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Review of key themes

Review of key themes. Module 1: Data analysis key concepts. Purpose of analysis is to provide answers to programmatic questions Descriptive analyses describe the sample/target population Descriptive analyses do not define causality – tell you what , not why

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Review of key themes

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  1. Review of key themes

  2. Module 1: Data analysis key concepts • Purpose of analysis is to provide answers to programmatic questions • Descriptive analyses describe the sample/target population • Descriptive analyses do not define causality – tell you what, not why • All data analysis does not require computers and software

  3. Module 2: Basic analyses • Target Setting –A specified level of performance for a measure (indicator) at a predetermined point in time. Both overall and annual targets are set • Coverage– Extent to which a program reaches its intended target population, institution, or geographic area • Retention– The extent to which the range of services are being delivered as initially intended

  4. Module 3: Data presentation & interpretation • Use the right graph for the right data • Tables – can display a large amount of data • Graphs/charts – visual, easier to detect patterns • Label the components of your graphic • Interpretingdataadds meaning by making connections and comparisons to program • Service data are good at tracking progress & identifying concerns – do not show causality

  5. MEASURE Evaluation is funded by the United States Agency for International Development (USAID) through Cooperative Agreement GHA-A-00-08-00003-00. The views expressed in this publication do not necessarily reflect the views of USAID or the United States government. Visit us online at http://www.cpc.unc.edu/measure.

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