how network data science can address social problem of intersectional inequality?
Answers
Answer:
Quantitative analysis masks the truly dynamic associations between individuals’ characteristics and outcomes. There are some methodological challenges with applying a ‘inter-categorical’ approach to quantitative analysis on intersectional inequalities. The first concerns the categorisation of people into predefined categories.
Because of data constraints, important dimensions of inequality may be overlooked.
In such models the coefficient of an interaction term is not easily understood, and the true relation can also go the opposite way (positive or negative).
Next, the presentation and structure of analysis is important in communicating results from quantitative studies that focus on interactions between features, particularly when transmitting results for audiences less experienced in quantitative research interpretation.
Quantitative data are not often organized in such a way that intersection analysis is easily facilitated.
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