Abstract
We developed a novel model combining the partial least squares structural equation modeling (PLS-SEM) and Artificial Neural Network (ANN) to examine the relationships between demographic variables, spousal support, financial satisfaction, and marital satisfaction. The sample comprised 948 Turkish participants who completed the Spousal Support Scale, Financial Satisfaction Scale, and Kansas Marital Satisfaction Index. In the dimension of PLS-SEM, spousal support positively influenced financial satisfaction. In the below- and above-starvation-line groups, marital satisfaction was positively influenced by financial satisfaction and spousal support. The PLS-SEM and the ANN models were integrated, and the present PLS-SEM model was validated. SS and FS were two crucial aspects of a marriage that significantly determine overall marital satisfaction in the below- and above-starvation-line groups. The MLP analysis demonstrated the validity of the relationship model between marital satisfaction and demographics. Age in the group above the starvation line and the number of children in the group below the starvation line were significant variables for MS.
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The data that support the outcomes of the present study are available on demand from the corresponding author.
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Günaydın, H., Kayral, I.E. A Model into Relations Between Spousal Support, Financial Satisfaction, and Marital Satisfaction. J Fam Econ Iss (2023). https://doi.org/10.1007/s10834-023-09908-w
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DOI: https://doi.org/10.1007/s10834-023-09908-w