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Comparative Analysis on Social Stratification and Social Network with Latent Mean Structure

Research Project

Project/Area Number 24530603
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Sociology
Research InstitutionNihon University

Principal Investigator

SUGANO Tsuyoshi  日本大学, 文理学部, 教授 (10332751)

Project Period (FY) 2012-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2014: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Keywords社会階層 / 社会的ネットワーク / 地域比較 / 測定 / 構造方程式モデリング / 社会関係 / 社会調査 / 郵送調査
Outline of Final Research Achievements

The aim of this research is to investigate the relationship between social stratification and social networks. Preceding research pointed out that social networks or social capital have positive effects on various aspects of people's life chance. However, there are many types of social network measurements. The measurements of social networks applied are quite different among many social surveys. Findings on social networks are often not comparable. In other words, validity and reliability of social network measurements are still unknown.
We conducted comparative social survey among Taito-ku and Itabashi-ku areas. We confirmed the validity and reliability of social network measurements by multi population analysis and latent mean structure analysis conducted by R library(lavaan).

Report

(4 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )
  • 2013 Research-status Report
  • 2012 Research-status Report
  • Research Products

    (1 results)

All 2015

All Presentation (1 results)

  • [Presentation] 社会階層と社会的ネットワークの地域比較分析2015

    • Author(s)
      菅野剛
    • Organizer
      第59回数理社会学会大会
    • Place of Presentation
      久留米大学
    • Year and Date
      2015-03-14
    • Related Report
      2014 Annual Research Report

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Published: 2013-05-31   Modified: 2019-07-29  

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