Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model

Abdisa Teshome; Jaleta Abdisa

doi:doi:10.11648/j.ajtas.20241301.12

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Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model

Abdisa Teshome^*, Jaleta Abdisa

Published in American Journal of Theoretical and Applied Statistics (Volume 13, Issue 1)

Received: 4 January 2024 Accepted: 16 January 2024 Published: 7 March 2024

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Abstract

Divorce is a major life stressor for the individuals involved, with potentially strong negative consequences for the mental and physical health of all members of the family. The aim of this study was to investigate the existence of regional heterogeneity marital dissolution among women in Ethiopia. The study used data from the 2016 Ethiopia Demographic and Health Survey which was a stratified two stage cluster sampling procedure was used. The researcher has been used (n=11405) of all married women from the selected population of study nested within nine regional states and two administrative cities in Ethiopia at time of interview. The Multilevel model were used to explore the major risk factors and regional variations of marital dissolution in Ethiopia using R statistical software. The descriptive result revealed that among eligible married women the proportion of marital dissolution was 9.91%. Among the three multilevel logistic models the random slope model found to be the best description of the data set and to evaluate the within and between regional heterogeneity of marital dissolution. Using this model variables that significantly affect the marital dissolution in Ethiopia were residence, education level of women, work status of women, duration of marriage, number of children, education level of husband and number of unions. The effects of the determinant variables are the same for each region, but the number of children and education level of husband were the two variables which varies within and between in each region. The other important result from this paper is that missing data analysis using appropriate imputation technique was performed to make better inferences.

Published in	American Journal of Theoretical and Applied Statistics (Volume 13, Issue 1)
DOI	10.11648/j.ajtas.20241301.12
Page(s)	8-20
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Marital Dissolution, Multilevel Logistic Regression Model, Determinant

References

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[8]	S. Rao and M. Health, “MARRIAGE, MENTAL HEALTH AND the Indian legislation." Indian Journal of Psychiatry 47.1,” no. 113, pp. 113–128, 2005.
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APA Style

Teshome, A., Abdisa, J. (2024). Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model. American Journal of Theoretical and Applied Statistics, 13(1), 8-20. https://doi.org/10.11648/j.ajtas.20241301.12

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ACS Style

Teshome, A.; Abdisa, J. Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model. Am. J. Theor. Appl. Stat. 2024, 13(1), 8-20. doi: 10.11648/j.ajtas.20241301.12

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AMA Style

Teshome A, Abdisa J. Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model. Am J Theor Appl Stat. 2024;13(1):8-20. doi: 10.11648/j.ajtas.20241301.12

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@article{10.11648/j.ajtas.20241301.12,
  author = {Abdisa Teshome and Jaleta Abdisa},
  title = {Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {13},
  number = {1},
  pages = {8-20},
  doi = {10.11648/j.ajtas.20241301.12},
  url = {https://doi.org/10.11648/j.ajtas.20241301.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20241301.12},
  abstract = {Divorce is a major life stressor for the individuals involved, with potentially strong negative consequences for the mental and physical health of all members of the family. The aim of this study was to investigate the existence of regional heterogeneity marital dissolution among women in Ethiopia. The study used data from the 2016 Ethiopia Demographic and Health Survey which was a stratified two stage cluster sampling procedure was used. The researcher has been used (n=11405) of all married women from the selected population of study nested within nine regional states and two administrative cities in Ethiopia at time of interview. The Multilevel model were used to explore the major risk factors and regional variations of marital dissolution in Ethiopia using R statistical software. The descriptive result revealed that among eligible married women the proportion of marital dissolution was 9.91%. Among the three multilevel logistic models the random slope model found to be the best description of the data set and to evaluate the within and between regional heterogeneity of marital dissolution. Using this model variables that significantly affect the marital dissolution in Ethiopia were residence, education level of women, work status of women, duration of marriage, number of children, education level of husband and number of unions. The effects of the determinant variables are the same for each region, but the number of children and education level of husband were the two variables which varies within and between in each region. The other important result from this paper is that missing data analysis using appropriate imputation technique was performed to make better inferences.
},
 year = {2024}
}

