TY - GEN
T1 - Estimation of Poverty Model Effect Size in Indonesia Using Meta-Analytic Structural Equation Modeling (MASEM)
AU - Standsyah, Rahmawati Erma
AU - Otok, Bambang Widjanarko
AU - Suharsono, Agus
N1 - Publisher Copyright:
© 2023 American Institute of Physics Inc.. All rights reserved.
PY - 2023/1/23
Y1 - 2023/1/23
N2 - Effect size is a measure of the difference in effect or the relationship of one variable to another variable. The effect size on the poverty model is obtained from the correlation between the factors influencing the poverty variable. The poverty model in Indonesia is influenced by economic, health, and human resources (HR) variables, the effect size of the poverty model in each province is heterogeneous or has differences so that to produce a value of generally or homogeneous poverty for Indonesia, should be estimated using meta-analytic structural equation modeling (MASEM). The estimation of the effect size of the MASEM in this study uses the GMM because it is sensitive to data heterogeneity. The results of this study indicate that the effect size of MASEM has SE values ξ1ǡ ξ2 and ξ3 namely 0.033, 0.035 and 0.033 which meets the fitted model. Therefore, the homogeneity of the poverty in Indonesia is significantly affected by the economic variable in the amount of 0.483 and the Health variable in the amount of -0.156, while the HR variable has a non-significant effect in the amount of 0.003.
AB - Effect size is a measure of the difference in effect or the relationship of one variable to another variable. The effect size on the poverty model is obtained from the correlation between the factors influencing the poverty variable. The poverty model in Indonesia is influenced by economic, health, and human resources (HR) variables, the effect size of the poverty model in each province is heterogeneous or has differences so that to produce a value of generally or homogeneous poverty for Indonesia, should be estimated using meta-analytic structural equation modeling (MASEM). The estimation of the effect size of the MASEM in this study uses the GMM because it is sensitive to data heterogeneity. The results of this study indicate that the effect size of MASEM has SE values ξ1ǡ ξ2 and ξ3 namely 0.033, 0.035 and 0.033 which meets the fitted model. Therefore, the homogeneity of the poverty in Indonesia is significantly affected by the economic variable in the amount of 0.483 and the Health variable in the amount of -0.156, while the HR variable has a non-significant effect in the amount of 0.003.
UR - http://www.scopus.com/inward/record.url?scp=85147441908&partnerID=8YFLogxK
U2 - 10.1063/5.0112323
DO - 10.1063/5.0112323
M3 - Conference contribution
AN - SCOPUS:85147441908
T3 - AIP Conference Proceedings
BT - 7th International Conference on Basic Sciences 2021, ICBS 2021
A2 - Raju, B. Deva Prasad
A2 - Sawano, Yoshihiro
A2 - Nadzir, Mohd Shahrul Mohd
A2 - Wibawan, I. WayanTeguh
A2 - Indratno, Wahyu
A2 - Sutapa, I. Wayan
A2 - Elim, H. I.
PB - American Institute of Physics Inc.
T2 - 7th International Conference on Basic Sciences 2021, ICBS 2021
Y2 - 23 November 2022 through 24 November 2022
ER -
