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Data Management and Analysis for M&E in Development Programmes Course

Statistics are a mainstay in the toolkit of program and policy evaluators. If evaluators are going to make sensible use of consultants reports, communicate effectively with funders, and understand others' evaluation reports, then they often need at least a conceptual understanding of relatively complex, recently developed statistical techniques.
The purposes of this course are: to link common evaluation questions with appropriate statistical procedures; to offer a strong conceptual grounding in several important statistical procedures; and to describe how to interpret the results from the statistics in ways that are principled and will be persuasive to intended audiences and to equip those working in governments, funding agencies, and research and non-government organisations to understand, critique and make effective use of evidence from quantitative evaluation studies.

5 Days

At the end if this training, participants should be able to:
• Understand both random and non-random sampling methods and their use in the M&E Context
• Establish or reconstruct a baseline and assess your project’s/program’s impact.
• Use current data collection technologies such as Social Media analytics and Mobile Data Gathering.
• Understand and Use data analysis software package (STATA).
• Understand a theory of causal inference that covers both random assignment and observational studies, including quasi-experimental and non-experimental studies
• Identify the assumptions needed to infer causality in evaluations
• Describe, compare and contrast six, promising alternatives to random assignment studies for inferring causality, including the requirements for implementing these designs, the strengths and weaknesses of each, and examples from evaluations where these designs have been applied.
• Understand the various Statistical method for monitoring and impact evaluation
• Use Geographic Information Systems (GIS) and GPS to gather data, collaborate and share information.
• Communicate findings to stimulate learning and reflection.

Organisation Indepth Research Services

Country: Kenya