Results 1 to 10 of about 4,247,563 (222)

Nonprobability Web Surveys to Measure Sexual Behaviors and Attitudes in the General Population: A Comparison With a Probability Sample Interview Survey [PDF]

open access: yesJournal of Medical Internet Research, 2014
BackgroundNonprobability Web surveys using volunteer panels can provide a relatively cheap and quick alternative to traditional health and epidemiological surveys.
Erens, Bob   +14 more
doaj   +5 more sources

Comparing Probability-Based Surveys and Nonprobability Online Panel Surveys in Australia: A Total Survey Error Perspective

open access: yesSurvey Research Methods, 2022
In this paper we report the findings from our study which was undertaken to learn if the findings of Chang et al. (2009), Yeager et al. (2011), Erens et al. (2014), MacInnis et al. (2018) and Cornesse et al. (2020) would be replicated in Australia.
Paul John Lavrakas   +3 more
doaj   +2 more sources

A two-step approach to simultaneously correct for selection and misclassification bias in nonprobability samples from hard-to-reach populations. [PDF]

open access: yesAm J Epidemiol
Researchers studying hard-to-reach or minority populations are increasingly implementing nonprobability sampling strategies that are often prone to selection bias.
Dharma C   +6 more
europepmc   +2 more sources

Evaluating the accuracy of survey data: a case study of COVID-19 vaccination rates in Germany [PDF]

open access: yesBMC Medical Research Methodology
Background Surveys are an important source of timely and comprehensive population health data and play a crucial role in public health research and policymaking, as shown during the COVID-19 pandemic.
Karolina von Glasenapp
doaj   +2 more sources

Inference from Non-Probability Surveys with Statistical Matching and Propensity Score Adjustment Using Modern Prediction Techniques

open access: yesMathematics, 2020
Online surveys are increasingly common in social and health studies, as they provide fast and inexpensive results in comparison to traditional ones. However, these surveys often work with biased samples, as the data collection is often non-probabilistic ...
Luis Castro-Martín   +2 more
doaj   +2 more sources

Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys.

open access: yesPLoS ONE, 2020
Modern survey methods may be subject to non-observable bias, from various sources. Among online surveys, for example, selection bias is prevalent, due to the sampling mechanism commonly used, whereby participants self-select from a subgroup whose ...
Ramón Ferri-García   +1 more
doaj   +2 more sources

Estimating General Parameters from Non-Probability Surveys Using Propensity Score Adjustment

open access: yesMathematics, 2020
This study introduces a general framework on inference for a general parameter using nonprobability survey data when a probability sample with auxiliary variables, common to both samples, is available.
Luis Castro-Martín   +2 more
doaj   +2 more sources

Can Nonprobability Samples be Used for Social Science Research? A cautionary tale

open access: yesSurvey Research Methods, 2019
Survey researchers and social scientists are trying to understand the appropriate use of nonprobability samples as substitutes for probability samples in social science research.
Elizabeth S. Zack   +2 more
doaj   +2 more sources

Attitudes of Nurses and Physicians Towards Nurse-Physician Interprofessional Collaboration in a Tertiary Hospital in Somalia: Cross-Sectional Study [PDF]

open access: yesJournal of Multidisciplinary Healthcare
Iftin Mohamed Osman,1 Fartun Ahmed Mohamud,1 Fartun Mohamed Hilowle,1 Said Mohamud Sahal Snr,2 Iman Ilyas Hassan,3 Rahma Yusuf Haji Mohamud,3 Tigad Abdisad Ali,4 Asha Abdullahi Barud5 1Department of Education at Mogadishu Somali Turkey Recep Tayyip ...
Osman IM   +7 more
doaj   +2 more sources

On the Use of Gradient Boosting Methods to Improve the Estimation with Data Obtained with Self-Selection Procedures

open access: yesMathematics, 2021
In the last years, web surveys have established themselves as one of the main methods in empirical research. However, the effect of coverage and selection bias in such surveys has undercut their utility for statistical inference in finite populations. To
Luis Castro-Martín   +3 more
doaj   +1 more source

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