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Cited by 1,467

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Qualitative Data Analysis

Goodrick, Delwyn, Rogers, Patricia J.·2015·Handbook of Practical Program Evaluation

Abstract

This chapter provides an overview of four different ways to analyze qualitative data and provides advice about how to choose methods of analysis that address the purpose of the evaluation. Qualitative data analysis often involves sorting data into categories and labeling the categories. These categories are sometimes referred to as codes, nodes, or tags. The chapter talks about different ways of coding data that suit the type of analysis being undertaken. It argues that decisions about analytic techniques be considered early in an evaluation, and that these decisions will be informed by a range of practical considerations, such as audience, time and resource constraints, and the type of data available. The chapter presents a typology of purposes and outlines an example of a key analysis method for each purpose. The overview of quality criteria for assessing and strengthening data analysis builds on substantive guidance provided by the program evaluation standards.

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Metadata

Authors
Goodrick, D., & Rogers, P. J.
Venue
Handbook of Practical Program Evaluation
Publisher
Wiley
Published
2015-08-10
Pages
561-595
OpenAlex
W2163570416
Cited by
1,467
References
6
Type
other
Language
en
Open access
closed

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CoChat. (2026). Citation check: Qualitative Data Analysis. https://app.cochat.ai/papers/10.1002/9781119171386.ch22
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Goodrick, D., & Rogers, P. J. (2015). Qualitative Data Analysis. Handbook of Practical Program Evaluation. https://doi.org/10.1002/9781119171386.ch22

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.