Working With Archival Data: Studying Lives, Issue 88
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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Working With Archival Data
Recasting the Archive
Measuring Historical Influences
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agreement analysis analysis of variance archival data birth cohorts career Chapter codebook coders coding form coding operation coding scheme concept constant good health course data collection data sets decline defined emotional health employment energy and vitality evaluate Figure files follow-up full-time Guidance Study health codes health example health trajectories historical influences histories home-front mobilization impairment investigator kappa Kappa Statistic labor force later Lewis Terman life-course revolution life-record data longitudinal studies major measures Michigan Panel military service National Longitudinal Surveys Oakland Growth Study occupation overall patterns percentage physical and emotional physical health problem questions and data Radcliffe College records relevant reliability research questions retirement self-reports social step study members summary sheets surgery survey wave Terman archive Terman data Terman men Terman sample Terman Study tion transitions University variable W. I. Thomas wartime experience work-life World World War II