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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
    الموارد
  • Embedding evaluation in national plans and policies to foster transformative development

    This IIED Briefing Paper argues that meaningful evaluation of progress towards achieving sustainable development extends beyond supporting voluntary national reviews, and that for the full potential of evaluation to be realised, evaluation
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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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  • 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.
    المدونة
  • 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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  • 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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  • 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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  • 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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  • Multiple 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 ind
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  • Journals and logs

    Journals and logs are forms of record-keeping tools that can be used to capture information about activities, results, conditions, or personal perspectives on how change occurred over a period of time.
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  • Integrity

    Integrity refers to ensuring honesty, transparency, and adherence to ethical behaviour by all those involved in the evaluation process.
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  • Cultural competency

    Cultural competency involves ensuring that evaluators have the skills, knowledge, and experience necessary to work respectfully and safely in cultural contexts different from their own.
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  • Feasibility

    Feasibility refers to ensuring that an evaluation can be realistically and effectively implemented, considering factors such as practicality, resource use, and responsiveness to the programme's context, including factors such as culture and
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  • Inclusion of diverse perspectives

    Inclusion of diverse perspectives requires attention to ensure that marginalised people and communities are adequately engaged in the evaluation.
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  • Independence

    Independence can include organisational independence, where an evaluator or evaluation team can independently set a work plan and finalise reports without undue interference, and behavioural independence, where evaluators can conduct and re
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  • Evaluation accountability

    Evaluation accountability relates to processes in place to ensure the evaluation is carried out transparently and to a high-quality standard.
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  • Transferability

    Transferability involves presenting findings in a way that they can be applied in other contexts or settings, considering the local culture and context to enhance the utility and reach of evaluation insights.
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  • Utility

    Utility standards are intended to increase the extent to which program stakeholders find evaluation processes and products valuable in meeting their needs.
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  • Professionalism

    Professionalism within evaluation is largely understood in terms of high levels of competence and ethical practice.
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  • Propriety

    Propriety refers to ensuring that an evaluation will be conducted legally, ethically, and with due regard for the welfare of those involved in it and those affected by its results.
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  • Systematic inquiry

    Systematic inquiry involves thorough, methodical, contextually relevant and empirical inquiry into evaluation questions. Systematic inquiry is one of the guiding principles of the American Evaluation Association:
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  • Transparency

    Transparency refers to the evaluation processes and conclusions being able to be scrutinised.
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  • Ethical practice

    Ethical practice in evaluation can be understood in terms of designing and conducting an evaluation to minimise any potential for harm and to maximise the value of the evaluation.
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  • Accuracy

    Accuracy refers to the correctness of the evidence and conclusions in an evaluation. It may have an implication of precision.
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