Good Practice Guides
The statistical guides listed here were originally written as part of a contract with the UK Government's Department for International Development (DFID) to give guidane for research and support staff working on DFID Natural Resources projects.
- Statistical
Guidelines for Natural Resources Projects
- Concepts Underlying the Design of Experiments
- Some Basic Ideas of Sampling
- Guidelines for Planning Effective Surveys
- On-Farm Trials - Some Biometric Guidelines
- One Animal per Farm?
-
Writing Research Protocols - a statistical perspective
- Data Management Guidelines for Experimental Projects
- Disciplined Use of Spreadsheets for Data Entry
- The Role of a Database Package for Research Projects
- Excel for Statistics: Tips and Warnings
- Moving on from
MSTAT
- Confidence and Significance: Key Concepts of Inferential Statistics
- The Statistical Background to ANOVA
- Modern Approaches to the Analysis of Experimental Data
- Approaches to the Analysis of Survey Data
- Modern Methods of Analysis
- Mixed
Models and Multilevel Data Structures in Agriculture
- Writing up research - a statistical perspective
- Informative Presentation of Tables, Graphs and Statistics
- Guidelines for Good Statistical Graphics in Excel
- Good Tables for Excel Users
Case Studies
In addition we have produced the following case studies demonstrating what we mean by "Good Practice":
Last updated: 31 January, 2012
