• DocumentCode
    507113
  • Title

    Analysis of Individual Career Decision-Making Based on Partial Least-Squares Regression Model

  • Author

    Bao, Xuecai ; Wang, Tangsheng ; Hu, Jianfeng

  • Author_Institution
    Inst. of Inf. & Technol., JiangXi Blue Sky Univ., Nanchang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    522
  • Lastpage
    526
  • Abstract
    In the process of career choices, the different individual has always different ways of reaction, so it becomes a hotspot of research for effective career decision. In the paper, 28 items and 9 variable of "career decision-making investigation" was designed for value orientation and career decision style of the1136 Chinese vocational education student and graduates, which conducted a questionnaire survey and cluster analysis. After attaining a stable cluster analysis of the data, partial least-squares regression model is proposed for discriminant analysis of career decision-making types and an effective professional decision-making model is established. Lastly, the result shows that the method has higher prediction accuracy after researching feasibility analysis of predict result.
  • Keywords
    decision making; education; least mean squares methods; regression analysis; Chinese vocational education student; cluster analysis; discriminant analysis; effective professional decision-making model; individual career decision-making analysis; partial least-squares regression model; Data analysis; Decision making; Educational institutions; Educational products; Engineering profession; Environmental economics; Fuzzy systems; Information analysis; Least squares methods; Management training; partial least-squares regression model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.192
  • Filename
    5359503