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  • Sampling - Yale University

    This course paper defines three different simplified sampling options.Contents Simple random sampling Stratified random sampling Multistage random sampling
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  • UNICEF: Statistics and Monitoring

    In collaboration with a wide range of partners, UNICEF gathers evidence on the situation of children and women around the world.
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  • What is a LogFrame?

    American University's resource What is a LogFrame, written by Kirsten Bording Collins, gives a concise overview of LogFrames. It covers LogFrame structures, tips for developing LogFrames, and strengths and weaknesses of LogFrames.
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  • WISE: Web Interface for Statistics Education

    WISE's website organises a large amount of statistics resources available on the web into one central place.
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  • Excel for evaluation

    This website, created by Ann Emery, provides a series of short videos on using Microsoft Excel to analyze data.
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  • The analysis of covariance (ANCOVA)

    This slide show provides an overview of this option and lists the advantages and disadvantages of its use. There are also a number of examples of covariance and linear regression equations. 
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  • Adapting 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.
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  • L’évaluation en contexte de développement

    Ce manuel est destiné aux personnes souhaitant s’initier à l’évaluation de programmes, en particulier en contexte de développement et de coopération internationale. À cet égard, tout en déroulant le fil d’une démarche évaluative classique, il présente…
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  • Guidance on using the revised logical framework

    This guide from the UK Department of International Development (DFID) aims to help project managers/evaluators make the best use of logical framework (logframe) in designing and managing projects.
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  • Descriptive and multivariate statistics

    In this chapter from Exploring Crime Analysis Readings on Essential Skills, the key principles of descriptive and multivariate statistics are demonstrated so as to provide practitioners with the basic
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  • Logframe

    Logframes are a systematic, visual approach to designing, executing and assessing projects which encourages users to consider the relationships between available resources, planned activities, and desired changes or results.
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  • Sampling for surveys: Stratified random sampling

    These instructional videos provide a guide and examples of how to apply stratified random sampling.
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  • Sampling for surveys: Clustered random sampling

    These instructional videos provide a guide and examples of how to apply clustered random sampling.
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  • Sampling for surveys: Sample size calculations

    This instructional video explains how to calculate a sample size for a survey.
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  • Who counts? The power of participatory statistics

    This workshop by Jeremy Holland for the Institute of Development Studies was streamed live on May 1st, 2014.
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  • Critical study of the logical framework approach in the Basque Country

    This document describes how the logical framework is used by public entities in the Basque region of Spain, its evolution, and its relationship with other approaches and tools.
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  • Frequency distribution tables

    This webpage from Statistics Canada demonstrates how to construct four different types of frequency distribution tables. Each example comes with clear instructions and a detailed example of the final product.
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  • Sampling 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.
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  • 6: Sample size and power calculations

    This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defendable.
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  • Causal link monitoring

    Causal Link Monitoring (CLM) is an evaluation approach that combines implementation design and monitoring to support adaptive management of projects, helping project planners and managers to identify processes needed to achieve desired outcomes.
    Approach
  • Iterative design and monitoring for adaptive management: How causal link monitoring can help

    Development actors are embracing the concept and practice of adaptive management, using evidence to inform ongoing revisions throughout implementation.
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  • A summary of the theory behind the LFA method

    This paper from the Swedish International Development Cooperation Agency (Sida) has been designed to support staff in implementing the logical framework approach in project planning and design.
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  • Discussion note: Complexity aware monitoring

    USAID’s Office of Learning, Evaluation and Research (LER) has produced a Discussion Note: Complexity-Aware Monitoring, intended for those seeking cutting-edge solutions to monitoring complex aspects of strategies and projects.  
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  • Causal Pathways introductory session: Causal link monitoring

    This session of the Causal Pathways Symposium 2023, by Heather Britt, introduced causal link monitoring, a method for integrating monitoring data and evaluation in order to address causality amid complexity.
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  • Causal link monitoring brief

    Causal Link Monitoring (CLM) integrates design and monitoring to support adaptive management of projects.
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  • Causal Pathways 2023 Symposium and 2024 introductory sessions

    This series of webinars was first presented at the Causal Pathways Symposium 2023, which focused on "connecting, learning, and building a shared understanding of the evaluation and participatory practices that make causal pathways more visible"
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