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M&E Core Module Descriptions
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| Introduction to Monitoring and Evaluation | | This module establishes the scope of the course and introduces the historical context of monitoring and evaluation (M&E). Definitions of M&E as well as their complementary functions in the typical project/program cycle are explained. | «Back to WBIEG Training | |  |
| | Logic Models and Evaluation Questions | | Models (also referred to as logic models, program logic models or results chains) are graphic representations of project/program components that help one to visualize the relationships among these components and their anticipated effects. In this module, participants learn how to develop logic models and the importance of linking the components: inputs, activities, outputs, outcomes, and impacts. This session also covers the importance of using models in the development of key evaluation questions. The module underscores the value of articulating results that a project/program intends to achieve. In later modules, participants learn more about how to demonstrate the achievement of results. | «Back to WBIEG Training | |  |
| | Indicators and Measurement | | This session builds on the previous module, demonstrating how indicators and measurement strategies are connected to logic models. Participants conceptualize, identify, and select appropriate indicators to measure results. The processes and criteria for the selection of reliable, valid, and relevant indicators and measurement strategies are introduced and examined. Examples of indicators and measurement strategies will be provided for a range of sectors (e.g., health, education, infrastructure, public services) that are relevant to participants attending the course. | «Back to WBIEG Training | |  |
| | Research Designs | | In this module we introduce common evaluation designs, both quantitative and qualitative, and how each design answers particular evaluation questions. Validity issues, counterfactuals, attribution concerns, and other critical aspects of evaluation design are explained. Strengths and weaknesses of evaluation designs, including experimental and quasi-experimental, are examined and discussed. | «Back to WBIEG Training | |  |
| | Data Collection | | We cover a number of quantitative, qualitative, and mixed-method data-collection strategies in this module. Discussions will include the strengths and weaknesses of each method and how different approaches of certain methods can complement the weaknesses of others. The module also highlights sociocultural and other factors that evaluators should observe in data collection. | «Back to WBIEG Training | |  |
| | Reconstructing Baseline Data | | A common evaluation problem is that required baseline data for a project/program were either not collected or not collected at the appropriate time. There are options to reconstruct baseline data, however, which this module discusses. Major data-collection methods (e.g., using secondary data, project administrative records, recall, and key informants) to reconstruct baseline data are introduced as are the strengths and weaknesses of each strategy. | «Back to WBIEG Training | |  |
| | Sampling | | This module introduces random and nonrandom sampling methods. For random sampling, attention is devoted to how participants can generalize to a large population from a sample using confidence levels and margins of error. Techniques of nonrandom sampling are also introduced. | «Back to WBIEG Training | |  |
| | Data Analysis | | This module describes quantitative, qualitative, and mixed-method data analysis approaches. We discuss quantitative data analysis, which includes descriptive statistics, associational statistics, and inferential statistics. Strategies and steps of qualitative and mixed-method data analysis are detailed, including how to quantify qualitative data. We discuss common errors in interpreting data and how to analyze data from different perspectives. Participants will use Excel to conduct quantitative data analyses and to generate and interpret common descriptive statistics that are useful to project/program teams. Participants will also gain experience using inductive and deductive qualitative data analysis methods, with a featured content analysis exercise. | «Back to WBIEG Training | |  |
| | The Practice of Impact Evaluation | | This module introduces different approaches to impact evaluation, which typically emphasizes quantitative methods with randomization and comparison of treatment and control groups. This module introduces the most important technical details of these methods. The module emphasizes the pros and cons of employing these methods. It provides participants with critical questions to pose when not only considering the use of rigorous impact evaluations, but also when deciding what impact evaluation approach to use. | «Back to WBIEG Training | |  |
| | Reporting Results and Utilization of Evaluations | | This session addresses effectiveness in reporting results for optimal stakeholder utilization of evaluation findings. We cover different communication options, from oral presentations to using effective charts and tables in reports. The module also provides tips on how to report key information and lessons learned to different evaluation consumers for maximum utilization. | «Back to WBIEG Training | |  |
| | Managing Monitoring and Evaluation Functions | | This module lays out what a manager should consider in managing M&E functions. Topics include the formation and management of evaluation teams, selection of evaluation consultants, and how to overcome budget, time, data and political constraints. The module also provides an overview and tips on preparing terms of reference for evaluations and how to select the most appropriate M&E specialists for diverse projects. Finally, the module exposes participants to ethical issues of evaluation such as the confidential treatment of data, obtaining informed consent from data respondents, and considerations for selecting data collectors. Extensive handouts are provided. | «Back to WBIEG Training | |  |
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