This manual was created at the request of the United States Agency for International Development (USAID). It is a tool to guide individuals who are implementing a pilot application in locations that have not previously tested it. The assumption is that they will be gauging the appropriateness and effectiveness of using the method within that context as a routine monitoring tool. LEMA is an adaptation of a monitoring approach known as Lot Quality Assurance Sampling. (LQAS). LQAS uses small sample sizes and binary indicators to classify local areas as meeting or not meeting minimum performance standards. This approach was first developed in the 1920s as a way to monitor the quality of manufacturing production. A small sample of items would be randomly selected from a production lot and examined for any imperfections. If the number of defective items within the lot was greater than a pre-set threshold level, then the entire lot was rejected (Robertson et al., 1997, p. 199). Rejected lots were then “examined more closely and either repaired or discarded” (MEASURE Evaluation Project 1998, p. 5). The downloads link to the toolkit (3000 kb) and a related presentation (7000 kb).

This report summarizes main findings and lessons learned from the piloting of lot quality assurance sampling (LQAS) in the education sector in Ghana. It also suggests next steps for applying LQAS more broadly for education program monitoring.