Assessments And Interpretation

Statistical Analysis
Data gathered from all involved agencies by the Core Analyst Group are further analysed using programs such as ADDATI, Execel and SPSS software packages. Statistical analysis techniques include correlation, correspondence, multiple regressions, principle component and cluster analysis depending on the purposes of analysis. Brief descriptions on selectied statistical analyses are found below.
    Correlation Analysis: Is used to test the degree of association between tow quantitative variables. An assiciation between two quantitative variables gives a correlation coefficient between 1 to -1. If it is a perfect correlation, it shoud be 1 or -1. The range of correlation will be between these two extremes with 0 implying no association.
    Multiple Regression Analysis: Is used to find a mathematical relation between a depenr variable - e.g. prevalence of undernutrition; poverty rates - and a set independent variables - i.e. various contributing factors.
    Principle Component Analysis: Replaces input variables wioth so called component variables which are independent from each other. Furthermore, the analytical procedure helps determine the determination of whether there is a need to use all the component variables or only if some of these are needed explain the variations in the raw variables.
    Cluster Analysis: Will group administrative units at the same level - e.g. provinces and districts - according to similarities and defferences of the units or to the typologies of the units.

Geopatial Analysis and Cartographic Presentation of Final Outputs
Outputs from the statistical analyses are imported into the GIS mapping software - ArcView GIS and/or MapInfo. They are then linked to digital administrative boundary maps at national, provinces, districts and commune levels as well as village location maps through the same administrative area codes includes in the maps and the statistical analysis outputs. Final outcome maps are thematic maps depicting, for example, relative levels of vulnerability by district, dependcy rations by province, dropout rates and so forth.

Geopatial and Topological analysis and image processing techniques - e.g. accessibility and network analysis; time-series analysis - are also used as appropriate with digital raster and vector maps to facilitate indentification of food insecurity and vulnerable areas and/or populations. In time of natural disasters and relief operations, overlaying such maps as food and drought affected area maps over FIVIMS maps would help effective interventions to relieve affected populations and regions - e.g. estimation of relief needs.

The Core FIVIMS Analysts are responsible for data processing, manipupation, analysis, interpretation of outputs and final map presention. They are also responsible for report writing and submission as specified below.

Household Level Food Insecurity and Vulnerability Analysis
The details procedures for household vulnerability analysis had not been estabilshed that will complement provincial or district Level FIVIMS analysis. However, with assistance from FAO through its Japan-funded AFP and the FNPP project, the use of the household socio-economic survey data has been expored . A technical report to be published will describe methodologies and techniques uses for the household level vulnerability analysis and the estimation of vulnerable populations, which in a revised version of the Manual in the future.

Reporting and Information Dissemination
  1-Report Drafting
     The Core Analysis Group is charge with preparation of draft food insecurity and
     vulnerability analysis reports at least yearly as well as other types of FIVIMS reports when
     required, which are comprised of texts, tables, graphs, maps and images.

  2-Report Submission to the TSC
     After completion of the draft reports, the Core Analysis Group submits them to the TSC
     and the national FIVIMS Secretariat and the IMSC for review and clearance.
    
  3-Review by the TSC and the IMSC
     Consultative review meetings or workshops are held by the TSC and the IMSC to consider
     , revise and/or give comments on the draft reports. With feedback from the TSC and the
     IMSC, the Core Analysis Group makes amendments as appropriate and finalize the report.

  4-Approval, Printing and Distribution
     After finalizing the reports, the Core Analyst Group re-submits them to the TSC and the
     IMSC for endoresement. Upon receipt of approval. the reports are printed and distributed
     to FIVIMS stakeholders and System users including the FIVIMS Network members. To the
     extent possible, the same reports are disseminated electronically through the Cambodia
     FIVIMS website to be developed and linked to the Cambodia KIDS.

Advocacy Strategy

One of the main objectives/tasks of FIVIMS is to increase the attention of all involved agencies on appropriate interventions for food insecurity alleviation and to prepare appropriate action plans to address problems in food insecurity and vulnerability. Relevant activities to meet these objectives include:

• Organize sensitization workshops and meetings at national and local levels for policy and decision makers as well as all those concerned with food insecurity and poverty.
  
  
• Organize regular meetings with the FIVIMS line-agencies and donors as appropriate to discuss various issues related to FIVIMS and information collection and dissemination.

• Produce and distribute to FIVIMS stakeholders and System users FIVIMS reports including maps of regions where people are at risk of food insecurity and vulnerability on a regular basis.



• Broadcast FIVIMS related information through TV and Radio.
  
  
• Report submission directly to top decision makers of the nation.