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The Impact of Mixing Modes on Reliability in Longitudinal Studies

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  • Alexandru Cernat

Abstract

Mixed-mode designs are increasingly important in surveys, and large longitudinal studies are progressively moving to or considering such a design. In this context, our knowledge regarding the impact of mixing modes on data quality indicators in longitudinal studies is sparse. This study tries to ameliorate this situation by taking advantage of a quasi-experimental design in a longitudinal survey. Using models that estimate reliability for repeated measures, quasi-simplex models, 33 variables are analyzed by comparing a single-mode CAPI design to a sequential CATI-CAPI design. Results show no differences in reliabilities and stabilities across mixed modes either in the wave when the switch was made or in the subsequent waves. Implications and limitations are discussed.

Suggested Citation

  • Alexandru Cernat, 2015. "The Impact of Mixing Modes on Reliability in Longitudinal Studies," Sociological Methods & Research, , vol. 44(3), pages 427-457, August.
    • Handle: RePEc:sae:somere:v:44:y:2015:i:3:p:427-457
    DOI: 10.1177/0049124114553802
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    References listed on IDEAS

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    1. Burton, Jonathan & Laurie, Heather & Uhrig, S.C. Noah, 2010. "Understanding Society Innovation Panel Wave 2: results from methodological experiments," Understanding Society Working Paper Series 2010-04, Understanding Society at the Institute for Social and Economic Research.
    2. Lynn, Peter & Jäckle, Annette & Roberts, Caroline, 2006. "Telephone versus face-to-face interviewing: mode effects on data quality and likely causes: report on phase II of the ESS-Gallup mixed mode methodology project," ISER Working Paper Series 2006-41, Institute for Social and Economic Research.
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    Cited by:

    1. P. Couper, Mick & Cernat, Alexandru & Beth Ofstedal, Mary, 2015. "Estimation of mode effects in the Health and Retirement Study using measurement models," ISER Working Paper Series 2015-19, Institute for Social and Economic Research.

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