Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis
The use of longitudinal historical micro-level demographic data for research presents many challenges. The Intermediate Data Structure (IDS) was developed to try to solve some of these challenges by facilitating the storing and sharing of such data. This article proposes an extension to the IDS, whi...
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| Format: | Article |
| Language: | English |
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International Institute of Social History
2015-12-01
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| Series: | Historical Life Course Studies |
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| Online Access: | http://hdl.handle.net/10622/23526343-2015-0007?locatt=view:master |
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| _version_ | 1832569447407157248 |
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| author | Luciana Quaranta |
| author_facet | Luciana Quaranta |
| author_sort | Luciana Quaranta |
| collection | DOAJ |
| description | The use of longitudinal historical micro-level demographic data for research presents many challenges. The Intermediate Data Structure (IDS) was developed to try to solve some of these challenges by facilitating the storing and sharing of such data. This article proposes an extension to the IDS, which allows the standardization and storage of constructed variables. It also describes how to produce a rectangular episodes file for statistical analysis from data stored in the IDS and presents programs developed for such purpose. |
| format | Article |
| id | doaj-art-337a8dafb79e44e295125b26187aef5d |
| institution | Kabale University |
| issn | 2352-6343 2352-6343 |
| language | English |
| publishDate | 2015-12-01 |
| publisher | International Institute of Social History |
| record_format | Article |
| series | Historical Life Course Studies |
| spelling | doaj-art-337a8dafb79e44e295125b26187aef5d2025-02-02T21:09:54ZengInternational Institute of Social HistoryHistorical Life Course Studies2352-63432352-63432015-12-01286107Using the Intermediate Data Structure (IDS) to Construct Files for Statistical AnalysisLuciana Quaranta0Lund UniversityThe use of longitudinal historical micro-level demographic data for research presents many challenges. The Intermediate Data Structure (IDS) was developed to try to solve some of these challenges by facilitating the storing and sharing of such data. This article proposes an extension to the IDS, which allows the standardization and storage of constructed variables. It also describes how to produce a rectangular episodes file for statistical analysis from data stored in the IDS and presents programs developed for such purpose.http://hdl.handle.net/10622/23526343-2015-0007?locatt=view:master Intermediate Data StructureIDSHistorical DemographyDemographyLife CoursesSocial HistoryHistoryEpisodes TableSurvival AnalysisEvent History AnalysisSTATA |
| spellingShingle | Luciana Quaranta Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis Historical Life Course Studies Intermediate Data Structure IDS Historical Demography Demography Life Courses Social History History Episodes Table Survival Analysis Event History Analysis STATA |
| title | Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis |
| title_full | Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis |
| title_fullStr | Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis |
| title_full_unstemmed | Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis |
| title_short | Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis |
| title_sort | using the intermediate data structure ids to construct files for statistical analysis |
| topic | Intermediate Data Structure IDS Historical Demography Demography Life Courses Social History History Episodes Table Survival Analysis Event History Analysis STATA |
| url | http://hdl.handle.net/10622/23526343-2015-0007?locatt=view:master |
| work_keys_str_mv | AT lucianaquaranta usingtheintermediatedatastructureidstoconstructfilesforstatisticalanalysis |