The data are now analysed. The initial step in the analysis is often an exploration of the data, which includes searching for oddities, continuing the attention to ensure data are accurate and valid. To this end and continuing our series of video demonstrations on the use of CS-Pro, we have included a couple of videos here; the first shows how to create frequency tables in CS-Pro while the second demonstrates how to export data ready to read into a statistics package for analysis. Frequency tables are useful to produce at this stage both as a means of checking for anomalies and in order to get an initial feel for the data.
- Frequency Tables
- Frequency Tables version for laptop screen
- Frequency Tables raconté en françlais
- Frequency Tables raconté en françlais et pour petit écran
The data are then processed to answer the objectives of the activity. When researchers are skilled at using suitable software the initial analysis is often a quick procedure. The main story in the data can often be seen easily. A delay is often because the objectives were not complete or were not clearly specified. Other common reasons for a delay in this stage are lack of confidence by the researchers in the appropriate methods of analysis, or poor organisation of the data from the previous stage. The publications we have included here include general statistical guidelines; information on various statistical techniques; the analysis of survey data and the analysis of experimental data.
- Statistical Glossary
- Statistical Guidelines for Natural Resources Projects
- Modern Methods of Analysis
- Inferential Statistics
- Statistical Background to ANOVA
- Mixed Models and Multilevel Data Structures
- Approaches to the Analysis of Survey Data
- Modern Approaches to the Analysis of Experimental Data
- Using Excel for Statistics
The following resources are from a training workshop run for the Collaborative Crop Research Program of the McKnight Foundation in Kenya, April 2012.
Data Analysis of Agroforestry Experiments
The following resource are course notes from a workshop run by the World Agroforestry Centre in Nairobi with help from the Statistical Services Centre.
- Download a zipped file with the datasets - this includes a Word document describing the data
Last updated: 1 May, 2012