পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| অভিযোজিত কোটা স্যাম্পলিং× | অভিযোজিত স্তরবিন্যস্ত নমুনাচয়ন (Adaptive Stratified Sampling)× | |
|---|---|---|
| ক্ষেত্র | জরিপ পদ্ধতি | জরিপ পদ্ধতি |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 2000s (adaptive extension of quota principles) | 1990s (formal development from Thompson 1990 onward) |
| প্রবর্তক≠ | Grounded in quota sampling (Quota sampling formalized early 20th century); adaptive extensions developed within responsive survey design frameworks (Groves & Heeringa, 2006) | Steven K. Thompson (adaptive sampling); allocation adaptations by Salehi, Seber, and others |
| ধরন≠ | Non-probability sampling with adaptive control | Probability-based adaptive sampling design |
| মৌলিক উৎস≠ | Groves, R. M., & Heeringa, S. G. (2006). Responsive design for household surveys: Tools for actively controlling survey errors and costs. Journal of the Royal Statistical Society: Series A, 169(3), 439–457. DOI ↗ | Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. DOI ↗ |
| অপর নাম≠ | responsive quota sampling, dynamic quota sampling, iterative quota sampling | ASS, adaptive stratified design, stratified adaptive sampling, adaptive allocation stratified sampling |
| সম্পর্কিত≠ | 3 | 6 |
| সারসংক্ষেপ≠ | Adaptive quota sampling is a non-probability sampling approach that starts with predefined demographic or characteristic-based quotas and then adjusts those quotas during data collection in response to emerging response patterns, nonresponse trends, or representativeness concerns. By treating the sampling process as iterative rather than fixed, it allows researchers to correct imbalances in real time and improve the final sample composition without restarting data collection from scratch. | Adaptive stratified sampling divides the population into strata and then applies an adaptive rule within each stratum: whenever an initially selected unit satisfies a pre-specified condition (e.g., a rare species is found, a variable exceeds a threshold), neighboring or related units are added to the sample. This combines the variance-reduction power of stratification with the ability to concentrate sampling effort where the phenomenon of interest is actually present. |
| ScholarGateডেটাসেট ↗ |
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