Results 11 to 20 of about 5,779,443 (305)

Propensity to obesity impacts the neuronal response to energy imbalance [PDF]

open access: yesFrontiers in Behavioral Neuroscience, 2015
The mechanisms responsible for the propensity to gain weight or remain normal weight are poorly understood. The objective of this study was to study the neuronal response to visual food cues during short-term energy imbalance in healthy adults recruited
Marc-Andre eCornier   +11 more
doaj   +3 more sources

Validity of Survey Response Propensity Indicators: A Behavior Genetics Approach [PDF]

open access: yesSocial Science Quarterly, 2012
ObjectivesThis study explains how behavior genetic analysis using a twin design can help us assess the validity of our measures.MethodsWe test multiple indicators of response propensity, a measure used by survey researchers to better understand the similarities and differences between survey respondents and nonrespondents.
Littvay L, Popa SA, Fazekas Z
openaire   +6 more sources

Estimation of Response Propensities and Indicators of Representative Response Using Population-Level Information [PDF]

open access: yesSurvey Methodology, 2019
In recent years, there has been a strong interest in indirect measures of nonresponse bias in surveys or other forms of data collection. This interest originates from gradually decreasing propensities to respond to surveys parallel to pressures on survey budgets.
Bianchi, A.   +4 more
openaire   +6 more sources

JOINT RESPONSE PROPENSITY AND CALIBRATION METHOD [PDF]

open access: yesStatistics in Transition New Series, 2018
Abstract This paper examines the chain of weights, beginning with the basic sampling weights for the respondents. These were then converted to reweights to reduce the bias due to missing quantities. If micro auxiliary variables are available for a gross sample, we suggest taking advantage first of the response propensity weights, and ...
Laaksonen, Seppo, Hämäläinen, Auli
openaire   +2 more sources

Using Response Propensity Models to Improve the Quality of Response Data in Longitudinal Studies [PDF]

open access: yesJournal of Official Statistics, 2017
Abstract We review two approaches for improving the response in longitudinal (birth cohort) studies based on response propensity models: strategies for sample maintenance in longitudinal studies and improving the representativeness of the respondents over time through interventions. Based on estimated response propensities, we examine
Plewis, Ian, Shlomo, Natalie
openaire   +3 more sources

The EEG Oscillations and Psychology Propensities of Autonomous Sensory Meridian Response

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Autonomous sensory meridian response is believed as a perceptual phenomenon to specific sensory stimuli. To explore the underlying mechanism and emotional effect, the EEG under video and audio triggers of autonomous sensory meridian response was analyzed.
Zhongliang Yu   +6 more
openaire   +3 more sources

Reduction of Nonresponse Bias through Case Prioritization

open access: yesSurvey Research Methods, 2010
How response rates are increased can determine the remaining nonresponse bias in estimates. Studies often target sample members that are most likely to be interviewed to maximize response rates.
Andy Peytchev   +4 more
doaj   +1 more source

The role of the propensity score in estimating dose-response functions [PDF]

open access: yesBiometrika, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Does response propensity bias stress audits? [PDF]

open access: yesOccupational Medicine, 2016
Non-response bias in surveys occurs when non-respondents differ from respondents. Methods of dealing with this include measuring 'response propensity'. We propose that response propensity has a trait-like component, measurable within the survey. Covariance of this component with survey items could indicate non-response bias.To measure and validate ...
R S, Bridger   +3 more
openaire   +2 more sources

Propensity score-based diagnostics for categorical response regression models [PDF]

open access: yesStatistics in Medicine, 2013
For binary or categorical response models, most goodness-of-fit statistics are based on the notion of partitioning the subjects into groups or regions and comparing the observed and predicted responses in these regions by a suitable chi-squared distribution.
Boonstra, Philip S.   +4 more
openaire   +4 more sources

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