JSM 2005 Online Program

Abstract #303963

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:	329
Type:	Contributed
Date/Time:	Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Survey Research Methods
Abstract - #303963
Title:	Comments on Weighted and Unweighted Response Rates
Author(s):	Frank Potter*+
Companies:	Mathematica Policy Research, Inc.
Address:	PO Box 2393, Princeton, NJ, 08543, United States
Keywords:	Response Rates ; Nonresponse Bias ; Survey Quality
Abstract:	Response rates are measures of the "potential" for nonresponse bias and of the quality of a survey. High response rates imply a smaller potential for nonresponse bias and better survey quality than lower response rates. Various response rate algorithms are in the literature (Lessler and Kalsbeek 1992, AAPOR 2000). Response rates can be dichotomized into unweighted or weighted response rates. Unweighted response rates generally measure the proportion of the sample that resulted in useable information for analysis. Weighted response rates can be used to estimate the proportion of the survey population for which useable information is available. In some instances, the two response rates can result in identical values (if a sample is selected with equal probability). The two response rates may result in different values if a sample is selected with different selection probabilities (for example, oversampling or undersampling specific subpopulations). Unweighted and weighted response rates can be considered as distinct measures for evaluating the quality of a survey and may be useful in different situations and for different survey designs.

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