SSM職歴データを分析するための基礎的な方法論

Material type: 規格・テクニカルリポート類

Author: 保田, 時男

Publisher: 2005年SSM調査研究会

Publication date: 2008-03-10

Material Format: Digital

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Note (General)：: 出版タイプ： VoRThe sequential data of occupational career is the most outstanding feature in the SSM survey,but the data has not been used enough.One of th...

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SSM調査シリーズ; 12

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Material Type: 規格・テクニカルリポート類
Title: SSM職歴データを分析するための基礎的な方法論
Author/Editor: 保田, 時男
Author Heading: 保田, 時男
Publication, Distribution, etc.: 2005年SSM調査研究会
Publication Date: 2008-03-10
Publication Date (W3CDTF): 2008
Alternative Title: A Basic Methodology for Analyzing the Career Data from the SSM Survey
Periodical title: 社会調査における測定と分析をめぐる諸問題
Pages: 1-20
Subject Heading: 職歴
系列データ
方法論
occupational career
sequential data
methodology
Target Audience: 一般
Note (General): 出版タイプ： VoR
The sequential data of occupational career is the most outstanding feature in the SSM survey,but the data has not been used enough.One of the causes of it is the shortage of basic methodology to analyze the career data. The purpose of this paper is to apply the methods used for the analysis of observed behaviors, to the analysis of the career data. It would add a new option to the methods for approaching the career data.For making procedures of analysis not difficult,it is important to convert the sequential data into the appropriate form. It is effective to convert the data from the state sequences into the interval sequences. Therefore, the second section explains the actual conversion procedures. Because some judgments needed to complete the appropriate conversion are closely related to the coding works, it is preferable to conduct the conversion not at the analysis phase but at the coding phase. Even through sequential data include huge information, it is preferable that researchers analyzing the data take the same order as for normal analyses. It means that you should do univariate analyses first, and then advance to multivariate analyses. The third section proposes to use three indices for each aspect of occupation. Three indices are rates,probabilities,and duration.The analyses of career data can be advanced continuously form the univariate to the multivariate by consistently using these indices.
科学研究費補助金　特別推進研究（16001001）「現代日本階層システムの構造と変動に関する総合的研究」成果報告書
Access Restrictions: インターネット公開
Related Material: SSM調査シリーズ; 12
Related Material (NCID): BA85451442
https://ci.nii.ac.jp/ncid/BA85451442
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 関西大学 : 関西大学学術リポジトリ