Structural Equation Modelling Approach to Determine the Mother and Child Health Care in Madurai District, Tamil Nadu

Authors

  • S. Eswari  Department of Geography, Madurai Kamaraj University, Madurai, Tamil Nadu, India
  • V. Saravanabavan  Department of Geography, Madurai Kamaraj University, Madurai, Tamil Nadu, India
  • D. Balaji  Department of Geography, Madurai Kamaraj University, Madurai, Tamil Nadu, India

DOI:

https://doi.org/10.32628/IJSRST218256

Keywords:

SEM, AMOS, SPSS, Confirmatory Factor Analysis, Bootstrap Approach

Abstract

The present study attempt to describe the determinants of mother and child healthcare in Madurai District. To assess whether the exogenous constructs are highly correlated to each other and to identify the type of mediation exists in a model. The information was collected from the mother(s) lives in 13 blocks of Madurai district. The data collected for the year 2017-2018 and each block, 50 mothers were selected (13X50) and totally 650 samples were collected by random sampling method and they are the respondents of this study. The questions are related to their socio-economic status, attitude towards antenatal healthcare providers, healthcare utilization, child care, health problems, and psychological conditions. This information was transformed and confirmatory factor analysis was performed using SPSS software. Further, for the interpretation and findings, factor analysis, discriminant validity, path analysis with structural equation model (SEM) (direct relationship) and bootstrap approach (indirect relationship) was carried out by using AMOS software to validate the type of mediation found in this study. Hence, this study analyses the relationship of selected variables with mother and child care of women in the study area.

References

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Published

2021-04-30

Issue

Section

Research Articles

How to Cite

[1]
S. Eswari, V. Saravanabavan, D. Balaji "Structural Equation Modelling Approach to Determine the Mother and Child Health Care in Madurai District, Tamil Nadu" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 2, pp.335-344, March-April-2021. Available at doi : https://doi.org/10.32628/IJSRST218256