This study examined the social structures that contribute to the feminization of poverty. In this quantitative study, the social structures examined were race, education, age, and marital status. Hypotheses were tested by means of a secondary analysis of survey data. The hypotheses were tested using bivariate and multivariate analyses.
The results showed that race (non-White), education (lower), and age (older) were statistically significant predictors of women's poverty status. However, based on logistic regression analysis, marital status (non-married) had the greatest impact. An interaction effect between age and marital status showed that older non-married women were most likely to be poor.
The results suggest that women's poverty is highly affected by social structures. It is recommended that social workers advocate for the removal of policies and procedures that limit women in poverty from attaining equal opportunity.
|Advisor:||Potts, Marilyn K.|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 47/06M, Masters Abstracts International|
|Subjects:||Social work, Womens studies, Sociology|
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