Showing items 16 to 30 of 36
As mobile data collection in remote regions and developing countries becomes more viable for development organisations, the robustness of the methodologies used must be considered in relation to the goal of evidence-based development. Expanded possibilities According to the UN International Telecommunication Union, “by the end of 2014, 55% of all mobile-broadband subscriptions are expected to […]
LSE’s recent JSRP conference on politics and evidence in international development highlighted problems inherent in the ways ‘evidence’ tends to be defined and used in mainstream development discourse and practice. How can Evidence for Development’s individual household method (IHM) and current involvement in the ‘Assessing Rural Transformations’ project inform the discussion and help to oil […]
Using public money to reduce global poverty is a tough enough ‘task’ even without having to account for each pound spent every five minutes. But aid professionals can hardly claim to be less susceptible to self-serving group-think than anyone else, and indeed the case for strong reality checks on aid expenditure will remain particularly strong […]
Idly scanning the pages of the Observer on Sunday morning, this graphic caught my eye in Will Hutton’s article about inequality in Britain. Evidence for Development has a large collection of individual household income data from some of the poorest countries in Africa, and Hutton’s chart on wealth inequality in the UK reminded me […]
You might remember all the attention last year on stopping Joseph Kony and the LRA. For the past two weeks I’ve been with Self Help Africa (SHA) in a region of northern Uganda that was severely affected by the conflict – in many villages, a whole generation of young adults are missing – and there […]
The purpose of the baseline survey was to provide information that will assist in the monitoring and evaluation of Mango projects implemented by Self Help Africa (SHA) in partnership with ANAMARC in Salima District, Malawi. The study used the Individual Household Method (IHM) for data collection and data analysis and included four whole village surveys, randomly selected for the assessment.
The cases of Mtimaukanena in Dowa and Masumbankhunda in Lilongwe, Malawi
The case of Teuka village, Zomba District