Results 11 to 20 of about 10,025 (248)

Unit Nonresponse in a Population-Based Study of Prostate Cancer. [PDF]

PLoS ONE, 2016
Low unit response rates can increase bias and compromise study validity. Response rates have continued to fall over the past decade despite all efforts to increase participation.
Evrim Oral, Neal Simonsen, Christine Brennan, Jennifer Berken, L Joseph Su, James L Mohler, Jeannette T Bensen, Elizabeth T H Fontham   +7 more
doaj   +5 more sources

Determinants of unit nonresponse in multi-mode data collection: A multilevel analysis. [PDF]

PLoS ONE, 2019
BackgroundMulti-mode data collection is widely used in surveys. Since several modes of data collection are successively applied in such design (e.g. self-administered questionnaire after face-to-face interview), partial nonresponse occurs if participants
Finaba Berete, Johan Van der Heyden, Stefaan Demarest, Rana Charafeddine, Lydia Gisle, Elise Braekman, Jean Tafforeau, Geert Molenberghs   +7 more
doaj   +6 more sources

Privacy Concerns in Responses to Sensitive Questions. A Survey Experiment on the Influence of Numeric Codes on Unit Nonresponse, Item Nonresponse, and Misreporting

Methoden, Daten, Analysen, 2016
Paper-and-pencil surveys are a widely used method for gaining data. Numeric codes printed on the questionnaire are often a prerequisite for the use of scan software, which, in turn, permits a fast and efficient entering of the data from such surveys ...
Felix Bader, Johannes Bauer, Martin Kroher, Partick Riordan   +3 more
doaj   +4 more sources

Unit nonresponse biases in estimates of SARS-CoV-2 prevalence

Survey Research Methods, 2020
Since COVID-19 became a pandemic, many studies are being conducted to get a better understanding of the disease itself and its spread. One crucial indicator is the prevalence of SARS-CoV-2 infections.
Julia Post, Fabian Class, Ulrich Kohler
doaj   +2 more sources

National Experimental Wellbeing Statistics (NEWS) [PDF]

International Journal of Population Data Science
The NEWS project is improving and expanding estimates of income, poverty, and other measures of economic wellbeing by linking survey, administrative, and commercial data.
Jonathan Rothbaum
doaj   +2 more sources

Surveys from inside: An assessment of unit nonresponse bias with internal criteria

Survey Research Methods, 2007
The article uses the so called “internal criteria of representativeness” to assess the unit nonresponse bias in five European comparative survey projects.
Ulrich Kohler
doaj   +3 more sources

Imputing longitudinal PROM data at the item and score level in clinical trials [PDF]

BMC Medical Research Methodology
Background Missing data in patient-reported outcome measures (PROMs) can affect estimation accuracy and inferential validity, particularly under missing-at-random (MAR) mechanisms.
Carlo A.G. Veltri, Ulrike Grittner, Pimrapat Gebert   +2 more
doaj   +2 more sources

Generalized Reliability Coefficients for Complex Surveys with Unit Nonresponse

Mathematics
Regarding the reliability that explains a construct formed by a weighted sum of multiple variables, this study employs a nonmodel-based approach independent of factor models.
Hyeonah Park, Seongryong Na
doaj   +2 more sources

Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse. [PDF]

J R Stat Soc Ser A Stat Soc, 2021
AbstractOften, government agencies and survey organizations know the population counts or percentages for some of the variables in a survey. These may be available from auxiliary sources, for example administrative databases or other high-quality surveys.
Akande O, Madson G, Hillygus DS, Reiter JP.   +3 more
europepmc   +6 more sources

An Evaluation of the quality of interviewer and virtual observations and their value for nonresponse bias reduction

Survey Research Methods, 2022
With the decline of survey response rates over the past decade, survey researchers need to gather useful auxiliary variables for all sampled units and reduce nonresponse bias through adaptive design or nonresponse weighting adjustments.
Weijia Ren, Tom Krenzke, Brady West, David Cantor   +3 more
doaj   +1 more source