Results 21 to 30 of about 13,059 (252)
Response Patterns in a Multi-day Diary Survey: Implications for Adaptive Survey Design
Survey Research Methods, 2020 In multi-day diary surveys, respondents make participation decisions every day. Some respondents remain committed throughout, whereas others drop out after the first few days or in the later days of the survey, leading to item nonresponse.
Mengyao Hu +4 more
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Managing missing items in the Fagerström Test for Nicotine Dependence: a simulation study
BMC Medical Research Methodology, 2022 Background The Fagerström Test for Nicotine Dependence (FTND) is frequently used to assess the level of smokers’ nicotine dependence; however, it is unclear how to manage missing items.
Shannon L. Gutenkunst, Melanie L. Bell
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Item-Nonresponse in Mitarbeiterbefragungen
, 2003 'It is often assumed in employee surveys that item nonresponse, just like unit nonresponse, is an indicator of low commitment, low satisfaction, or similar attitudes. Nine large employee surveys using three different modes of data collection are used to study whether item nonresponse behavior correlates systematically with attitudes measured by other ...
Borg, Ingwer, Treder, Christian
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Enhancing participants' response rate in online medical educational surveys
Medical Journal of Babylon, 2021 In the field of medical education, surveys remain one of the most common methods for the planned and conducted educational research. However, the validity of the obtained results depends on the adequate representation of the study population and the ...
Saurabh RamBihariLal Shrivastava +1 more
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A chain regression exponential type imputation method for mean estimation in the presence of missing data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 Imputation methods deal with item nonresponse to solve the missing data problem. A new imputation method and corresponding point estimators for population mean have been proposed under two situations: using the response rate and the constant that gives
Kanisa Chodjuntug, Nuanpan Lawson
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Survey Research Methods, 2015 All social surveys suffer from different types of errors, of which one of the most studied is non-response bias. Non-response bias is a systematic error that occurs because individuals differ in their accessibility and propensity to participate in a ...
Caroline Vandenplas +3 more
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Improving response rate and quality of survey data with a scratch lottery ticket incentive
BMC Medical Research Methodology, 2012 Background The quality of data collected in survey research is usually indicated by the response rate; the representativeness of the sample, and; the rate of completed questions (item-response).
Olsen Frank, Abelsen Birgit, Olsen Jan
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The Relation Between Unit Nonresponse and Item Nonresponse: A Response Continuum Perspective [PDF]
International Journal of Public Opinion Research, 2010 Nonresponse is a significant problem for survey research. The phenomena encompass nonresponse at both the unit and the item level. Unit nonresponse refers to the complete absence of an interview from a sampled household whereas item nonresponse refers to the absence of answers to specific questions in the interview after the sampled household agrees to
T. Yan, R. Curtin
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Performance of Missing Data Approaches Under Nonignorable Missing Data Conditions
Methodology, 2020 Approaches for dealing with item omission include incorrect scoring, ignoring missing values, and approaches for nonignorable missing values and have only been evaluated for certain forms of nonignorability.
Steffi Pohl, Benjamin Becker
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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 +3 more
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