Authors
Abstract
Poverty as a lived experience is a complex, multi-dimensional phenomenon. This project used data from the Understanding Society dataset to create groups of households with different experiences of poverty. Latent Class Analysis was applied to 20 indicators of poverty to create different ‘types’ of poverty among the low-income population. Interpretation of the quantitative analysis was verified by carrying out in-depth interviews with households in the different poverty types. The research findings were used to develop a toolkit to guide policymakers and practitioners in their attempts to combat poverty. The project also assessed whether the data analysis could be carried out at a local level, using local data.
Link
https://www.understandingsociety.ac.uk/research-conference-2013/papers/29
Notes
Barnes presenter