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TY  - JOUR
T1  - Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model
AU  - Abdisa Teshome
AU  - Jaleta Abdisa
Y1  - 2024/03/07
PY  - 2024
N1  - https://doi.org/10.11648/j.ajtas.20241301.12
DO  - 10.11648/j.ajtas.20241301.12
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 8
EP  - 20
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20241301.12
AB  - Divorce is a major life stressor for the individuals involved, with potentially strong negative consequences for the mental and physical health of all members of the family. The aim of this study was to investigate the existence of regional heterogeneity marital dissolution among women in Ethiopia. The study used data from the 2016 Ethiopia Demographic and Health Survey which was a stratified two stage cluster sampling procedure was used. The researcher has been used (n=11405) of all married women from the selected population of study nested within nine regional states and two administrative cities in Ethiopia at time of interview. The Multilevel model were used to explore the major risk factors and regional variations of marital dissolution in Ethiopia using R statistical software. The descriptive result revealed that among eligible married women the proportion of marital dissolution was 9.91%. Among the three multilevel logistic models the random slope model found to be the best description of the data set and to evaluate the within and between regional heterogeneity of marital dissolution. Using this model variables that significantly affect the marital dissolution in Ethiopia were residence, education level of women, work status of women, duration of marriage, number of children, education level of husband and number of unions. The effects of the determinant variables are the same for each region, but the number of children and education level of husband were the two variables which varies within and between in each region. The other important result from this paper is that missing data analysis using appropriate imputation technique was performed to make better inferences.

VL  - 13
IS  - 1
ER  -

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Author Information

Abdisa Teshome

Department of Statistics, College of Natural Science, Bonga University, Bonga, Ethiopia

Contact Email
Jaleta Abdisa

Department of Statistics, College of Natural Science, Jimma University, Jimma, Ethiopia

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APA Style

Teshome, A., Abdisa, J. (2024). Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model. American Journal of Theoretical and Applied Statistics, 13(1), 8-20. https://doi.org/10.11648/j.ajtas.20241301.12

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ACS Style

Teshome, A.; Abdisa, J. Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model. Am. J. Theor. Appl. Stat. 2024, 13(1), 8-20. doi: 10.11648/j.ajtas.20241301.12

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AMA Style

Teshome A, Abdisa J. Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model. Am J Theor Appl Stat. 2024;13(1):8-20. doi: 10.11648/j.ajtas.20241301.12

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@article{10.11648/j.ajtas.20241301.12,
  author = {Abdisa Teshome and Jaleta Abdisa},
  title = {Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {13},
  number = {1},
  pages = {8-20},
  doi = {10.11648/j.ajtas.20241301.12},
  url = {https://doi.org/10.11648/j.ajtas.20241301.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20241301.12},
  abstract = {Divorce is a major life stressor for the individuals involved, with potentially strong negative consequences for the mental and physical health of all members of the family. The aim of this study was to investigate the existence of regional heterogeneity marital dissolution among women in Ethiopia. The study used data from the 2016 Ethiopia Demographic and Health Survey which was a stratified two stage cluster sampling procedure was used. The researcher has been used (n=11405) of all married women from the selected population of study nested within nine regional states and two administrative cities in Ethiopia at time of interview. The Multilevel model were used to explore the major risk factors and regional variations of marital dissolution in Ethiopia using R statistical software. The descriptive result revealed that among eligible married women the proportion of marital dissolution was 9.91%. Among the three multilevel logistic models the random slope model found to be the best description of the data set and to evaluate the within and between regional heterogeneity of marital dissolution. Using this model variables that significantly affect the marital dissolution in Ethiopia were residence, education level of women, work status of women, duration of marriage, number of children, education level of husband and number of unions. The effects of the determinant variables are the same for each region, but the number of children and education level of husband were the two variables which varies within and between in each region. The other important result from this paper is that missing data analysis using appropriate imputation technique was performed to make better inferences.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Statistical Analysis of Regional Heterogeneity of Marital Dissolution Among Women in Ethiopia, EDHS 2016: Application of Multilevel Logistic Regression Model
AU  - Abdisa Teshome
AU  - Jaleta Abdisa
Y1  - 2024/03/07
PY  - 2024
N1  - https://doi.org/10.11648/j.ajtas.20241301.12
DO  - 10.11648/j.ajtas.20241301.12
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 8
EP  - 20
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20241301.12
AB  - Divorce is a major life stressor for the individuals involved, with potentially strong negative consequences for the mental and physical health of all members of the family. The aim of this study was to investigate the existence of regional heterogeneity marital dissolution among women in Ethiopia. The study used data from the 2016 Ethiopia Demographic and Health Survey which was a stratified two stage cluster sampling procedure was used. The researcher has been used (n=11405) of all married women from the selected population of study nested within nine regional states and two administrative cities in Ethiopia at time of interview. The Multilevel model were used to explore the major risk factors and regional variations of marital dissolution in Ethiopia using R statistical software. The descriptive result revealed that among eligible married women the proportion of marital dissolution was 9.91%. Among the three multilevel logistic models the random slope model found to be the best description of the data set and to evaluate the within and between regional heterogeneity of marital dissolution. Using this model variables that significantly affect the marital dissolution in Ethiopia were residence, education level of women, work status of women, duration of marriage, number of children, education level of husband and number of unions. The effects of the determinant variables are the same for each region, but the number of children and education level of husband were the two variables which varies within and between in each region. The other important result from this paper is that missing data analysis using appropriate imputation technique was performed to make better inferences.

VL  - 13
IS  - 1
ER  -

Copy | Download