Full Citation

Title: Defining and Distributing Longitudinal Historical Data in a General Way Through an Intermediate Structure

Citation Type: Journal Article

Publication Year: 2009

ISBN:

ISSN:

DOI:

NSFID:

PMCID:

PMID:

Abstract: Abstract: Konzept einer intermediren Datenstruktur (IDS) zur Integrationnational unterschiedlicher Datenbanken. In recent years, studies of historicalpopulations have shifted from tracing large-scale processes to analyzing longitudinalmicro data in the form of life histories. This approach expands thescope of social history by integrating data on a range of life course events. Thecomplexity of life-course analysis, however, has limited most researchers toworking with one specific database. We discuss methodological problemsraised by longitudinal historical data and the challenge of converting life historiesinto rectangular datasets compatible with statistical analysis systems. Thelogical next step is comparing life courses across local and national databases,and we propose a strategy for sharing historical longitudinal data based on anintermediate data structure (IDS) that can be adopted by all databases. We describethe benefits of the IDS approach and activities that will advance thegoals of simplifying and promoting research with longitudinal historical data.

User Submitted?: No

Authors: Gutmann, Myron P.; Mandemakers, Kees; Alter, George

Periodical (Full): Historical Social Research,

Issue: 3

Volume: 34

Pages: 78-114

Data Collections: IPUMS USA

Topics:

Countries: