JSM 2005 Online Program

Abstract #302869

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	489
Type:	Contributed
Date/Time:	Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor:	General Methodology
Abstract - #302869
Title:	Model-Assisted Imputation Strategies for the Longitudinal Survey of Immigrants to Canada: Wave 2 Imputation and Validation of Wave 1 Imputation Model
Author(s):	Asma Alavi*+
Companies:	Statistics Canada
Address:	198B Woodridge Crescent, Ottawa, ON, K2B 7S9, Canada
Keywords:	Longitudinal Surveys ; nearest-neighbour imputation ; model-assisted imputation
Abstract:	The Longitudinal Survey of immigrants to Canada (LSIC) is designed to understand the process of adaptation to Canadian society by recent immigrants and to recognize the factors that aid or impede the immigrants' efforts in doing so. As with most surveys, LSIC faces nonresponse---either full or partial. In LSIC, partial nonresponse is dealt with through imputation. The idea is to impute the data that are consistent and that would not distort the distributions of the variables being imputed. In Wave 1 of the LSIC, the imputation was done by employing the nearest-neighbor imputation method. A score function was developed based on variables available for both complete and partial respondents and estimated probability of response from the imputation model. A complete respondent with highest score was chosen as the donor. In the case of multiple donors, a donor was selected at random. In this paper, I will discuss the imputation details after Wave 2 data collection for the LSIC. I also will describe a qualitative study based on the records imputed in Wave 1 but which had full response in Wave 2.

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