পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| অসামঞ্জস্যপূর্ণ স্তরিত নমুনায়ন× | বহু-পর্যায় নমুনায়ন× | |
|---|---|---|
| ক্ষেত্র | জরিপ পদ্ধতি | জরিপ পদ্ধতি |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1934 | 1950s–1960s (formalized in Kish 1965 and Cochran 1977) |
| প্রবর্তক≠ | Jerzy Neyman | Leslie Kish; William G. Cochran |
| ধরন | Probability sampling design | Probability sampling design |
| মৌলিক উৎস≠ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495 |
| অপর নাম | disproportionate stratified sampling, unequal-probability stratified sampling, oversampling stratified design, non-proportional stratified sampling | multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling |
| সম্পর্কিত≠ | 6 | 5 |
| সারসংক্ষেপ≠ | Disproportional stratified sampling divides the population into mutually exclusive strata and deliberately draws different proportions from each stratum — oversampling small or analytically important subgroups and undersampling large ones. Post-hoc weighting restores population-level representativeness when overall estimates are needed. First formalised by Jerzy Neyman in 1934, it is the standard approach when subgroup-level precision matters as much as total-population estimates. | Multistage sampling is a probability-based design that selects a sample by working through two or more successive levels of a population hierarchy — for example, first selecting regions, then districts within those regions, then households within those districts. It makes large-scale surveys practical when a complete population list is unavailable or when the population is geographically dispersed, by concentrating fieldwork within a manageable number of sampled units at each stage. |
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