Structural Equation Modeling of the Factors Affecting the Nutritional Status of Children Under Five in Banyuwangi Region using Recursive (one-way) GSCA

  • I Made Tirta Program Studi Magister Matematika, FMIPA, Universitas Jember
  • Nawal Ika Susanti MTs. Nurul Huda, Jenisari, Genteng Banyuwangi
  • Yuliani Setia Dewi Program Studi Magister Matematika, FMIPA, Universitas Jember

Abstract

Structural Equation Modeling is one among popular multivariate analysis, especially applied in pschology and marketing. There are two main types of Structural Equation Modeling namely covariance-based or CB-SEM and variance-based or Partial Least Square (PLS)- SEM. Both types have advantages and disadvantage. To overcome its limitation, Generalized Structured Component Analysis (GSCA) was then proposed as an extension of PLS-SEM. In estimating the parameters, GSCA uses Alternating Least Squares (ALS) and in estimating the standard error of the parameter estimates it uses the bootstrap method. In this paper, GSCA is applied to study the causality model of Infant nutritional status, in relation with socio-economic status and infantcare status in Banyuwangi Region. The results show that both socio-economic and infantcare status have significant positive influence on infant nutritional status.

Keywords:  Alternating least square, generalized structural component analysis,  nutritional status of infants,  structural equation modelling

Author Biography

I Made Tirta, Program Studi Magister Matematika, FMIPA, Universitas Jember


Published
2015-08-07
How to Cite
TIRTA, I Made; SUSANTI, Nawal Ika; DEWI, Yuliani Setia. Structural Equation Modeling of the Factors Affecting the Nutritional Status of Children Under Five in Banyuwangi Region using Recursive (one-way) GSCA. Jurnal ILMU DASAR, [S.l.], v. 16, n. 1, p. 1-6, aug. 2015. ISSN 2442-5613. Available at: <https://jurnal.unej.ac.id/index.php/JID/article/view/534>. Date accessed: 29 may 2020. doi: https://doi.org/10.19184/jid.v16i1.534.
Section
General