JSM 2005 - Toronto

Abstract #303880

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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 - #303880
Title: Latent Class Models for Studying Measurement-related Mode Effects in Mixed-mode Surveys
Author(s): Allan McCutcheon*+
Companies: UNL-Gallup Research Center
Address: 200 North 11th Street, Lincoln, NE, 68588-0241, United States
Keywords: mixed-mode surveys ; latent class models ; measurement error
Abstract:

Mixed-mode survey data plays an increasing role in modern survey research. Telephone surveys and self-completion questionnaires often complement face-to-face surveys in an effort to contain costs. Also, mixed-mode data collection strategies have been used to improve response rates. The mixing of survey data collection modes, however, includes a number of problematic issues. Research evidence clearly indicates there exist substantial differences in response rates between modes of data collection; these differential response rates may give rise to differential response distributions in the measures of interest. Yet, even controlling for these differential response rates, it is clear that differential modes of data collection lead to differential response patterns. Some research reports that telephone surveys are less subject to social desirability bias than are face-to-face surveys while others report mode-induced measurement bias in responses to sensitive questions. This paper uses the latent class model (LCM) to examine mode-induced measurement error and presents models for testing specific hypotheses regarding these mode effects for nominal- and ordinal-level measures.

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Revised March 2005