A Mean Squared Error Model for Dual Frame, Mixed Mode Survey Design
作者:
JamesM. Lepkowski,
RobertM. Groves,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1986)
卷期:
Volume 81,
issue 396
页码: 930-937
ISSN:0162-1459
年代: 1986
DOI:10.1080/01621459.1986.10478352
出版商: Taylor & Francis Group
关键词: Bias;Cost model;Nonsampling error;Optimal allocation;Total survey design
数据来源: Taylor
摘要:
An error model for dual frame survey designs is developed. It includes components of error for sampling variance, interviewer variance, and bias in each frame. A cost model that attempts to capture the complexity of a full scale dual frame survey is presented. The error and cost models are applied to a large national survey, the National Crime Survey, and the effect that alternative levels of bias in both frames have on the optimal allocation of sample to the two frames is examined for two types of crime.
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