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

Authors

  • 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

DOI:

https://doi.org/10.19184/jid.v16i1.534

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

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Author Biography

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



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Published

2015-08-07

Issue

Section

General