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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: 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: Concha Artola
Author: Sul-Hee Kim