Review of key themes.  Purpose of analysis is to provide answers to programmatic questions  Descriptive analyses describe the sample/target population.

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Presentation transcript:

Review of key themes

 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 Module 1: Data analysis key concepts

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

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  Interpreting data adds meaning by making connections and comparisons to program  Service data are good at tracking progress & identifying concerns – do not show causality

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