• DocumentCode
    495769
  • Title

    Definite Algorithm Based on Causal Effect in SEM for the Analysis of Earthquake-Stricken Masses´ Mental Health

  • Author

    Tong, Hengqing ; Ou, Zhuoling ; Gong, Yan

  • Author_Institution
    Dept. of Math., Wuhan Univ. of Tech., Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    517
  • Lastpage
    521
  • Abstract
    In recent years, SEM is widely used in many fields. This paper builds a mental health evaluation model for earthquake-stricken masses through the principle of structural equation model. Based on our MCLS solution for measurement equation by adding a constraint with modular length to the latent variable, we change the modular lengths of latent variables so that the path coefficients between any latent variables and its manifest variables satisfy prescription condition, at the same time, consider making the sum of error square least, we obtain a definite algorithm for SEM. With our model, the relationship of structure variables in index system can be analyzed, as well as the relationship between the construction and observation variables. Thus, we can make good analysis of the earthquake-stricken massespsila mental health, so related experts can take effective interventions.
  • Keywords
    least squares approximations; psychology; MCLS solution; SEM; causal effect; construction variable; earthquake-stricken mass; index system; latent variable; manifest variable; mental health evaluation model; observation variable; path coefficient; structural equation model; structure variable; sum of error square least; Algorithm design and analysis; Computer science; Earthquake engineering; Equations; Information analysis; Length measurement; Mathematics; Numerical analysis; Psychology; Seismic measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.244
  • Filename
    5171393