This is the plan for a half-day workshop at the SCECSAL conference in Nairobi June 4-8, 2012.
- Why bother?
- Building Strong Library Associations (BSLA). See IFLA > BSLA
- Statistics for Advocacy (SFA). See Statistics for Advocacy at the project blog.
- Statistics in Africa. See Library statistics in Africa by Elisha Chiware
- IFLA Statistics Manifesto. See home page.
- Evidence-based librarianship and information practice. See EBLIP.
- The web as a basis for EBLIP
- How to design a library census. See Dominican census.
- How to collect data on library services by statistical sampling. See Sampling.
- How to collect data on library zones and user behavior by systematic observation. See TTT method
- We define sixteen observation activities. See Activities.
- We estimate the average number of library users on the premises (occupancy, population)
- Day by day
- Week by week
- Year by year. See Time Series > Nedre Eiker
Using TTT we can estimate
- When we analyze our observations, we group the observation activities into social categories. See Activities > Analysis
- We calculate diagrams (information graphics) based the social categories. See Activities > Analysis
- To facilitate rapid scanning we combine the diagrams into dashboards.
- The average occupancy (number of users) in each zone
- The variation in occupancy through the day
- no. of persons using library PCs/total no. of library PCs
- no. of persons sitting/total no. of seats