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Filter search resultsThe value iceberg: weighing the benefits of advocacy and campaigning
BetterEvaluation Discussion Paper 1 is a thought piece written by Rhonda Schlangen and Jim Coe (independent consultants), members of the BetterEvaluation Community, and is intended to promote discussion.ResourceCausal 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.ResourceWeek 48: The value iceberg
Efforts to measure, quantify and compare the 'value' of different interventions have become popular as a way for social change organisations to decide how to use their time and money.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.ResourceJoint after-action review of our humanitarian response to the tsunami crisis
This paper outlines the findings from the Joint After Action Review conducted to evaluate the response to the 2004 Indian Ocean tsunami.ResourceMultiple 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