Training manual July xps

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4.7.5 Analysing data
The proposal should indicate that you will use adequate experimental design, sampling methods and replicate your trials where possible.
Statistics is a discipline within its own right and there are numerous good statistics books and reference to guide you. It is essential
BEFORE preceding an experiment to ensure your design is
robust i.e. that it captures the hypotheses that you are aiming to address. It is wise to consult a statistician or biometrician to verify your design when subject to analyses will be
valid. A common mistake made by inexperienced researchers is the failure to decide in advance how they will analyse the data that they will collect. The types of analysis

57 possible will be constrained by data you have obtained. The data you have will be determined by the research design and by the types of measurement you have chosen. Theory based assessment the internal logic of your research question will also tell you what sort of data you need (e.g. continuous and discontinuous events. Using the correct analytical method is vital in making the most of your data. Incorrect analysis can lead to the wrong conclusions being made and you may miss important and exciting findings. Check your data (Normality of data)
Analyse your data using statistical packages. For example

Detecting differences between samples (ANOVA; multivariate analysis

Representing differences between samples (PCA; cluster analysis

Detecting a trend (linear regression establish correlations (Pearson.

Manual contents
Training objectives
Style and content of the training programme
Introduction to the trainers
Francis ouruma alacho
Professor satish chandra
Chitaku g. mucheleng’anga
Dr gregory robin
Professor keith tomlins
Course timetable
Module one writing research proposals
Value chain approaches
Table 2.1 concept note content
Expected results
Other related
Why is it important to the scientific world – what
Practice makes perfect!!
Split into existing groups
Example of coding an interview script
Undertaking research in value chains
What is a value chain
Fieldwork exercise diagnosis of trc value chain research needs
Ideas for interview questions general
Table 5.1 criteria fora successful interviewer
Module two research methods
Informed consent
Table 7.1 selected patent applications by patent office, broken down by resident and
Source: wipo statistics database, january 2011
Module three capturing intellectual property rights
Table 8.1: summary of types of intellectual property and what they protect
Certification marks
Potato”. ab geographical indication (gi)
Plant breeders' rights (pbr)
Protection of new plant varieties
Exercise: who owns ip
Hawai’i taro patent controversy
Source: makerere university (2010) process map for to-be process – inv 1.1 protection-patenting.
Chapter ten building a community of practice
References/further reading
Research methods
Intellectual property rights
Appendix 1 understanding and using development terms
Information on data
Quality assurance
Backup and security
Expected difficulties in data sharing
Preparation of data for sharing and archiving
Appendix 4 research funding bodies
African union research grant call
Bill & melinda gates foundation, usa
Gdn’s global research capacity building program on research
International foundation for science
Leverhulme-royal society africa award
Newton international fellowships scheme
Rockefeller foundation
Start (system for analysis research and training)
The africa/asia/latin america scholarly collaborative program
The cgiar research program on climate change, agriculture, and food
The food security center (fsc) university of hohenheim, germany
Third world academy of sciences
World bank – development marketplace
Appendix 5 check your proposal
It is important not to
Typical comments from evaluators of eu research proposals (corn, 2010)
Final advice from the eu/checklist
Appendix 6 course forms
Strongly agree
End of training evaluation form

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