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Filter search resultsBuilding the evidence base for post project evaluation: Case study review and evaluability checklists
This report to the Faster Forward Fund by Laurie Zivetz and Jindra Cekan of Valuing Voices compares findings from eight end-of-project and subsequent post project evaluations.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.ResourceMissing link: Sustained and emerging impact evaluation
This blog post by Jindra Cekan and Laurie Zivetz of Valuing Voices discusses the need for post-project impact evaluations.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.ResourceEngagement in relevant organisational processes
For evaluation to be truly useful it needs to be embedded in organisational processes. Particularly relevant issues include strategic changes to how government and non-government organisations plan, manage and implement.MethodMultiple 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