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Filter search resultsActionable impact management - eBook series
This series, published by SoPact, the Melbourne Business School & Asia Pacific Social Impact Centre, covers four topics: Theory of Change and Groundwork, Social Impact Metrics, Data Strategy, Reports and Storytelling.Resource52 weeks of BetterEvaluation: Week 3: Q & A about drawing logic models
This week on BetterEvaluation we're presenting Questions and Answers about logic models.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.ResourceManaging for impact in rural development, a guide for project M&E, section 2: Using M&E to manage for impact
This resource published by IFAD discusses how monitoring and evaluation can be used to manage projects to maximise their impact, in this case on poverty reduction.ResourceEvaluation 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.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