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

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
[1] M. Rahman, V. R. Giedraitis, and T. Akhtar, “The social sanction of divorce: who ultimately pay the social costs of its adverse effects,” Sociol. Anthropol., vol. 1, no. 1, pp. 26–33, 2013, https://doi.org/10.13189/sa.2013.010103
[2] X. P. Montenegro and A. K. Management, The Divorce Experience: A Study of Divorce at Midlife and Beyond.
[3] A. R. Kraynak and A. Faculty, “A Historical Review of Research Findings Regarding the Adjustment of U. S. Children to Divorce,” pp. 1–24, 2006.
[4] S. K. Hospital and G. Nagar, “Mental and Emotional Impact of Divorce on Women,” vol. 37, no. 1, p. 2011, 2011.
[5] A. Ambert, “DIVORCE: Facts, Causes & Consequences,” 2009.
[6] P. F. Fagan and A. Churchill, “The Effects of Divorce on Children,” vol. 66, no. 2001, pp. 1–48, 2012.
[7] E. Of and I. N. The, “Research on Divorce: Continuing Trends and New Developments,” vol. 16802, no. June, pp. 650–666, 2010, https://doi.org/10.1111/j.1741-3737.2010.00723.x
[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.
[9] S. Clark and S. Brauner-otto, “Divorce in sub-Saharan Africa: Are Unions Becoming Less Stable? Divorce in sub-Saharan Africa: Are Unions Becoming Less Stable?,” vol. 41, no. 4, pp. 583–605, 2019.
[10] G. Reniers, “Divorce and remarriage in rural Malawi,” Demogr. Res., vol. 9, no. SUPPL. 1, pp. 175–206, 2003, https://doi.org/10.4054/DemRes.2003.S1.6
[11] B. A. S and A. S. Erulkar, “Evaluation of Berhane Hewan: A Program To Delay Child Marriage in Rural Ethiopia.”
[12] Serkalem A. “REPORT ON CAUSES AND CONSEQUENCES OF EARLY MARRIAGE IN,” no. July, 2006.
[13] D. Tilson and U. Larsen, “DIVORCE IN ETHIOPIA: THE IMPACT OF EARLY MARRIAGE AND CHILDLESSNESS,” vol. 15, pp. 355–372, 2000.
[14] K. Antonio, E. W. Frees, and E. A. Valdez, “A Multilevel Analysis of Intercompany Claim Counts,” ASTIN Bull., vol. 40, no. 1, pp. 151–177, 2010, https://doi.org/10.2143/ast.40.1.2049223
[15] S. V Subramanian, “Multilevel Modeling,” pp. 507–525, 2010, https://doi.org/10.1007/978-3-642-03647-7
[16] I. R. White and J. B. Carlin, “Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate values,” Stat. Med., vol. 29, no. 28, pp. 2920–2931, 2010, https://doi.org/10.1002/sim.3944
[17] R. S. Stawski, “Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd Edition),” Struct. Equ. Model. A Multidiscip. J., vol. 20, no. 3, pp. 541–550, 2013, https://doi.org/10.1080/10705511.2013.797841
[18] M. D. Begg, An introduction to categorical data analysis (2nd edn). Alan Agresti, John Wiley & Sons, Inc., Hoboken, New Jersey, 2007. No. of Pages: 400. Price: $100.95. ISBN: 978-0-471-22618-5, vol. 28, no. 11. 2009.
[19] S. Demography, H. D. Aug, V. A. Freedman, and D. A. Wolf, “A Case Study on the Use of Multiple Imputation Author (s): Vicki A. Freedman and Douglas A. Wolf Published by: Springer on behalf of the Population Association of America Stable URL: http://www.jstor.org/stable/2061691 A Case Study on the Use of Mul,” vol. 32, no. 3, pp. 459–470, 2018.
[20] B. T. Zewude, “Assessment and Identification of Factors that Contribute to Divorce of Women in Ethiopia,” 2016, vol. 24, pp. 1–5.
[21] T. G. Adegoke, “Studies of Tribes and Tribals Socio-cultural Factors as Determinants of Divorce Rates among Women of Reproductive Age in Ibadan Metropolis, Nigeria Socio-cultural Factors as Determinants of Divorce Rates among Women of Reproductive Age in Ibadan Metropol,” 2017, https://doi.org/10.1080/0972639X.2010.11886617
[22] Megerssa Gobena. Rural- Urban Differentials In Family Formation in and Around Debrezeit (1999). Unpublished M.Sc Thesis. Dtrc, Idr. Addis Ababa University.
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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
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    JF  - American Journal of Theoretical and Applied Statistics
    JO  - American Journal of Theoretical and Applied Statistics
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    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
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Author Information
  • Department of Statistics, College of Natural Science, Bonga University, Bonga, Ethiopia

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

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