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.
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