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For the last several decades, social work curricula have included research as a required course at both the undergraduate and graduate levels. The few social work texts on statistics that exist are written from a mainstream perspective and do not challenge the current neoliberal social order. In Statistics for Social Justice: A Structural Perspective, van de Sande and Byvelds argue that social work research, including statistics, should be taught from a structural perspective and should follow anti-oppressive principles, which view the problems experienced by people as rooted in the social, political and economic structures of society. Just as social workers are committed to social justice and social change, so too should be the aim of social work research.In order for researchers to convince funders, the government or even the general public to accept their arguments, it is crucial to provide hard evidence in the form of numbers and statistics. Social workers must have a good understanding of quantitative research methods and statistical analysis in order to be able to present this kind of information. The aim of this book is to lay the foundation for this knowledge and provide an introduction into statistical concepts as they relate to social work, all while using a social justice lens.
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Though the negative effects of social exclusion are well documented, there is a paucity of research on women’s experiences of social exclusion as they relate to mothering within the institution of motherhood. Social exclusion is a socially constructed concept; it refers to a multi-dimensional form of systematic discrimination driven by unequal pow