Evaluation Learning Portal

Discover evaluation basics and dive into methods, processes and good practices

The Evaluation Learning Portal serves as a knowledge sharing platform for the CAP evaluation community and anyone interested in exploring the complexities of conducting evaluations. It offers information on various evaluation processes, such as ex ante and ex post evaluation, introduces selected evaluation topics like AKIS and LEADER, and provides an inventory of evaluation methods.

Each topic within the Evaluation Learning Portal may include:

  • Basics on the background, definitions and key concepts related to the topic.
  • Learning from practice demonstrating real world cases and experiences from Member States
  • Training materials aimed at enhancing understanding and skills.
  • Further reading covering various aspects of monitoring and evaluation.

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Evaluation processes

What are the basics of evaluations? How are evaluations for CAP Strategic Plans planned? How to deal with data management for evaluation?

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Evaluation topics

How is LEADER added value assessed? How is the AKIS strategic approach evaluated? How are CAP results and impacts assessed?

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Evaluation methods

What are the recommended qualitative and quantitative methods used for CAP evaluations? Under what conditions can they be applied?

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Evaluation processes

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Evaluation processes cover the entire cycle from planning to managing evaluations, including stakeholder capacity building and preparing for ex ante and ex post assessments. It also entails conducting evaluations throughout the programming period and effectively communicating their outcomes.

Evaluation basics

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Ex post evaluation

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Planning evaluations

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Evaluation topics

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Evaluations can be executed either as comprehensive assessments, which appraise the achievements of the entire CAP Strategic Plan, or as thematic evaluations. The latter are more focused, concentrating specific topics of interest to the stakeholders involved in the evaluation.

Assessing CAP income support instruments

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Evaluation of LEADER and LEADER added value

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Evaluation methods

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Evaluation methods are techniques and tools for collecting and analysing data and information to describe, explain or predict the relevance of an intervention to the needs it seeks to address, the coherence between its constituents and with other programmes, and its effectiveness and efficiency in achieving the corresponding policy objectives.

No single method can be used to address all the tasks implied in this description. Based on the scope of each evaluation, different methods may be needed to reach judgments that are as robust as possible to support solid policy recommendations. Having an adequate understanding of what each method is, its advantages and disadvantages, and under which conditions and how it can be applied may help evaluation stakeholders select the methods that are suitable for each evaluation.

Evaluation methods can be qualitative, quantitative or combinations of the two (mixed methods). Qualitative methods tend to focus less on numbers and collect and analyse information about how individuals make sense of their experiences, in their own minds, and in their own words.

Quantitative methods collect and analyse numerical data to summarise, calculate averages, find patterns, make predictions and test causal associations, as well as generalise results to wider populations.

Data collection methods

Case studies

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Focus groups

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Surveys

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Qualitative or mixed methods

Actor-network analysis

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Contribution analysis

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Knowledge mapping

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Method for impact assessment of programmes and projects (MAPP)

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Most Significant Change

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Outcome mapping

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Qualitative approaches: rapid appraisal of agricultural innovation systems (RAAIS)

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Social network analysis

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Stakeholder mapping

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Theory-based approaches

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Visualised AKIS mapping

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Quantitative quasi-experimental methods

Difference in differences

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Difference in differences with propensity score matching

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Generalised propensity score methods

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Instrumental variables

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Modelling approaches

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Naive comparisons

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Propensity score matching

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Regression discontinuity

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