ScholarGate
עוזר

השוואת שיטות

סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.

דגימת שכבות מבוססת-שטח×דגימת אשכולות×
תחוםמתודולוגיית סקריםמתודולוגיית סקרים
משפחהProcess / pipelineProcess / pipeline
שנת המקור1934 (Neyman's stratified sampling theory); field applications throughout 20th centuryEarly-to-mid 20th century; canonical treatment 1953/1977
הוגה השיטהJerzy Neyman (stratified sampling theory); applied broadly in field survey practiceFormalized by William G. Cochran; roots in early 20th-century U.S. Census Bureau survey practice
סוגProbability sampling designProbability sampling design
מקור מכונןCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407
כינוייםfield stratified sampling, stratified field survey sampling, in-field stratified sampling, field survey stratificationcluster random sampling, area sampling, one-stage cluster sampling
קשורות65
תקצירField-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.Cluster sampling is a probability sampling technique in which the population is divided into naturally occurring groups (clusters), a random sample of clusters is selected, and all — or a random subset of — members within each selected cluster are studied. It is especially practical when a complete population list is unavailable or when units are geographically dispersed, making individual random selection prohibitively expensive. One-stage cluster sampling surveys every member of selected clusters; two-stage designs add a second random draw within clusters.
ScholarGateמערך נתונים
  1. v1
  2. 2 מקורות
  3. PUBLISHED
  1. v1
  2. 2 מקורות
  3. PUBLISHED

מעבר לחיפוש הורדת מצגת

ScholarGateהשוואת שיטות: Field-based Stratified Sampling · Cluster Sampling. אוחזר בתאריך 2026-06-17 מתוך https://scholargate.app/he/compare