Methodological Issues of Longitudinal Surveys
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Methodological Issues of Longitudinal Surveys

The Example of the National Educational Panel Study
 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9783658119942
Veröffentl:
2016
Einband:
eBook
Seiten:
741
Autor:
Hans-Peter Blossfeld
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

This book addresses a broad array of pressing challenges of longitudinal surveys and provides innovative solutions to methodological problems based on the example of the NEPS. It covers longitudinal issues such as sampling, weighting, recruiting and fieldwork management, the design of longitudinal surveys and the implementation of constructs, conducting competence tests over the life course, effective methods to improve and to maintain the highest level of data quality, data management tools for large-scale longitudinal surveys, the dissemination of research data to heterogeneous scientific communities, as well as establishing a long-term public relations and communications unit integrating a study's stakeholder community over time.
This book addresses a broad array of pressing challenges of longitudinal surveys and provides innovative solutions to methodological problems based on the example of the NEPS. It covers longitudinal issues such as sampling, weighting, recruiting and fieldwork management, the design of longitudinal surveys and the implementation of constructs, conducting competence tests over the life course, effective methods to improve and to maintain the highest level of data quality, data management tools for large-scale longitudinal surveys, the dissemination of research data to heterogeneous scientific communities, as well as establishing a long-term public relations and communications unit integrating a study’s stakeholder community over time.
Sampling, Recruiting and Fieldwork Management.- Longitudinal Measurement of Educational Processes: Surveys and Constructs.- Longitudinal Measurement of Skills: Competence Testing.- Assessing Data Quality.- Data Management, Coding, Dissemination and User Support.

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