What is it about?
This study is about analysis factors that might affect participation of women in work place, employing the ChiSquare Automatic Interaction Detection (CHAID) method, continued with logistic regression to estimate the rate of risk based on those factors to women’s work participation. Dependent variable in this study is women’s work participation as categorical variable (work or not work), while the explanatory variables are level of education (basic, middle, high), age, marriage status, work training (yes or no), dependent, family’s support (get support or not get support), debt (has debt or has no debt), and health (suffering or not suffering severe illness).
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Why is it important?
The involvement of women in the labor market gives positive impact on families’ financial condition.
Perspectives
I hope this article gives a broadening insight into the role of women working for the family and community.
Yekti Widyaningsih
Universitas Indonesia
Read the Original
This page is a summary of: Analysis of variables that affect women’s participation to work in Kelurahan Pondok Cina, Depok, January 2020, American Institute of Physics,
DOI: 10.1063/5.0008286.
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