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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.ResourceA quick primer on running online events and meetings
Meetings and gatherings are vital components of evaluation. Often these are done face-to-face, however sometimes necessity or practicality makes meeting online the best option.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.ResourceFormal meeting processes
Studies have demonstrated that attendance at meetings and conferences, planning discussions within the project related to use of the program evaluation, and participation in data collection foster feelings of evaluation involvement among stMethodConducting effective meetings
This paper from the Asian Development Bank (ADB) provides a number of strategies to ensure that meetings reach stated objectives in an engaging and productive manner.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