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Algorithms & Big Data
2
Evaluation Methods, Evaluation Tools
2
Standards, Ethics in Evaluation, Codes of Conduct
1
Development Assistance: Evaluation, Monitoring, Impact Assessment
1
Evaluation Approaches, Purposes & Frameworks
1
Evaluation Design & Implementation
1
Impact Assessment & Outcome Evaluation
1
People with Disabilities (General)
1
Local Ownership, Local Stakeholder Participation
1
Stakeholders, Stakeholder Analysis, Stakeholder Participation
1
Causal Analysis, Causal Chain Analysis
1
Qualitative Analysis
1
Quantitative Analysis
1
Questionnaires, Questionnaire Design
1
Theories of Change
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"Big data can contribute to the evidence base in development sectors where evaluations are often infeasible due to data issues. Given the rapidly increasing availability of big data and improving computation capacity, there is a great potential for using big data in future impact evaluations. Big da ... more
"Many systematic reviews are solely concerned with effectiveness or impact. While a review which tells you what works can help you decide what to do, it is of less use in telling you how to do it. Causal chain analysis-based systematic reviews, which analyse the working of a logic model or a theory ... more
"The framework for selecting appropriate methods of stakeholder engagement is presented here as five steps that can help people who are commissioning or conducting research or evaluations to orient themselves to their context, research purposes and, ultimately, options for stakeholder engagement. Th ... more
"This CEDIL Synthesis Working Paper is a report on the first of its kind country evaluation map for a single country. The map identifies 617 evaluations in multiple sectors in Uganda. Nearly 60 per cent of the studies contain process evaluation evidence and over 40 per cent are impact evaluations. T ... more
"The aim of this paper is to provide guidance on the evaluation of complex interventions in international development. Our contribution to the literature is threefold. First, unlike other reviews on the same subject, our focus is exclusively directed to evaluations of development interventions. Seco ... more
"These are simple recommendations on the inclusion of data on disability for researchers conducting evidence syntheses and primary studies." (Page 1)
"Middle-level theory (MLT) has several uses in development planning and evaluation. It helps predict whether a programme can be expected to work in a new setting. It offers insights into what design features are needed for success. IIt provides invaluable information for monitoring to see if the pro ... more
"Spatially and temporally relevant ‘big data’ that does not require data collection in the field has the potential to provide insights into people’s economic, social, behavioural and political lives, and hence could be used in measuring key development outcomes. Big data consists of humangener ... more
"The idea of using mixed methods has a long tradition in social research. But it is also recognized that mixed methods are often poorly applied. In quantitative analysis, the qualitative component, if any, is often poorly designed, integrated or reported. These guidelines are to support the design, ... more