How to Compute and Present Individual Change with Before and After Survey Data

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SKU G4152

Author(s) Vikram Koundinya

It is common practice for Extension educators to measure program effectiveness based on perceived changes in learners' knowledge, understanding, skill, attitude, perception, etc., from before and after a program. This publication builds on the individual change method discussed in Quick Tips #30 and uses Microsoft Excel to compute individual change and frequency distribution. With this method, each learner before and after responses are paired and can be matched to show individual change (4 pages; 2017).

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