Bandingkan kaedah

	Pensampelan Berstrata Berwajaran	Pensampelan Berperingkat
Bidang	Metodologi Tinjauan	Metodologi Tinjauan
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	1953–1965	1950s–1960s (formalized in Kish 1965 and Cochran 1977)
Pengasas	Leslie Kish; William G. Cochran	Leslie Kish; William G. Cochran
Jenis	Probability sampling with weighting	Probability sampling design
Sumber perintis	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
Alias	stratified sampling with weights, design-weighted stratified sampling, post-stratification weighting, WSS	multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling
Berkaitan	6	5
Ringkasan	Weighted stratified sampling divides a population into non-overlapping strata and draws a probability sample from each stratum, then attaches a design weight to every selected unit so that estimates correctly represent the full population. Weights compensate for unequal selection probabilities that arise from disproportionate stratum allocations, non-response, or frame imperfections, making the procedure the backbone of most large-scale national and international surveys.	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.