Chapter 8: Qualitative Evaluation Methods

Chapter 8, “Qualitative Evaluation Methods,” presents the rationale for choosing to gather nonnumerical information relevant to the program, especially noting that, in some cases, the particular time demands for the evaluation make qualitative methods appropriate, as does the emphasis on learning information about the program or about how to improve the program when such information cannot be accurately anticipated. Individual interviews, as one of the most common approaches, are described in greater detail. Other methods are also described, and the recommendation is made that the use of qualitative methods in conjunction with quantitative methods strengthens most evaluations. A case study illustrating the appropriate use of qualitative methods to understand challenges in a police department provides a fitting and informative example.

1

Online Resources

A few Online Resources regarding Qualitative analyses

https://www.cdc.gov/healthyyouth/evaluation/pdf/brief19.pdf
A two-page summary of important element of qualitative data analysis.

https://getthematic.com/insights/qualitative-data-analysis/
The site is primarily aimed at persuading readers to buy their product, but it presents a good description of important steps in qualitative data analysis. Although many evaluators approach qualitative data analysis on their own, more rigorous analyses can benefit from one of the many software packages available online.

https://www.sagepub.com/sites/default/files/upm-binaries/43454_10.pdf
A helpful book chapter on Qualitative Data Analysis from “Investigating the Social World: The Process and Practice of Research” by Russell K. Schutt.

https://cirt.gcu.edu/research/developmentresources/research_ready/quantresearch/overview_quant
This is an overview of quantitative methods with a video of a PowerPoint presentation about quantitative, qualitative, and mixed methods.

http://libguides.usc.edu/writingguide/quantitative
This library resource provides guidance for writing about findings from quantitative analyses.