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Filter search resultsDiscussion Paper: Innovations in Monitoring and Evaluation
This discussion paper produced by the United Nations Development Programme discusses various innovations that are occurring in M&E, and the advantages and disadvantages of these methods.RessourceCausal 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.RessourceWeek 8: Guest blog: Innovation in development evaluation
Development aid is changing rapidly – so must development evaluation.BlogEvaluation design
This resource from the New South Wales Department of Environment provides guidance on designing and planning evaluations.RessourceAnalyzing 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.RessourceChallenges 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.RessourceEnvironmental flows monitoring and assessment framework
This resource from the Cooperative Research Centre for Freshwater Ecology provides a framework for assessing environmental flow management plans.RessourcePractical considerations for leading and working on a mixed methods project
This toolkit from Realities aims to support staff who lead or work on mixed options research projects to prepare for, design and carry out their projects.RessourceIntroduction to mixed methods in impact evaluation
This guide, written by Michael Bamberger for InterAction outlines the elements of a mixed methods approach with particular reference to how it can be used in an impact evaluation.RessourceMultiple 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