Cooperative Extension professionals utilize proven qualitative techniques to collect and analyze information to make data-driven decisions that guide program direction and determine impact. While the process may not always look the same, it is indeed essential to ensure findings are credible and reflective of the data. A codebook is a valuable tool that promotes interrater reliability among teams and enhances the reliability of findings. This article provides an overview of the process used to analyze qualitative data and the steps followed to create a codebook. Examples of the analysis process and codebook development are provided from the 4-H multi-state Youth Retention Study.

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Creative Commons Attribution-Noncommercial 4.0 License
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