قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| المعاينة النظرية التجريبية× | العينة القصدية× | |
|---|---|---|
| المجال | منهجية المسح | منهجية المسح |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 1967 (theoretical sampling origin); compound practice formalized in qualitative methodology literature | Formalized ~1980–1990 |
| صاحب الطريقة≠ | Glaser & Strauss (theoretical sampling); pilot study concept is longstanding in research methodology | Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry |
| النوع≠ | Qualitative sampling strategy with pilot phase | Non-probability sampling strategy |
| المصدر التأسيسي≠ | Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302607 | Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796 |
| الأسماء البديلة≠ | pilot-phase theoretical sampling, exploratory theoretical sampling, preliminary theoretical sampling | judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling |
| ذات صلة≠ | 3 | 4 |
| الملخص≠ | Pilot theoretical sampling applies the logic of theoretical sampling — selecting participants based on emerging concepts and theory — within a deliberate pilot or preliminary phase of a study. Rather than committing immediately to a full sampling strategy, the researcher conducts a small initial round of data collection and analysis to test whether theoretical sampling is feasible, to refine the sensitizing concepts guiding participant selection, and to identify whether the field is productive before full-scale data collection begins. | 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. |
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