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Author: Johane Dufour Publisher: ISBN: Category : Labor supply Languages : en Pages : 64
Book Description
To ensure and monitor the quality of the Labour Force (LFS) data, an intensive data quality program has been developped over the years for this survey. This document concentrates first on the quality indicators produced regularly for the LFS to measure and monitor survey data quality. Then, there is a brief description of the tools at the disposal of the LFS data users to determine the size of sampling errors and of nonsampling errors. The various committees set up within the LFS to coordinate all the activities of this survey and oversee its operations are subsequently discussed. To follow, an overview of the LFS programs in place to ensure the quality of data released by this survey is presented. Finally, certain LFS research programs to ensure survey data quality are discussed.
Author: Johane Dufour Publisher: ISBN: Category : Labor supply Languages : en Pages : 64
Book Description
To ensure and monitor the quality of the Labour Force (LFS) data, an intensive data quality program has been developped over the years for this survey. This document concentrates first on the quality indicators produced regularly for the LFS to measure and monitor survey data quality. Then, there is a brief description of the tools at the disposal of the LFS data users to determine the size of sampling errors and of nonsampling errors. The various committees set up within the LFS to coordinate all the activities of this survey and oversee its operations are subsequently discussed. To follow, an overview of the LFS programs in place to ensure the quality of data released by this survey is presented. Finally, certain LFS research programs to ensure survey data quality are discussed.
Author: Publisher: ISBN: Category : Labor supply Languages : en Pages : 33
Book Description
The new Guide to the Labour Force Survey contains a dictionary of concepts and definitions, and covers subjects such as survey methodology, data collection, data processing, data quality, and information on products and services. The new LFS Questionnaire accompanies the guide.
Author: Paul P. Biemer Publisher: John Wiley & Sons ISBN: 0471458724 Category : Mathematics Languages : en Pages : 420
Book Description
Peruse the history of survey research and the essential conceptsfor data quality. With an emphasis on total survey error, theauthors review principles and concepts in the field and examineimportant unresolved issues in survey methods. Spanning a range oftopics dealing with the quality of data collected through thesurvey process, they focus on such key issues as: * Major sources of survey error, examining the origins of eacherror source most successful methods for reducing errors from thosesources * Methods most often used in practice for evaluating the effectsof the source on total survey error * Implications of improving survey quality for organizationalmanagement and costs
Author: Statistics Canada Publisher: ISBN: Category : Electronic documents Languages : en Pages :
Book Description
The Guide to the Labour Force Survey contains a dictionary of concepts and definitions and covers topics such as survey methodology, data collection, data processing and data quality. It also contains information on products and services, sub-provincial geography descriptions as well as the survey questionnaire.
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 0309465370 Category : Social Science Languages : en Pages : 195
Book Description
The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.
Author: Concha Artola Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
This paper evaluates the appropriateness of the standard methodologies and the quality of the data frequently used to analyse labour market dynamics in Europe. Our results indicate that, due to recall error and heterogeneous survey design, the retrospective approach tends to result in a considerable number of spurious transitions being recorded. Whilst the use of quasi-longitudinal data should overcome such problems, sample attrition and more importantly, misclassification error, is shown to result in significant over-reporting of transitions. Studies which failure to allow for the error structure of the underlying data are therefore, likely to be subject to considerable bias.
Author: Johane Dufour
Author: Johane Dufour
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Author: Vera Ruddock
Author: Paul P. Biemer
Author: Statistics Canada
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Author: National Academies of Sciences, Engineering, and Medicine
Author: Concha Artola