Validity and reliability of a questionnaire on the knowledge, attitudes, perceptions and practices toward food poisoning among Malaysian secondary school students: a …
Children in school settings are at risk of contracting food poisoning due to inadequate food
safety practices and safe eating behaviors. This research aimed to develop a valid and …
safety practices and safe eating behaviors. This research aimed to develop a valid and …
An experimental evaluation of a stopping rule aimed at maximizing cost-quality trade-offs in surveys
Surveys face difficult choices in managing cost-error trade-offs. Stopping rules for surveys
have been proposed as a method for managing these trade-offs. A stopping rule will limit …
have been proposed as a method for managing these trade-offs. A stopping rule will limit …
Deriving Priors for Bayesian Prediction of Daily Response Propensity in Responsive Survey Design: Historical Data Analysis versus Literature Review
Responsive survey design (RSD) aims to increase the efficiency of survey data collection via
live monitoring of paradata and the introduction of protocol changes when survey errors and …
live monitoring of paradata and the introduction of protocol changes when survey errors and …
Responsive and Adaptive Designs in Repeated Cross-National Surveys: A Simulation Study
H Einarsson, A Cernat, N Shlomo - Journal of Survey Statistics …, 2024 - academic.oup.com
Cross-national surveys run the risk of differential survey errors, where data collected vary in
quality from country to country. Responsive and adaptive survey designs (RASDs) have …
quality from country to country. Responsive and adaptive survey designs (RASDs) have …
Benefits of Adaptive Design Under Suboptimal Scenarios: A Simulation Study
S Zhang - Journal of Survey Statistics and Methodology, 2022 - academic.oup.com
Theories have suggested that adaptive survey designs may reduce biases and variances of
survey estimates more so than post-survey adjustment. However, previous research has not …
survey estimates more so than post-survey adjustment. However, previous research has not …
Using a Stopping Rule to Optimize Cost-Quality Tradeoffs in a Large, Mixed-Mode Survey: A Simulation Study
Rising nonresponse and the increasing costs of conducting surveys are creating pressure
on survey organizations to efficiently allocate resources. The challenge is to produce the …
on survey organizations to efficiently allocate resources. The challenge is to produce the …
An assessment of the utility of a Bayesian framework to improve response propensity modes in longitudinal data
E Kibuchi, GB Durrant, O Maslovskaya… - Survey Research …, 2024 - eprints.lse.ac.uk
Response propensity (RP) models are widely used in survey research to analyse response
processes. One application is to predict sample members who are likely to be survey …
processes. One application is to predict sample members who are likely to be survey …
Validity and Reliability of Balanced Nutrition Knowledge and Eating Behavior Questionnaires among Adolescent Girls
AA Damayanti, YLR Dewi - … Journal Of Medical Science And Clinical …, 2023 - ijmscr.org
Background: Assessing balanced nutrition knowledge and eating behavior among
adolescent girls is important because they affect health and nutritional status, thus it needs …
adolescent girls is important because they affect health and nutritional status, thus it needs …
Data Collection Expert Prior Elicitation in Survey Design: Two Case Studies
S Wu, B Schouten, R Meijers… - Journal of Official …, 2022 - journals.sagepub.com
Data collection staff involved in sampling designs, monitoring and analysis of surveys often
have a good sense of the response rate that can be expected in a survey, even when this …
have a good sense of the response rate that can be expected in a survey, even when this …
Bayesian methods for prediction of survey data collection parameters in adaptive and responsive designs
SM Coffey - 2020 - search.proquest.com
Adaptive and responsive survey designs rely on estimates of survey data collection
parameters (SDCPs), such as response propensity, to make intervention decisions during …
parameters (SDCPs), such as response propensity, to make intervention decisions during …