Addendum to above Recommendations:

Some of the above recommendations may be considered radical by the TLMP Team, e.g. (2) on sampling, (6) on the adoption of the LLBF data processing technique, and (7) on the presentation of prices for benchmark sex-weight-grade combinations. Note that these 3 recommendations are NOT mutually interdependent, e.g. LLBF can still work without sex-weight-grade based sampling; SWGB sampling can be adopted without adopting LLBF processing (and will improve information accuracy over PR sampling); Benchmark SWG price presentation can be adopted without changes in sampling and with primitive data processing techniques. But do note that SWG Based Sampling and LLBF Data Processing will make significant improvements in accuracy and that Benchmark SWG Price Presentation should make a big improvement in the understandability and acceptance of the MIS by the target audience; note also that the adage GIGO (garbage in garbage out) applies to the computer system - the information output from the computer MIS system is only as good as the data being supplied to it; as a general judgement, the data collected in Dar, Moshi and Arusha so far appears to have been generally of a reasonably good quality, with the main weaknesses being due to the population-representative sampling employed.