Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis

Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis

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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 I...

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Bibliographic Details
Main Author: Luciana Quaranta
Format: Article
Language:English
Published: International Instititute of Social History 2015-12-01
Series:Historical Life Course Studies
Subjects:
STATA
Event history analysis
Survival analysis
Episodes table
History
Social history
Online Access:https://test.openjournals.nl/hlcs/article/view/9360
id doaj-88a981f0b2db4dad998fcef317420b49
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spelling doaj-88a981f0b2db4dad998fcef317420b492021-05-04T10:12:44ZengInternational Instititute of Social HistoryHistorical Life Course Studies2352-63432015-12-012Using the Intermediate Data Structure (IDS) to Construct Files for Statistical AnalysisLuciana Quaranta 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. https://test.openjournals.nl/hlcs/article/view/9360STATAEvent history analysisSurvival analysisEpisodes tableHistorySocial history
collection DOAJ
language English
format Article
sources DOAJ
author Luciana Quaranta
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
author_facet Luciana Quaranta
author_sort Luciana Quaranta
title 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_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_sort using the intermediate data structure (ids) to construct files for statistical analysis
publisher International Instititute of Social History
series Historical Life Course Studies
issn 2352-6343
publishDate 2015-12-01
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.
topic STATA
Event history analysis
Survival analysis
Episodes table
History
Social history
url https://test.openjournals.nl/hlcs/article/view/9360
work_keys_str_mv AT lucianaquaranta usingtheintermediatedatastructureidstoconstructfilesforstatisticalanalysis
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