Open AccessUsing the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis
Author(s) -
Luciana Quaranta
Publication year - 2015
Publication title -
historical life course studies
Language(s) - English
Resource type - Journals
ISSN - 2352-6343
DOI - 10.51964/hlcs9360
Subject(s) - construct (python library) , computer science , standardization , extension (predicate logic) , data sharing , data mining , statistical analysis , data structure , longitudinal data , data file , information retrieval , data science , database , statistics , programming language , mathematics , operating system , medicine , alternative medicine , pathology
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.