International Journal of Applied Science and Technology

ISSN 2221-0997 (Print), 2221-1004 (Online) 10.30845/ijast

The Linkages between Mortality, Education and Prosperity Using Partially Latent Models: A Hierarchical Approach
Faisal G. Khamis

Abstract
Background:
Many studies had been carried out to examine the association between mortality, education and prosperity. The purpose of this study is to examine the relationship between three indicators of education: the percentages of population who achieved primary, secondary and tertiary education; prosperity factor which includes three indicators: the percentages of CLASS1, CLASS2 and CLASS3 of occupation; and mortality factor which also includes three indicators: standardized (infant, neonatal and stillbirth) mortality ratios using partially latent models. The data were collected from the information of 81 districts based on the census conducted in Malaysia in 1995.

Results: The proposed models 1 and 2 provided an accepted fit to the observed data, where for model 1 ( 2  (20)  26.15, p-value  0.16 ) and for model 2 ( 2  (22)  27.10, p-value  0.21), indicating that the proposed models were acceptable in interpreting the hypothesized relationships. Bollen’s incremental fit-index values were examined as these are least biased due to non-normality of studied variables and they were found most of them close to 0.95. The estimated effect of prosperity factor on mortality factor ( 2 1   ) was found significant for both models with ( 12 ˆ  0.38,t  3.65) for model 1 and ( 12 ˆ  0.38,t  3.62) for model 2. The estimated total effect of PR_EDC indicator was found significant for both models with ( 11 21 12 ˆ ˆ ˆ  0.09, t 1.95) for model 1 and ( 11 21 12 ˆ ˆ ˆ  0.09, t 1.98) for model 2.

Conclusions: We didn’t find in general significant relationship between educational indicators and mortality factor, but negatively significant relationship was found between prosperity factor and mortality factor.

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