Quantitative Analysis Using Household Survey Data
Chandni Raja, Naomi Crowther, Ella Spencer
Abstract
Chandni Raja, Naomi Crowther, Ella Spencer
Abstract
Uses the Department for International Development (DFID) Sudan household survey on public service provision to explore the limitations of a data set, ascertain the suitability for quantitative analysis, identify a research question, triangulate the data, and perform advanced quantitative analysis. The focus on the three public services of education, health, and water and sanitation reflects their importance as a political matter within Sudan and within the international community, and the analysis offers insight for donors and nongovernmental organizations working in the service delivery area. Despite the challenges of obtaining data on public service provision in fragile and conflict-affected states (FCAS), including these data within the analysis becomes critical to amalgamate a view of how perceptions across populations in conflict and non-conflict zones are likely to differ. The fact that service provision in conflict areas will often be provided by humanitarian organizations rather than governments requires cautious consideration of responses in a comparative sense.
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Uses the Department for International Development (DFID) Sudan household survey on public service provision to explore the limitations of a data set, ascertain the suitability for quantitative analysis, identify a research question, triangulate the data, and perform advanced quantitative analysis. The focus on the three public services of education, health, and water and sanitation reflects their importance as a political matter within Sudan and within the international community, and the analysis offers insight for donors and nongovernmental organizations working in the service delivery area. Despite the challenges of obtaining data on public service provision in fragile and conflict-affected states (FCAS), including these data within the analysis becomes critical to amalgamate a view of how perceptions across populations in conflict and non-conflict zones are likely to differ. The fact that service provision in conflict areas will often be provided by humanitarian organizations rather than governments requires cautious consideration of responses in a comparative sense.
Key concepts: Sanitation, Political science, Politics, Public relations, Quantitative analysis (chemistry), Survey data collection, Service (business), Data collection