Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males

Douglas Andabati Candia; Patrick Guge Oloo Weke; Moses Mwangi Manene

doi:doi:10.11648/j.ajtas.20231204.12

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Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males

Douglas Andabati Candia, Patrick Guge Oloo Weke, Moses Mwangi Manene

Published in American Journal of Theoretical and Applied Statistics (Volume 12, Issue 4)

Received: 10 June 2023 Accepted: 30 June 2023 Published: 11 July 2023

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Abstract

Globally, there is a rise in reporting of intimate partner violence against men though limited attention has been directed toward addressing the practice problem. Therefore, this study aimed to identify the risk factors associated with intimate partner violence against males. This study used data from Demographic and Health Surveys. We compared the two-level mixed-effects and one-level regression models with logit, probit, and clog log link functions. The two-level mixed-effects regression model fitted the data best. From the study sample, 44.2 percent of males had experienced IPV. The factors that increased the likelihood of experiencing IPV included belonging to the Catholic or Pentecostal religious denominations; being divorced or separated; fathering children with multiple partners and one’s partner exhibiting jealousy and other controlling behaviors. Males can also experience IPV with differences across regions of Uganda, hence a need for policies and interventions tailored specifically to the country's different regions. Additionally, there is a need to engage religious institutions and other stakeholders in sensitizing people on issues relating to IPV and multiple-partner fertility. The results showed that the multilevel models reported the lowest AIC values and fitted the data better than the ordinary regression models. Users of DHS datasets need to consider using multilevel models since the data is hierarchical in nature with respondents nested with geographical locations such as residence (rural/urban), districts, regions, etc., and the samples are obtained using multistage sampling which involves clustering of respondents.

Published in	American Journal of Theoretical and Applied Statistics (Volume 12, Issue 4)
DOI	10.11648/j.ajtas.20231204.12
Page(s)	72-81
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

Intimate Partner Violence, Male, Uganda, Mixed-Effects, Probit, Multilevel

References

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Douglas Andabati Candia, Patrick Guge Oloo Weke, Moses Mwangi Manene. (2023). Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males. American Journal of Theoretical and Applied Statistics, 12(4), 72-81. https://doi.org/10.11648/j.ajtas.20231204.12

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ACS Style

Douglas Andabati Candia; Patrick Guge Oloo Weke; Moses Mwangi Manene. Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males. Am. J. Theor. Appl. Stat. 2023, 12(4), 72-81. doi: 10.11648/j.ajtas.20231204.12

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Douglas Andabati Candia, Patrick Guge Oloo Weke, Moses Mwangi Manene. Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males. Am J Theor Appl Stat. 2023;12(4):72-81. doi: 10.11648/j.ajtas.20231204.12

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@article{10.11648/j.ajtas.20231204.12,
  author = {Douglas Andabati Candia and Patrick Guge Oloo Weke and Moses Mwangi Manene},
  title = {Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {12},
  number = {4},
  pages = {72-81},
  doi = {10.11648/j.ajtas.20231204.12},
  url = {https://doi.org/10.11648/j.ajtas.20231204.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20231204.12},
  abstract = {Globally, there is a rise in reporting of intimate partner violence against men though limited attention has been directed toward addressing the practice problem. Therefore, this study aimed to identify the risk factors associated with intimate partner violence against males. This study used data from Demographic and Health Surveys. We compared the two-level mixed-effects and one-level regression models with logit, probit, and clog log link functions. The two-level mixed-effects regression model fitted the data best. From the study sample, 44.2 percent of males had experienced IPV. The factors that increased the likelihood of experiencing IPV included belonging to the Catholic or Pentecostal religious denominations; being divorced or separated; fathering children with multiple partners and one’s partner exhibiting jealousy and other controlling behaviors. Males can also experience IPV with differences across regions of Uganda, hence a need for policies and interventions tailored specifically to the country's different regions. Additionally, there is a need to engage religious institutions and other stakeholders in sensitizing people on issues relating to IPV and multiple-partner fertility. The results showed that the multilevel models reported the lowest AIC values and fitted the data better than the ordinary regression models. Users of DHS datasets need to consider using multilevel models since the data is hierarchical in nature with respondents nested with geographical locations such as residence (rural/urban), districts, regions, etc., and the samples are obtained using multistage sampling which involves clustering of respondents.},
 year = {2023}
}

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TY  - JOUR
T1  - Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males
AU  - Douglas Andabati Candia
AU  - Patrick Guge Oloo Weke
AU  - Moses Mwangi Manene
Y1  - 2023/07/11
PY  - 2023
N1  - https://doi.org/10.11648/j.ajtas.20231204.12
DO  - 10.11648/j.ajtas.20231204.12
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  - 72
EP  - 81
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20231204.12
AB  - Globally, there is a rise in reporting of intimate partner violence against men though limited attention has been directed toward addressing the practice problem. Therefore, this study aimed to identify the risk factors associated with intimate partner violence against males. This study used data from Demographic and Health Surveys. We compared the two-level mixed-effects and one-level regression models with logit, probit, and clog log link functions. The two-level mixed-effects regression model fitted the data best. From the study sample, 44.2 percent of males had experienced IPV. The factors that increased the likelihood of experiencing IPV included belonging to the Catholic or Pentecostal religious denominations; being divorced or separated; fathering children with multiple partners and one’s partner exhibiting jealousy and other controlling behaviors. Males can also experience IPV with differences across regions of Uganda, hence a need for policies and interventions tailored specifically to the country's different regions. Additionally, there is a need to engage religious institutions and other stakeholders in sensitizing people on issues relating to IPV and multiple-partner fertility. The results showed that the multilevel models reported the lowest AIC values and fitted the data better than the ordinary regression models. Users of DHS datasets need to consider using multilevel models since the data is hierarchical in nature with respondents nested with geographical locations such as residence (rural/urban), districts, regions, etc., and the samples are obtained using multistage sampling which involves clustering of respondents.
VL  - 12
IS  - 4
ER  -

