Forthcoming and Online First Articles

International Journal of Multivariate Data Analysis

International Journal of Multivariate Data Analysis (IJMDA)

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International Journal of Multivariate Data Analysis (2 papers in press)

Regular Issues

  • Application of Survey Logistic Regression to Assess knowledge, attitude, and Testing Towards HIV/AIDS Infections Among Sudanese Reproductive Women   Order a copy of this article
    by Mohammed Omar Musa Mohammed, Ahmed Saied Rahama Abdallah 
    Abstract: This paper aimed to assess the knowledge, attitude, and testing of HIV infection, and their linked with socio-demographic factors among women of the reproductive age group in Sudan. The study depended on the Multiple Indicator Cluster Survey (MICS) 2014 of Sudan collected from the United Nations Childrens Fund (UNICEF). A total of 13017 women were included in this analysis. The study applied Survey logistic regression to analyze the data. The study obtained the important results: there is a significant association among states, age groups, and education level with knowledge towards HIV AIDS. Respondents in the age group 45-49 years and participants who resided in urban areas had the highest adequate knowledge toward HIV/AIDS. Most of the poorest participants had a negative attitude towards HIV/AIDS. There is a significant association between states, education level, and wealth index with the attitude towards HIV AIDS. The study revealed a significant association between place of residence, states, age group, marital status, education level, and wealth index towards testing HIV AIDS. The study recommended that effective programs needed to increase the awareness of Sudanese people in all states.
    Keywords: Survey Logistic; MICS; Knowledge; Attitude; HIV/AIDS.

  • Impact of Households Socioeconomic and Demographic Characteristics on Severe and Overall Poverty Statuses in Namibia: A Probit Modelling Approach   Order a copy of this article
    by Opeoluwa Oyedele 
    Abstract: Namibia continues to experience high prevalence of poverty, with large numbers of households still living in poverty conditions and unable to afford the minimum daily essentials for a decent life. In this paper, the impact of socioeconomic and demographic characteristics of households on severe and overall poverty statuses was statistically analysed using data from the 2015/2016 Namibia Household Income and Expenditure Survey. Results showed that the age of the household head, educational level, main source of income and marital status, as well as household location, region, size and indebtedness had a significant impact on both overall and severe poverty incidence. It is therefore recommended that the Namibian government and policy makers put more efforts in improving the socioeconomic and demographic characteristics of households, especially households located in the Omaheke, Zambezi, Kavango East and Kunene regions and households whose main source of income are pension, remittances/grants and drought/in-kind receipts.
    Keywords: poverty; probit regression model; poverty lines; severe poverty; household poverty; Namibia.