Results 141 to 150 of about 22,854 (294)
The Effectiveness of Incentives on Completion Rates, Data Quality, and Nonresponse Bias in a Probability-based Internet Panel Survey. [PDF]
Stanley M +4 more
europepmc +1 more source
Nonresponse Bias (Version 2.0)
Nonresponse is a source of error in surveys. In this contribution, the concept of nonresponse bias is explained and the connection between response rate and nonresponse bias is discussed. Moreover, different methods of determining nonresponse bias are presented and ways in which the problem of nonresponse bias can be tackled during data collection are ...
Koch, Achim, Blohm, Michael
openaire +1 more source
Paradata – data about the process of survey production – have drawn increasing attention as the statistical world moves towards the implementation of quality metrics and measures to improve quality and save costs.
Frauke Kreuter, Carolina Casas-Cordero
core
Exploring nonresponse bias in a health survey using neighborhood characteristics. [PDF]
OBJECTIVES: We examined potential nonresponse bias in a large-scale, population-based, random-digit-dialed telephone survey in California and its association with the response rate.
Belin, Thomas R +4 more
core
Abstract Paramedics are frequently exposed to trauma and may be at elevated risk of posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD). This review aimed to map PTSD prevalence among paramedics, identify risk and protective factors, and scope existing literature on CPTSD in paramedics.
Brogan Johnston +4 more
wiley +1 more source
Abstract Adverse and benevolent childhood experiences (ACEs and BCEs, respectively) are uniquely associated with posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD); however, there is no systematic review on the mechanisms of these associations.
Sarah Louise Guthrie +4 more
wiley +1 more source
Abstract Growing evidence supports the efficacy of various psychosocial interventions yet provides very little information about the potential harms and burdens of treatment. Lacking such information makes it difficult to make truly informed decisions about treatment options.
Raquel W. Halfond +2 more
wiley +1 more source
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source
Verification of Citations: Fawlty Towers of Knowledge?
The prevalence of faulty citations impedes the growth of scientific knowledge. Faulty citations include omissions of relevant papers, incorrect references, and quotation errors that misreport findings. We discuss key studies in these areas.
Armstrong, J. Scott, Wright, Malcolm
core
An Empirical Test of Nonresponse Bias in Internet Surveys
In surveys, nonresponse is considered a source of possible bias, which increases with the size of the nonresponding group. Nonresponse bias was investigated in 3 samples of offending drivers who were required to respond to an online questionnaire before ...
af Wahlberg, A. E., Poom, Leo,
core +1 more source