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Author Information

Douglas Andabati Candia

Department of Planning and Applied Statistics, Makerere University, Kampala, Uganda
Patrick Guge Oloo Weke

Department of Mathematics, University of Nairobi, Nairobi, Kenya
Moses Mwangi Manene

Department of Mathematics, University of Nairobi, Nairobi, Kenya

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APA Style

Douglas Andabati Candia, Patrick Guge Oloo Weke, Moses Mwangi Manene. (2023). Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males. American Journal of Theoretical and Applied Statistics, 12(4), 72-81. https://doi.org/10.11648/j.ajtas.20231204.12

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ACS Style

Douglas Andabati Candia; Patrick Guge Oloo Weke; Moses Mwangi Manene. Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males. Am. J. Theor. Appl. Stat. 2023, 12(4), 72-81. doi: 10.11648/j.ajtas.20231204.12

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AMA Style

Douglas Andabati Candia, Patrick Guge Oloo Weke, Moses Mwangi Manene. Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males. Am J Theor Appl Stat. 2023;12(4):72-81. doi: 10.11648/j.ajtas.20231204.12

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@article{10.11648/j.ajtas.20231204.12,
  author = {Douglas Andabati Candia and Patrick Guge Oloo Weke and Moses Mwangi Manene},
  title = {Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {12},
  number = {4},
  pages = {72-81},
  doi = {10.11648/j.ajtas.20231204.12},
  url = {https://doi.org/10.11648/j.ajtas.20231204.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20231204.12},
  abstract = {Globally, there is a rise in reporting of intimate partner violence against men though limited attention has been directed toward addressing the practice problem. Therefore, this study aimed to identify the risk factors associated with intimate partner violence against males. This study used data from Demographic and Health Surveys. We compared the two-level mixed-effects and one-level regression models with logit, probit, and clog log link functions. The two-level mixed-effects regression model fitted the data best. From the study sample, 44.2 percent of males had experienced IPV. The factors that increased the likelihood of experiencing IPV included belonging to the Catholic or Pentecostal religious denominations; being divorced or separated; fathering children with multiple partners and one’s partner exhibiting jealousy and other controlling behaviors. Males can also experience IPV with differences across regions of Uganda, hence a need for policies and interventions tailored specifically to the country's different regions. Additionally, there is a need to engage religious institutions and other stakeholders in sensitizing people on issues relating to IPV and multiple-partner fertility. The results showed that the multilevel models reported the lowest AIC values and fitted the data better than the ordinary regression models. Users of DHS datasets need to consider using multilevel models since the data is hierarchical in nature with respondents nested with geographical locations such as residence (rural/urban), districts, regions, etc., and the samples are obtained using multistage sampling which involves clustering of respondents.},
 year = {2023}
}

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TY  - JOUR
T1  - Multi-Level Analysis of Risk Factors for Intimate Partner Violence Against Males
AU  - Douglas Andabati Candia
AU  - Patrick Guge Oloo Weke
AU  - Moses Mwangi Manene
Y1  - 2023/07/11
PY  - 2023
N1  - https://doi.org/10.11648/j.ajtas.20231204.12
DO  - 10.11648/j.ajtas.20231204.12
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  - 72
EP  - 81
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20231204.12
AB  - Globally, there is a rise in reporting of intimate partner violence against men though limited attention has been directed toward addressing the practice problem. Therefore, this study aimed to identify the risk factors associated with intimate partner violence against males. This study used data from Demographic and Health Surveys. We compared the two-level mixed-effects and one-level regression models with logit, probit, and clog log link functions. The two-level mixed-effects regression model fitted the data best. From the study sample, 44.2 percent of males had experienced IPV. The factors that increased the likelihood of experiencing IPV included belonging to the Catholic or Pentecostal religious denominations; being divorced or separated; fathering children with multiple partners and one’s partner exhibiting jealousy and other controlling behaviors. Males can also experience IPV with differences across regions of Uganda, hence a need for policies and interventions tailored specifically to the country's different regions. Additionally, there is a need to engage religious institutions and other stakeholders in sensitizing people on issues relating to IPV and multiple-partner fertility. The results showed that the multilevel models reported the lowest AIC values and fitted the data better than the ordinary regression models. Users of DHS datasets need to consider using multilevel models since the data is hierarchical in nature with respondents nested with geographical locations such as residence (rural/urban), districts, regions, etc., and the samples are obtained using multistage sampling which involves clustering of respondents.
VL  - 12
IS  - 4
ER  -

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