เปรียบเทียบวิธี

	การสุ่มตัวอย่างแบบแบ่งชั้นตามพื้นที่	การสุ่มแบบแบ่งชั้น
สาขาวิชา	ระเบียบวิธีสำรวจ	ระเบียบวิธีสำรวจ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1934 (Neyman's stratified sampling theory); field applications throughout 20th century	1977
ผู้ริเริ่ม	Jerzy Neyman (stratified sampling theory); applied broadly in field survey practice	William G. Cochran
ประเภท	Probability sampling design	Probability-based survey sampling design
แหล่งต้นตำรับ	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
ชื่อเรียกอื่น	field stratified sampling, stratified field survey sampling, in-field stratified sampling, field survey stratification	Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
ที่เกี่ยวข้อง	6	2
สรุป	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.	Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics.