The impact of mixing modes on reliability in longitudinal studies
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 longitu- dinal 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 analysed 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 subsequent waves. Implications and limitations are discussed.
|Date of creation:||03 Jul 2013|
|Date of revision:|
|Contact details of provider:|| Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK|
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- repec:ese:iserwp:2006-41 is not listed on IDEAS
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- Lynn, Peter, 2012.
"Mode-switch protocols: how a seemingly small design difference can affect attrition rates and attrition bias,"
Understanding Society Working Paper Series
2012-07, Understanding Society at the Institute for Social and Economic Research.
- 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.
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