Welcome to Section 2.2 Key principles in the analysis of data on violence against children!

Amiya Bhatia, Associate Professor, Department of Social Policy and Intervention, University of Oxford

Amiya introduces you to 9 principles for analyzing data on violence against children. These include:

Remember that data are people. Statistics on violence that come from the VACS datasets constitute the lived experiences of young people.
Understand the context of data on violence. How were data collected, how were children safeguarded, what ethical approaches did the study use?

Define your conceptual approach. Are you thinking about violence across the social ecology, about gender and power? Which theoretical and conceptual approaches are you using to guide your analysis?
Engage with children’s ages & stages. How does your analysis respond to the ages and life stages of the children and young people in the data?
Understand how violence is measured. How was violence measured in the questionnaire and survey and how does your analysis respond to this?
Consider the audience of the analysis. Which stakeholders will engage with the analysis and findings?
Consider your positionality. How are your position, lived experiences, disciplinary training, and expertise shaping your analysis?
Center self and collective care. Are resources available to support researchers to engage with data on violence?
Discuss strengths, limitations, and next steps. Analyses of data all have strengths and limitations and could be improved; which ones apply to your analysis?