Methodological Issues Of Longitudinal Surveys: The Example Of The National Educational Panel Study by Hans-peter BlossfeldMethodological Issues Of Longitudinal Surveys: The Example Of The National Educational Panel Study by Hans-peter Blossfeld

Methodological Issues Of Longitudinal Surveys: The Example Of The National Educational Panel Study

byHans-peter BlossfeldEditorJutta Von Maurice, Michael Bayer

Paperback | April 11, 2016

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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.
Hans-Peter Blossfeld  is on leave from his Chair in Sociology at Bamberg University since 2012 and holds a Chair in Sociology at the European University Institute in Florence.   Jutta von Maurice   is the executive director of research of the Leibniz Institute for Educational Trajectories at the University of Bamberg.Michael Bayer  is ...
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Title:Methodological Issues Of Longitudinal Surveys: The Example Of The National Educational Panel StudyFormat:PaperbackDimensions:741 pages, 24 × 16.8 × 0.17 inPublished:April 11, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3658119926

ISBN - 13:9783658119928

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Table of Contents

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.