Working With Archival Data: Studying LivesThe number of longitudinal data archives is growing almost daily, yet no resource exists to help understand the relationship between research questions and archival data--until now. Drawing on a single project, the Lewis Terman Study at Stanford University, the authors illustrate how to use the model-fitting process to select and fit the right data set to a particular research problem. Employing a step-by-step approach, this handy volume covers the measurement of historical influences, the adaptation of existing coding schemes to temporal patterns that are characteristic of life records, and the recasting of archival materials to illuminate contemporary questions that the data were not designed to answer. |
Contents
1 | |
5 | |
3 Recasting the Archive | 23 |
4 From Retirement to LateLife Careers | 49 |
5 Measuring Historical Influences | 64 |
Appendix | 83 |
References | 84 |
About the Authors | 88 |
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Common terms and phrases
agreement analysis analysis of variance archival data birth cohorts career Chapter codebook coders coding form coding operation coding scheme concept constant good health constant poor 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 illness impairment investigator kappa Kappa Statistic labor force later Lewis Terman 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 variable W. I. Thomas wartime experience work-life World World War II