Abstract #300198

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JSM 2003 Abstract #300198
Activity Number: 443
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #300198
Title: A Nonresponse Adjustment Strategy Using Modeling in the Canadian Labour Force Survey
Author(s): Asma Alavi*+ and Jean-Francois Beaumont
Companies: Statistics Canada and Statistics Canada
Address: 198-B Woodridge Crescent, Ottawa, Ontario, , K2B 7S9, Canada
Keywords: nonresponse ; sample survey ; logistic regression ; reweighting ; nonresponse adjustment
Abstract:

Despite good sampling design and surveyors' best efforts to avoid nonresponse in a large-scale survey, it is an inevitable part of survey sampling. To offset the effects of nonresponse, reweighting of respondents is done to compensate the nonresponding part of the sample. The most common way of reweighting is to make nonresponse adjustment classes based on design variables and to calculate a nonresponse adjustment factor. Our approach uses logistic regression modeling to form nonresponse adjustment classes. We model the sampled households on contact information, such as the number of attempts to contact a sampling unit, and time of the contact along with the design information. The results show significant improvement over the current method used in Canadian Labour Force Survey, in terms of several diagnostics. We will also be investigating the effect of modeling the probability of being contacted separately from the probability of response given a contact. With that approach, the final response probability is obtained as the product of the probabilities resulting from the two models. A comaprison with the traditional model will be made.

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