পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ক্ষেত্র-ভিত্তিক স্তরবিন্যাসিত নমুনায়ন× | আনুপাতিক স্তরিত নমুনায়ন× | |
|---|---|---|
| ক্ষেত্র | জরিপ পদ্ধতি | জরিপ পদ্ধতি |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1934 (Neyman's stratified sampling theory); field applications throughout 20th century | 1953–1965 (formalized in survey sampling literature) |
| প্রবর্তক≠ | Jerzy Neyman (stratified sampling theory); applied broadly in field survey practice | William G. Cochran; Leslie Kish |
| ধরন | Probability sampling design | Probability sampling design |
| মৌলিক উৎস | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| অপর নাম | field stratified sampling, stratified field survey sampling, in-field stratified sampling, field survey stratification | proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling |
| সম্পর্কিত | 6 | 6 |
| সারসংক্ষেপ≠ | Field-based stratified sampling divides a geographically dispersed or heterogeneous target population into internally homogeneous subgroups (strata) defined by features observable in the field — such as land use type, habitat zone, administrative district, or community category — and then independently draws random samples from each stratum during on-site data collection. The approach combines the precision gains of stratification with the logistical realities of fieldwork, ensuring that every identifiable subgroup of the landscape or community is represented in the final data set. | Proportional stratified sampling divides the target population into non-overlapping strata (subgroups defined by a key characteristic such as age band, region, or gender) and then draws a simple random sample from each stratum so that each stratum's share of the total sample matches its share of the total population. Because each subgroup is represented in exact proportion to its population weight, the resulting sample mirrors the population structure closely without requiring post-hoc weighting adjustments. |
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