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Activity Number: 422
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #306488
Title: Continuous Measures of Response Latency in Evaluating Nonresponse Bias in a Large Randomized Community Trial of College Students Using the Continuum of Resistance Model
Author(s): Jill N. Blocker*+ and Eddie Ip and Thomas P. McCoy
Companies: Wake Forest School of Medicine and Wake Forest School of Medicine and The University of North Carolina at Greensboro
Address: Department of Biostatistics, Winston-Salem, NC, 27157, United States
Keywords: Non-response bias ; Continuum of Resistance ; high-risk drinking ; alcohol-related consequences ; college students
Abstract:

It is widely believed that the inferential value of sample survey data is jeopardized by selective non-response bias. Traditional methods for assessing non-response bias involve comparing early to late responders to assess differences in study outcomes and demographic characteristics. Since defining the cut-point for dichotomizing the sample is subjective and can substantially change the results of a non-response bias analysis, we investigate non-response bias using a continuous measure of response latency under Continuum of Resistance (COR) Model assumptions. The COR model asserts that late responders are similar to non-responders and there exists a smooth relationship between the outcome and the continuum of response resistance. Using data from a college drinking survey of >19,000 college students over 6 years, we examine non-response bias in high-risk drinking outcomes and alcohol-related consequences. Study outcomes were regressed on time-to-response to reveal that response latency accounted for less than 0.07% of the variation in any of the outcomes (R-squared < 0.0007). No p-values reached significance suggesting that non-response bias in the sample is minimal.


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