JSM 2004 - Toronto

Abstract #301444

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Activity Number: 149
Type: Topic Contributed
Date/Time: Monday, August 9, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #301444
Title: Propensity Score Matching as a Bias Correction Method for Internet-based Studies
Author(s): John Bremer*+ and George Terhanian and Paul Strange
Companies: HI Europe/Harris Interactive and HI Europe and HI Europe
Address: Waterman's Park, High St., Brentford, International, TW8 0BB, United Kingdom
Keywords: Propensity Score Adjustment ; surveys ; matching methods ; Bayesian methods ; election forecasting
Abstract:

Most surveys conducted over the internet have up to three obvious forms of selection bias inherent in their sampling procedures: the bias associated with being online, the bias associated with panel based methodologies, and the bias associated with with the decision whether or not to participate in a given survey once invited. This paper investigates the use of a propensity score matching methodology using non-online studies (primarily telephone or face-to-face) as the control to greatly reduce these biases and suggests when this methodology would be applicable. The methodology will be thoroughly discussed and evidence presented as to the effectiveness of the methodology. Other methods of selection bias reduction will be discussed and compared to the propensity score methodology.

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