
Blending Probability and Nonprobability Samples with Applications to a Survey of Military Caregivers [PDF]
Journal of Survey Statistics and Methodology, 2020 AbstractProbability samples are the preferred method for providing inferences that are generalizable to a larger population. However, in many cases, this approach is unlikely to yield a sample size large enough to produce precise inferences. Our goal here is to improve the efficiency of inferences from a probability sample by combining (or blending) it
Michael W Robbins +2 more
openaire +1 more source
Is there an association between survey characteristics and representativeness? A meta-analysis
Survey Research Methods, 2018 How to achieve survey representativeness is a controversially debated issue in the field of survey methodology. Common questions include whether probability-based samples produce more representative data than nonprobability samples, whether the response ...
Carina Cornesse, Michael Bosnjak
doaj +1 more source
Humanities & Social Sciences Communications, 2020 This research review synthesized the evidence on the prevalence of posttraumatic stress disorder among emergency department personnel in Canada and the USA.
Diane I. N. Trudgill +2 more
doaj +1 more source
JMIR Research Protocols, 2023 BackgroundEcological momentary assessments (EMAs) and digital wearables (DW) are commonly used remote monitoring technologies that capture real-time data in people’s natural environments.
Sherine El-Toukhy +3 more
doaj +1 more source
Doubly Robust Inference With Nonprobability Survey Samples [PDF]
Journal of the American Statistical Association, 2019 We establish a general framework for statistical inferences with non-probability survey samples when relevant auxiliary information is available from a probability survey sample. We develop a rigorous procedure for estimating the propensity scores for units in the non-probability sample, and construct doubly robust estimators for the finite population ...
Chen, Yilin, Li, Pengfei, Wu, Changbao
openaire +2 more sources
Pseudo empirical likelihood inference for nonprobability survey samples
Canadian Journal of Statistics, 2022 AbstractIn this article, we first provide an overview of two major developments on complex survey data analysis: the empirical likelihood methods and statistical inference with nonprobability survey samples. We highlight the important research contributions to the field of survey sampling in general and the two topics in particular by Canadian survey ...
Yilin Chen +3 more
openaire +2 more sources
Introduction to the design and analysis of complex survey data [PDF]
, 2017 We give a brief overview of common sampling designs used in a survey setting, and introduce the principal inferential paradigms under which data from complex surveys may be analyzed.
Skinner, Chris J., Wakefield, Jon
core +1 more source
Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples [PDF]
Survey Practice, 2013 A question in recent times has been the quality of surveys using nonprobability samples. This paper approaches measurement accuracy by reconceptualizing representativeness. This approach can be used for all samples, probability or not. Current survey designs aim for representative samples with the implicit assumptions that representativeness belongs to
openaire +1 more source
Comparing and Improving the Accuracy of Nonprobability Samples: Profiling Australian Surveys
, 2023 There has been a great deal of debate in the survey research community about the accuracy of nonprobability sample surveys. This work aims to provide empirical evidence about the accuracy of nonprobability samples and to investigate the performance of a range of post-survey adjustment approaches (calibration or matching methods) to reduce bias, and ...
Kocar, Sebastian, Baffour, Bernard
openaire +2 more sources