M&E Sourcebook: Case Studies

Introduction

M&E reports referred to in this Sourcebook are used to exemplify different approaches to M&E design, data collection, indicators, analysis and presentation and dissemination of results.

M&E reports referred to in the Sourcebook

All reports reviewed in the Sourcebook are listed below, classified by type of project/programme evaluated (e.g. structural and non-structural activities), and by the evaluation method(s) applied. Click on the links below for a summary of each.

  1. CARE International (2003) "Risk Management for Local Sustainable Development. Project Evaluation"

    Type of project/programme evaluated: non-structural (including training, capacity building and institutional development).

    Evaluation method(s) applied: qualitative, mainly participatory. The mixture of qualitative techniques used included semi-structured interviews, participatory workshops and secondary data reviews.

  2. BRCS/IFRC/DfID (2004) "Joint Evaluation of the BRCS/IFRC/DfID Disaster Reduction Programme 2001-2003"

    Type of project/programme evaluated: non-structural, with some structural activities based around food security, generated out of a local level VCA.

    Evaluation method(s) applied: qualitative, non-participatory.

  3. DIPECHO (1999) "Evaluation of the projects contained in the 1998 DIPECHO Action Plan for South East Asia"

    Type of project/programme evaluated: principally non-structural measures used, based around three main themes: training and the reinforcement of institutional structures; micro-projects of demonstrable value; and consultations, information and exchange of ideas.

    Evaluation method(s) applied: qualitative, non-participatory.

  4. CAMI/ARC (2003) 'Mitigation Grant for Risk Management and Community Preparedness, 2001-2003. Final impact evaluation report'

    Type of project/programme evaluated: mainly non-structural disaster preparedness/ prevention and response with some small structural mitigation projects.

    Evaluation method(s) applied: quantitative. A series of objective (impact) and output indicators were developed to measure performance against baseline data.