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Pensampelan Variasi Maksimum×Persampelan Berlapis×
BidangMetodologi TinjauanMetodologi Tinjauan
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)1977
PengasasLincoln & Guba; systematised by Michael Quinn PattonWilliam G. Cochran
JenisPurposive qualitative sampling strategyProbability-based survey sampling design
Sumber perintisPatton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Aliasmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Berkaitan52
RingkasanMaximum variation sampling is a purposive qualitative sampling strategy in which the researcher deliberately selects cases that span the widest possible range of variation on dimensions central to the study. The goal is not statistical representation but the identification of common patterns that cut across diverse cases as well as the documentation of the unique ways each context shapes the phenomenon under investigation.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.
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ScholarGateBandingkan kaedah: Maximum Variation Sampling · Stratified Sampling. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare