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Filter search resultsAustralian Government performance story report
This is an example of collaborative outcomes reporting (COR) used for a natural resource management program in South Australia.ResourceFishbone diagram (cause and effect diagram)
This short guide describes the process of using a fishbone diagram to help uncover and visualise stakeholder perceptions of the root causes of a problem. It is often used in conjunction with the 'Five Whys' technique.Resource52 weeks of BetterEvaluation: Week 37: Collaborative Outcomes Reporting
Collaborative Outcomes Reporting (COR) is an approach to impact evaluation that combines elements of several rigorous non-experimental methods and strategies.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.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.ResourceCollaborative outcome reporting technique (CORT)
This resource is a concise overview of the method developed by Dr Jess Dart, known as the Collaborative Outcome Reporting Technique (CORT). The method is characterised by two elements: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