Results 31 to 40 of about 47,724 (208)
Nonresponse Rates are a Problematic Indicator of Nonresponse Bias in Survey Research [PDF]
Survey researchers are rightly concerned with measuring the level of potential bias in estimates generated from the surveys.2 Bias in estimates can result from measurement error, processing/editing error, coverage error, and nonresponse error (Federal Committee on Statistical Methodology [FCSM] 2001).
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Unit Nonrespondents in a Taiwan Telephone Survey
Researchers have been perplexed by the issue of unit nonresponse since the beginning of practicing survey research and have been attentive to the causes that lead to the occurrence of unit nonresponse as well as the impact of unit nonresponse.
Kuang-hui Chen
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Background: Obsessive–compulsive disorder (OCD) is a common, chronic debilitating disorder. A detailed neuropsychological assessment at baseline might help us to identify the various neuropsychological predictors for response and nonresponse.
Jasmine Brar +4 more
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Nonresponse follow-up studies are often conducted to understand whether respondents and nonrespondents differ on survey variables of interest in sample surveys.
Kristen Olson +2 more
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Improving Standard Poststratification Techniques For Random-Digit-Dialing Telephone Surveys
Random-digit-dialing surveys in the United States such as the Behavioral Risk Factor Surveillance System (BRFSS) typically poststratify on age, gender and race/ethnicity using control totals from an appropriate source such as the 2000 Census, the Current
Michael P. Battaglia +2 more
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The effect of events between waves on panel attrition
Panel surveys suffer from attrition. Most panel studies use propensity models or weighting class approaches to correct for non-random dropout. These models draw on variables measured in a previous wave or from paradata of the study. While it is plausible
Mark Trappmann +2 more
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Data Quality of Different Modes of Supervision in Classroom Surveys
Conducting quantitative research involving adolescents demands a thoughtful approach to the question of supervision, given that each option comes with its distinct set of implications.
Till Stefes
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Various forms of auxiliary information are being sought to augment survey samples and adjust for possible nonresponse bias in key survey estimates. Auxiliary data options are typically limited in most general population surveys and there are questions ...
Joseph Sakshaug +2 more
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Semiparametric optimal estimation with nonignorable nonresponse data [PDF]
When the response mechanism is believed to be not missing at random (NMAR), a valid analysis requires stronger assumptions on the response mechanism than standard statistical methods would otherwise require.
Kim, Jae Kwang, Morikawa, Kosuke
core
This paper analyses household unit nonresponse and interviewer effects in six major UK government surveys using a multilevel multinomial modelling approach. The models are guided by current conceptual frameworks and theories of survey participation.
Durrant, Gabriele B., Steele, Fiona
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