Environmental Engineering Reference
In-Depth Information
Statistical analysis of correlates of attitudes to coral reef use and conser-
vation. Do older people view coral collection differently to the younger gen-
eration, for example?
Qualitative contextual analyses. How do people view the reef as a resource
and component of their livelihoods? How do they view the institutional
setting? How do they perceive use to have changed over time? What ideas do
they have for improving the sustainability of reef use and their livelihoods?
7. Act on your results.
Feed back results and recommendations to the community head and
to respondents before you leave the study area. Provide a report to them and
to local sponsors, in an appropriate format.
Ensure raw data are made available to local collaborators, with appro-
priate modifications to ensure confidentiality for respondents.
Write up and publish analyses in as many forums as possible, so that
the results are available to others. Ensure authorship is appropriate, for
example, including local collaborators. Ensure you make recommendations
for future research and action.
Think of ways to ensure that your study has a longer-term positive
impact. Target policy-makers, support others who wish to continue the work,
and hold sessions with local people to discuss ways to address your findings.
3.4 Resources
3.4.1 Websites
Environment and development organisations with downloadable publications:
Institute for Development Studies: www.ids.ac.uk
CIFOR: http://www.cifor.cgiar.org/
International Institute for Environment and Development: http://www.iied.org/
UK Department for International Development: http://www.dfid.gov.uk/
Overseas Development Institute: http://www.odi.org.uk/
Sustainable livelihoods guidance sheets (DFID): http://www.livelihoods.org/
Participatory Planning, Monitoring and Evaluation: http://portals.wdi.wur.nl/ppme/?
Tools_%26_Methods
International Development and Research Centre: http://www.idrc.ca/index_en.html
Global Socio-Economic Monitoring Initiative for Coastal management (Soc-Mon): http://inter-
national.nos.noaa.gov/socioeconomic/tools.html
Statistics:
StatSoft online statistics textbook: http://www.statsoft.com/textbook/stathome.html
G*Power software: http://www.psycho.uni-duesseldorf.de/aap/projects/gpower/
Simple explanation of statistical power: http://www.jeremymiles.co.uk/misc/power/Cluster
Analysis: http://www.statsoft.com/textbook/stcluan.html#general
Ordinal logistic regression: http://www2.chass.ncsu.edu/garson/pa765/logistic.htm
Principal
components analysis: http://www.statsoft.com/textbook/stfacan.html
R: a very flexible freeware programming language, for use in statistics and modelling: http://
www.r-project.org/
 
 
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