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Mirror of
BA Agriculture
Research Methods Library
of Alexandria (RMLA)
Back to RMLA (Pitt server)
Agriculture RMLA
Advancement in academia
typically depends upon Scientific publishing. The more you publish, the better
the first job, the higher the raise, and the faster the promotion. Sadly only 3%
of publications come from developing countries, despite the fact that 27% of the
scientists live in developing countries and 80% of the scientists.
In almost all disciplines in Science students
are required to learn about statistics. However, statistics is a difficult topic
to learn and learning it in a second language makes it doubly difficult. A primary reason for
this is Stataphobia which is the fear of research design and statistics, and not
having access to people who can help. Stataphobia makes it most difficult to
learn about statistics. Eighty percent of all rejected articles
are due to poor research methods.
Much of what we use across disciplines is the result
of the building of research methods in the area of Agriculture. We have
therefore built a research methods library of Alexandria for Agriculture
The components of the Agriculture RMLA are:
1.
The BA African Agricutlure Network (Part of The “BA African Networks”
which is divided into five different networks; Environment, ICT, Global health,
Agriculture and Research
methods that aims to connect scientists and researchers who share the same
interest under one link).
2. The BA Agriculture
Statistical Matrix