Tracking opinion over time: a method for reducing sampling error.

Across a wide range of applications, the Kalman filtering and smoothing algorithm provides survey researchers with a single, systematic technique by which to generate four kinds of useful information. First, it enables survey analysts to differentiate between random sampling error and true opinion...

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Bibliographic Details

Published in:	Public Opinion Quarterly Vol. 63; no. 2; pp. 178 - 193
Main Authors:	Green, Donald P., Gerber, Alan S., De Boef, Suzanna
Format:	Article
Published:	Oxford University Press / UK Summer 1999
Subjects:	Statistical sampling Error analysis in mathematics Kalman filtering Statistical smoothing Social surveys > Methodology Public opinion polls United States
Online Access:	View this record in EBSCOhost