Process / pipelineSampling
Purposive Sampling — Criterion-Based Case Selection
Purposive sampling is a non-probability strategy in which the researcher deliberately selects participants, documents, or cases that are information-rich with respect to the research question. Rather than drawing units at random, the researcher applies explicit criteria aligned with the study's purpose, maximising the depth and relevance of the data collected. It is the default sampling logic in most qualitative research designs and is also used in mixed-methods and applied evaluative work.
Find Topic with PaperMindSoonVideoSoon
Read the full method
Members only
Sign inSign in with a free account to read this section.
Sources
- Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
- Creswell, J. W. (2007). Qualitative Inquiry and Research Design: Choosing Among Five Approaches (2nd ed.). Sage. ISBN: 978-1412916073
Related methods
Referenced by
Adaptive Maximum Variation SamplingAdaptive Purposive SamplingAdaptive Snowball SamplingDeviant Case SamplingField-based convenience samplingField-based Deviant Case SamplingField-based maximum variation samplingField-based Snowball SamplingField-based theoretical samplingField-based typical case samplingMaximum Variation SamplingMulti-level Convenience SamplingMulti-level Maximum Variation SamplingMulti-level Purposive SamplingMulti-level Typical Case SamplingOnline convenience samplingOnline Purposive SamplingOnline theoretical samplingPilot Deviant Case SamplingPilot Theoretical SamplingProportional Convenience SamplingProportional Purposive SamplingQuota SamplingSensitivity Analysis-Based Purposive SamplingSimple random samplingSnowball SamplingTypical Case SamplingWeighted Snowball SamplingWeighted Typical Case Sampling