Item Nonresponse in Face-to-Face Interviews with Children [PDF]
Journal of Official Statistics, 2014 Abstract This study examined item nonresponse and its respondent and interviewer correlates by means of a population-based, panel survey of children aged 8 to 11 who were surveyed using standardised, face-to-face interviews. Using multilevel, logistic analyses with cross-level interactions, this article aims to examine which effects ...
Haunberger, Sigrid, Sigrid Haunberger
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Power, Culture and Item Nonresponse in Social Surveys [PDF]
, 2020 This chapter investigates a set of hypotheses linking dimensions of social status, power, diversity and culture to survey item nonresponse. Cross-national data drawn from 35 countries and 48,720 respondents who participated in the 2016 International Social Survey Programme (ISSP) are examined, along with a series of relevant country-level indicators ...
Meitinger, K.M. +2 more
core +7 more sources
Exploring the Impact of Online Mental Health Resources During the COVID-19 Pandemic on Lesbian, Gay, Bisexual, Transgender, Queer, and Questioning Adults Compared to Heterosexual Adults: Pretest-Posttest Survey Analyses [PDF]
JMIR Formative ResearchBackgroundLesbian, gay, bisexual, transgender, queer, and questioning (LGBTQ+) individuals faced greater mental health challenges during the COVID-19 pandemic than binary-gender heterosexual (non-LGBTQ+) adults.
Natalia Ramos +7 more
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Item nonresponse in questionnaire research with children
Journal of Official Statistics, 2001 This study investigates the effect of item and person characteristics on item nonresponse, for written questionnaires used with school children. Secondary analyses were done on questionnaire data collected in five distinct studies. To analyze the data, logistic multilevel analysis was used with the items at the lowest and the children at the highest ...
Hox, J.J., Borgers, N.
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Bounds on Quantiles in the Presence of Full and Partial Item Nonresponse [PDF]
, 1999 Microeconomic surveys are usually subject to the problem of item nonresponse, typically associated with variables like income and wealth, where confidentiality and/or lack of accurate information can affect the response behavior of the individual. Follow up categorical questions can reduce item nonresponse and provide additional partial information on ...
Vazquez-Alvarez, R. +2 more
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Nonparametric Bounds in the Presence of Item Nonresponse, Unfolding Brackets and Anchoring [PDF]
, 2001 Household surveys often suffer from nonresponse on variables such as income, savings or wealth.Recent work by Manski shows how bounds on conditional quantiles of the variable of interest can be derived, allowing for any type of nonrandom item nonresponse.The width between these bounds can be reduced using follow up questions in the form of unfolding ...
Vazquez-Alvarez, Rosalia +2 more
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Development of a food security assessment tool for prenatal care in pregnant women: a mixed-method study [PDF]
Reproductive HealthBackground Women have more complex nutritional needs due to menstrual cycles, pregnancy, and breastfeeding. They are the most vulnerable group in terms of household food insecurity.
Maryam Bagheri +5 more
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The Performance of Multiple Imputation in Social Surveys with Missing Data from Planned Missingness and Item Nonresponse [PDF]
Survey Research MethodsDesigns using planned missingness, such as the split questionnaire design, are becoming more and more important in social survey research. To ensure an acceptable questionnaire length, these approaches typically entail large amounts of planned missing ...
Julian B. Axenfeld +3 more
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Item nonresponse on the Myeloproliferative Neoplasms Symptom Assessment Form (MPN-SAF): a comparison of missing data strategies [PDF]
Leukemia and Lymphoma, 2019 Gina L Mazza +2 more
exaly +2 more sources
The process of item nonresponse in a questionnaire survey and its individual differences
Journal of Human Environmental Studies, 2021 The relationship between the occurrence of item nonresponse and individual characteristics in questionnaire surveys can cause bias in parameter estimation.
Daisuke Shimada, Kentaro Katahira
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