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Estimasi Populasi Tangkap-Ulang×Victimization Survey Method×
BidangMetodologi SurveiCriminology
KeluargaRegression modelProcess / pipeline
Tahun asal19781973
PencetusOtis, Burnham, White & AndersonU.S. President's Commission on Law Enforcement / NCVS and CSEW programs
TipeProbabilistic population size estimatorProbability-sample survey measuring crime victimization including unreported offenses
Sumber perintisOtis, D. L., Burnham, K. P., White, G. C., & Anderson, D. R. (1978). Statistical inference from capture data on closed animal populations. Wildlife Monographs, 62, 3–135. link ↗Lynch, J. P., & Addington, L. A. (Eds.) (2007). Understanding Crime Statistics: Revisiting the Divergence of the NCVS and UCR. Cambridge University Press. ISBN: 9780521862042
AliasMark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden YakalaCrime Victimization Survey, Victimisation Survey Method, Crime Survey Methodology, Self-Report Victimization Survey
Terkait23
RingkasanCapture-recapture (also known as mark-recapture) is a statistical method for estimating the size of an unknown population by sampling it twice and tracking which individuals appear in both samples. Formally systematized for closed animal populations by Otis, Burnham, White, and Anderson in their landmark 1978 Wildlife Monographs paper, the method extends naturally to human populations, epidemiology, and incomplete administrative records.The victimization survey method measures crime by asking a representative sample of households or individuals what they have actually experienced, rather than counting offenses recorded by police. Pioneered in the United States with the National Crime Victimization Survey (NCVS) and developed in Britain as the Crime Survey for England and Wales (CSEW), it captures the 'dark figure' of crime that never reaches the authorities, using a rotating-panel design with screening questions, detailed incident forms, bounding interviews, and weighted estimation.
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ScholarGateBandingkan metode: Capture-Recapture · Victimization Survey Method. Diakses 2026-06-25 dari https://scholargate.app/id/compare