JSM 2005 - Toronto

Abstract #304029

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 365
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #304029
Title: Combining Information from Multiple Modes to Evaluate and Reduce Nonresponse Bias
Author(s): Mick Couper*+ and Andy Peytchev and Roderick J. Little and Victor Strecher and Kendra Rothert
Companies: University of Michigan and University of Michigan and University of Michigan and University of Michigan and Kaiser Permanente
Address: 3193 Lakewood Drive, Ann Arbor, MI, 48103, United States
Keywords: Survey nonresponse ; Web survey ; Nonresponse bias

Approximately 4,000 subjects were recruited for a randomized controlled trial of an online weight management intervention. Participants were sent invitations to web survey reassessments after 3, 6, and 12 months following enrollment. Increasing nonresponse to the three followup surveys created the potential for nonresponse bias in key program outcomes, with only 15% of baseline subjects completing the 12-month survey. A subsample of the 12-month nonrespondents was selected for a nonresponse study. This subsample was randomly assigned to a short telephone or mail survey to explore differences in cost-effectiveness, response rates, and measurement errors between modes. Response rates of 59% for telephone and 56% for mail were achieved. This paper reports on the use of imputation methods to combine the data from the mail and telephone followup surveys, with respondent data from baseline and the earlier followup surveys, to construct a synthetic dataset of responses to the 12-month survey.

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