Results 91 to 100 of about 22,854 (294)
Estimating a Finite Population Mean Using Transformed Data in Presence of Random Nonresponse
International Journal of Mathematics and Mathematical Sciences, 2020 Developing finite population estimators of parameters such as mean, variance, and asymptotic mean squared error has been one of the core objectives of sample survey theory and practice.
Nelson Kiprono Bii +2 more
doaj +1 more source
Estimation of an indicator of the representativeness of survey response
, 2009 Nonresponse is a major source of estimation error in sample surveys. The response rate is widely used to measure the quality of a sample survey associated with nonresponse.
Shlomo, Natalie +2 more
core
, 2015 The purpose of this study was to investigate the prevalence of item nonresponse bias among participants in the FSSE survey and its impact on the estimates of ten FSSE scale scores, by comparing item nonresponse patterns across faculty-level ...
BrckaLorenz, Allison, Chiang, Yi-Chen
core
Business Strategy and the Environment, EarlyView.ABSTRACT Existing literature indicates that transformational leadership in supply chains is critical to sustainability; however, little is known about how this leadership influences sustainability. The empirical literature has provided minimal focused analysis of transformational supply chain leadership and its effects on sustainability performance ...
Ishmael Nanaba Acquah +2 more
wiley +1 more source
GDP & Beyond – die europäische Perspektive [PDF]
Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20% in the annual March survey. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on attributes not matched in the ...
Christopher R. Bollinger +1 more
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Agentic AI and Circular Procurement Performance: An Empirical Study
Business Strategy and the Environment, EarlyView.ABSTRACT Organizations that practice circular procurement in this rapidly changing world face many uncertainties. However, emerging digital technologies, such as agentic AI, can help manage resources and improve responsiveness to better serve both internal and external customers.
Surajit Bag +3 more
wiley +1 more source
Responsive Survey Designs for Reducing Nonresponse Bias
, 2017 Survey researchers have been investigating alternative approaches to reduce data collection costs while mitigating the risk of nonresponse bias or to produce more accurate estimates within the same budget. Responsive or adaptive design has been suggested
Roger Tourangeau, J. Michael Brick
core +1 more source
Criminal Behaviour and Mental Health, EarlyView.ABSTRACT Background Depression, anxiety and criminal behaviour are often correlated, but the direction and nature of these associations remain contested. Aims To investigate the temporal relationships between depression and/or anxiety and criminal behaviour at age 32 and depression and/or anxiety and criminal behaviour at age 48.
Kim Reising, Maria M. Ttofi
wiley +1 more source
Methoden, Daten, Analysen, 2014 Nonresponse is of concern for the quality of survey data, because it may introduce bias into the collected sample. To date, only few studies deal with nonresponse in skills or educational surveys.
Susanne Helmschrott, Silke Martin
doaj +1 more source
Design-Based Treatment of Unit Nonresponse by the Calibration Approach [PDF]
The use of nonresponse calibration weighting is considered in a complete design-based frameworkto account for the cases in which nonresponse is a fixed characteristic of the units, just like the interest variable.
Sara Franceschi +2 more
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