Shaping the future: Our strategy for research and innovation in humanitarian response.
Rigorous surveys that measure the impact of GBV programmes in non-humanitarian settings often involve intensive time, energy and technical engagement of outside researchers. Surveys often must sample thousands of households to estimate rates of GBV and understand programme impact. In humanitarian settings, organizations often lack the time, resources or expertise to implement these large-scale surveys – effectively eliminating the possibility of measuring programme impact within a community.
Lot Quality Assurance Sampling (LQAS) is a rapid, population–based sampling methodology often used in the health sector. Compared to cluster surveys, LQAS uses smaller sample sizes – which can make it a useful approach for data collection in resource-constrained settings.
While LQAS sampling methodologies have been shown to be promising in other sectors, they have not been widely used in GBV programmes. During this project, the GWI plans to adapt the LQAS methodology for use by humanitarian agencies implementing GBV programmes.
If it proves successful, a small sample size approach may reduce some of the common barriers for collecting population-based data on GBV in humanitarian settings and improve the international community’s ability to measure the impact of their programmes.
Using LQAS methodology, GWI and IFOS will conduct a small sample survey in 1 commune of the Sud-Est Department in Haiti. This data will be compared to data previously collected by the research team using a traditional cluster-based approach with a larger sample size.
The research team will compare the survey results generated by the two sampling methods as well as look at costs, human resources and time spent conducting each survey. This will result in a lessons learned paper comparing the two methodologies including recommendations on if and how LQAS methods could be applied for GBV programmes in humanitarian programmes globally.
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