Working with Archival Data - Elder, Glen H. Jr.
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Avis sur Working With Archival Data Format Broché - Livre Science humaines et sociales, Lettres
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Présentation Working With Archival Data Format Broché
- Livre Science humaines et sociales, Lettres
Résumé :
Although the growth of longitudinal data archives is one of the most dramatic developments in the behavioural sciences, there has been a barrier to the effective use of these files due to a lack of understanding of the relation between research questions and archival data - until now. The authors of this volume illustrate how to use the model-fitting process to select and fit the right data set to a particular research problem. Beginning with an introduction to the general issues in working with archival data, the book takes the reader through steps in the recasting of data and question, using substantive examples from the life course, such as temporal patterns of physical and emotional health as well as pathways to retirement.
Biographie:
Glen H. Elder, Jr. is Research Professor of Sociology and Psychology at the University of North Carolina at Chapel Hill and manages a research program on life course studies. He has also served on the faculties of the University of California (Berkeley) and Cornell University. A member of the American Academy of Arts and Sciences, Elder has served as Vice-President of the American Sociological Association (1989), and as President of the Sociological Research Association (1999) and of the Society for Research on Child Development (1995-97). His books (authored, co-authored, edited) include Children of the Great Depression (1974; 1999, expanded edition), Life Course Dynamics (1985), Children in Time and Place (1993), Families in Troubled Times (1994), Examining Lives in Context (1995), Developmental Science (1996), Methods of Life Course Research (1998), and Children of the Land: Adversity and Success in Rural America (2000: William J. Goode Award).
Sommaire:
Introduction
Working with Archival Data
Recasting the Archive
From Retirement to Late-Life Careers
Measuring Historical Influences