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Filter search resultsCausal 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.ResourceIdentifying the intended user(s) and use(s) of an evaluation
This guideline from the International Development Research Centre (IDRC) highlights the importance of identifying the primary intended user(s) and the intended use(s) of an evaluation and outlines a variety of methods that can be used to acResourceReporting on outcomes: Setting performance expectations and telling performance stories
This paper by John Mayne provides a practical guide to telling performance stories and setting expectations about what level of performance was expected.ResourceAdapting evaluation in the time of COVID-19 — Part 3: Frame
Evaluation needs to respond to the changes brought about by the Covid-19 pandemic. As well as direct implications for the logistics of collecting data and managing evaluation processes, the pandemic has led to rapid changes in what organisBlogEvaluation 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