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Filter search resultsNetwork weaving for regional development: an evaluation of the caucasus' agricultural alliances in Armenia and Georgia using social network analysis
Written by Larry Dersham and Tikhon (Lasha) Bokuchava for Oxfam, this research report is an example of applying Social Network Analysis to evaluate the stage of development of development of two regional alliances.ResourceSocial network analysis
This one-page guide to Social Network Analysis provides a brief overview, practical tips for using the technique, and a list of resources for more information.ResourceCommunicating evaluation findings
BlogCausal criteria methods manual
This manual details the 8-step causal criteria framework, a method that can be used to integrate information from different data sources.ResourceSocial network analysis in program evaluation
This special edition of New Directions for Evaluation from the American Evaluation Association (AEA) provides nine articles on social network analysis in program evaluation.Resource52 weeks of BetterEvaluation: Week 47: using video to communicate evaluation findings
In the last in our series of blogs on using video in evaluation, Glenn O'Neil joins us to discuss how you can use video to communicate your evaluation findings.BlogWeek 15: Fitting reporting methods to evaluation findings – and audiences
This week we're sharing some ideas from Rakesh Mohan on ways of making evaluation reports more interesting.Blog7 Strategies to improve evaluation use and influence - Part 1
What can be done to support the use of evaluation? How can evaluators, evaluation managers and others involved in or affected by evaluations support the constructive use of findings and evaluation processes?BlogEvaluation design
This resource from the New South Wales Department of Environment provides guidance on designing and planning evaluations.ResourceAnalyzing cause and effect in environmental assessments: Using weighted evidence from the literature
This article describes the Eco Evidence analysis framework, a type of causal criteria analysis that uses available evidence to assess support for a hypothesis.ResourceChallenges for evidence-based environmental management: What is acceptable and sufficient evidence of causation?
This paper explores the use of the Eco Evidence framework in answering the question "what is acceptable and sufficient evidence of causation?" in environmental assessments.ResourceEnvironmental flows monitoring and assessment framework
This resource from the Cooperative Research Centre for Freshwater Ecology provides a framework for assessing environmental flow management plans.ResourceEvaluation report checklist
This checklist was developed by drawing upon and reflecting on The Program Evaluation Standards which were created for the Joint Committee on Standards for Educational Evaluation, 1994.ResourceMonitoring the composition and evolution of the research networks of the CGIAR research program on roots, tubers and bananas (RTB)
This Brief provides an example of how Social Network Analysis (SNA) can be used, in the context of agricultural research.ResourceNetMiner
This software from CYRAM allows the user to analyse social network data both visually and interactively, which allows the detection of underlying structures and patterns.Resource52 weeks of BetterEvaluation: Week 8: Using social network analysis for M&E
Most of the work done in development is done in collaboration, in partnership with individuals or organizations who contribute to a particular task or project we are working on.BlogUnderstanding the role of the World Bank Group in a crowded institutional landscape [Network analysis example]
In this example, the Independent Evaluation Group (IEG - part of the World Bank Group) have used a network analysis to gain a better understanding of the role of the World Bank Group's policy interventions in the health sector in LiberResourceMultiple lines and levels of evidence
Multiple lines and levels of evidence (MLLE) is a systematic approach to causal inference that involves bringing together different types of evidence (lines of evidence) and considering the strength of the evidence in terms of different indMethod