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Filter search resultsSampling - Yale University
This course paper defines three different simplified sampling options.Contents Simple random sampling Stratified random sampling Multistage random samplingResourceCo-producing policy recommendations: Lessons from a DEGRP project in Uganda
This report by DFID-ESRC Growth Research Programme (DEGRP) describes in detail how the researchers turned findings into recommendations, and how the various stages of stakeholder consultation influenced different elements of the projecResourceInclusive systemic evaluation for gender equality, environments and marginalized voices (ISE4GEMs): A new approach for the SDG era
This UN Women Independent Evaluation Service guide on the Inclusive Systemic Evaluation for Gender equality, Environments and Marginalized voices (ISE4GEMs) approach brings together innovative systemic evaluation practice with intersecResourceWebinar: Challenges that Complexity Poses for Monitoring and Evaluation and Systemic Thinking as a Means to Cope
This webinar by Ricardo Wilson-Grau for the Systems and Peace: Emerging Frontiers Webinar Series, explores thResourceSystemic thinking for monitoring: Attending to interrelationships, perspectives, and boundaries
This discussion note from USAID presents "attending to interrelationships, multiple perspectives, and boundaries" as a key principle underlying complexity-aware monitoring.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.BlogAdapting evaluation in the time of COVID-19 – Part 4: Describe
We’re continuing our series, sharing ideas and resources on ways of ensuring that evaluation adequately responds to the new challenges during the pandemic.BlogDemystifying systemic thinking for evaluation in post-normal times
When you suggest to someone that you’re interested in using systems thinking in your project, you’ll often hear “we tried that once…” or “I like the idea of it but I’m not really sure how I would apply it” or “I get what itBlogSampling for surveys: Stratified random sampling
These instructional videos provide a guide and examples of how to apply stratified random sampling.ResourceSampling for surveys: Clustered random sampling
These instructional videos provide a guide and examples of how to apply clustered random sampling.ResourceSampling for surveys: Sample size calculations
This instructional video explains how to calculate a sample size for a survey.ResourceSampling for surveys: Simple random sampling
These instructional videos introduce the topic of sampling for surveys and provide a guide and examples of how to apply simple random sampling.ResourceStakeholder engagement toolkit
This toolkit, developed by the Victorian Department of Health and Human Services, provides a step-by-step guide to developing and implementing a successful stakeholder engagement plan.Resource6: Sample size and power calculations
This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defendable.ResourceMaking evaluations matter: A practical guide for evaluators
This guide, written by Cecile Kusters with Simone van Vugt, Seerp Wigboldus, Bob Williams and Jim Woodhill for the Centre for Development Innovation, presents a framework for planning and managing an evaluation with a focus oResourceIntroduction: Contribution, causality, context, and contingency when evaluating inclusive business programmes
This IDS Bulletin discusses approaches and methods for meaningful impact evaluation, building on real-world experiences with theory-based evaluation in inclusive business programmes.Resource