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Development of Modules for Data Reduction

for efficient analysis of occupational history
TANAKA Sigeto <http://www.sal.tohoku.ac.jp/~tsigeto/office.html>
(Graduate School of Arts and Letters, Tohoku University)
Editor= Tadahiko MAEDA. 2008. 2005 SSM Research Series 12: Problems in Measurement and Analysis in Social Surveys. 2005nen SSM Tyousa Kenkyuukai, pp. 21–45.
Date: 2008-03-10
NCID: BA85451442
Language: JPN
ReMCat: {2008:BA85451442}



This paper proposes a “toolbox” approach for analyses of data with a complex structure. In this approach, you use any programming language for preprocessing before statistical analyses. It is an alternative to the “all-in-one” approach in which you use a statistical package to conduct both data processing and statistical analyses. It is efficient to use a full-fledged programming language instead of poor data processing functions of statistical packages. And it is more efficient to utilize “modules” prepared to meet common needs. The paper focuses on the data structure and the object-oriented modules to process occupational history. The author has developed some modules in Perl, and introduces the basic feature of the modules. This paper also includes some programs to make class categories and parson-year data of personal histories. Further details are available from http://www.sal.tohoku.ac.jp/~tsigeto/dredu/.


data structure, Perl, career analysis, object-oriented programming


This paper is a part of research result of the research project granted by Grant-in-Aid for Scientific Research (KAKENHI) 16001001 (represented by Sato Yoshimichi) in fiscal 2004-2007.

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Tohoku University / Faculty of Arts and Letters / Applied Japanese Linguistics / TANAKA Sigeto / SSM Survey

Copyright (c) 2008 TANAKA Sigeto

Address: http://www.sal.tohoku.ac.jp/~tsigeto/office.html

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