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: | https://www.openjournals.nl/index.php/hlcs/article/view/9360 |
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| _version_ | 1832570759983136768 |
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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-2ea22c95f8264f5b9598a18eb5b50f8d |
| institution | Kabale University |
| issn | 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-2ea22c95f8264f5b9598a18eb5b50f8d2025-02-02T14:13:24ZengInternational Institute of Social HistoryHistorical Life Course Studies2352-63432015-12-01210.51964/hlcs9360Using the Intermediate Data Structure (IDS) to Construct Files for Statistical AnalysisLuciana QuarantaThe 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.https://www.openjournals.nl/index.php/hlcs/article/view/9360STATAEvent history analysisSurvival analysisEpisodes tableHistorySocial history |
| spellingShingle | Luciana Quaranta Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis Historical Life Course Studies STATA Event history analysis Survival analysis Episodes table History Social history |
| 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 | STATA Event history analysis Survival analysis Episodes table History Social history |
| url | https://www.openjournals.nl/index.php/hlcs/article/view/9360 |
| work_keys_str_mv | AT lucianaquaranta usingtheintermediatedatastructureidstoconstructfilesforstatisticalanalysis |