পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বহু-স্তরীয় সর্বোচ্চ বৈচিত্র্য নমুনায়ন (Multi-level Maximum Variation Sampling)× | উদ্দেশ্যমূলক নমুনায়ন× | |
|---|---|---|
| ক্ষেত্র | জরিপ পদ্ধতি | জরিপ পদ্ধতি |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1990s–2000s | Formalized ~1980–1990 |
| প্রবর্তক≠ | Synthesized from Patton's maximum variation sampling (1990) and multi-level survey design traditions | Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry |
| ধরন≠ | Purposive qualitative/mixed-methods sampling design | Non-probability sampling strategy |
| মৌলিক উৎস≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Chapter 5: Maximum variation sampling and purposeful sampling strategies] ISBN: 978-0761919711 | Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796 |
| অপর নাম | hierarchical maximum variation sampling, nested maximum diversity sampling, multi-tier purposive variation sampling, MLMVS | judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling |
| সম্পর্কিত≠ | 5 | 4 |
| সারসংক্ষেপ≠ | Multi-level maximum variation sampling is a purposive strategy that deliberately selects cases at two or more nested organizational levels — such as schools within districts, or patients within clinics — while maximizing heterogeneity on key dimensions at each level. The aim is to capture the full range of variation within a hierarchically structured population so that patterns common across diverse contexts can be identified and context-specific differences can be documented with credibility. | 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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