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The relationship between religiosity level and financial satisfaction in Asian countries with multilevel modeling Pamela Ayu Gitayani; Kismiantini
Jurnal Natural Vol. 26 No. 1 (2026)
Publisher : Faculty of Mathematics and Natural Science (FMIPA), Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v26i1.363

Abstract

Subjective financial satisfaction does not always reflect objective economic conditions, as seen in several Asian countries that have strong economies but tend to report low levels of public welfare. This study differs from previous global studies in that it focuses on Asia, a region with high cultural and religious diversity. This phenomenon has prompted studies on the role of non-economic factors, such as religiosity, in shaping financial perceptions. This study aims to analyse the relationship between religiosity and sociodemographic variables on financial satisfaction in Asian countries using multilevel modeling. A multilevel approach was used because the data has hierarchical structure data (individuals nested within countries). Using a multilevel approach, this study is able to capture the influence of religiosity at both individual and country levels. This study uses secondary data from the seventh wave of the World Values Survey (WVS) (2017–2022), which includes 30,878 respondents from 20 Asian countries. The multilevel models constructed are the null model, the random intercept model, and the random slope model. Religiosity is measured through two indicators: the importance of God in life and belief in God. The results of this study indicate that the random intercept model is the best model. The importance of God, age, being female, higher education, and income positively influence financial satisfaction, while belief in God negatively influences financial satisfaction at both the individual and national levels. These findings confirm that financial satisfaction in Asian countries is not only influenced by economic factors but also by religious values and individual psychological well-being.
Analisis Kualitas Tidur Penduduk Usia Produktif di Indonesia dengan Model Regresi Logistik Ordinal Mufid, Nadiya Azhar; Kismiantini, Kismiantini
Indonesian Journal of Applied Statistics Vol 7, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v7i2.86659

Abstract

The prevalence of poor sleep quality in the productive age population in Indonesia is quite high. This study aims to analyze factors that influence the sleep quality level of the productive age population in Indonesia by an ordinal logistic regression model based on the Fifth Indonesian Family Life Survey (IFLS5). In this study, the response variable used is sleep quality with an ordinal scale of 5 categories and 12 predictor variables with 1 continuous predictor variable that is age and 11 categorical predictors including education, job status, smoking habit, health, gender, marital status, physical activity, religious, depression level, life satisfaction, and economic level with data of 28.743 respondents. The results of this study indicated that the ordinal logistic regression model with proportional odds model was more suitable to be used to analyze the sleep quality level of productive age population in Indonesia than non-proportional odds model. Based on the analysis result, it was found that among 12 predictor variables, variables that had a significant effect on sleep quality level were education, job status, smoking habit, health, age, depression level, life satisfaction, and economic.Keywords: IFLS, sleep quality, ordinal regression, productive age population