Web Survey Bibliography
Title Using equivalence testing to disentangle selection and measurement in mixed modes surveys
Author Cernat, A.
Year 2015
Access date 15.06.2016
Full text PDF (181KB)
Abstract
Mixed modes are becoming increasingly popular in surveys. This approach can decrease costs and non-response bias. But in order to evaluate the utility of this approach we must separate selection and measurement effects of the different modes. In this paper I propose a new way of applying the front-door method to control for measurement differences between modes: equivalence testing with latent measurement models. A small simulation study will show how this approach works and how it can be biased if the assumptions of exhaustiveness and isolation are not true in the observed data.
Access/Direct link Journal Homepage (abstract) / (full tex)
Year of publication2015
Bibliographic typeJournal article
Web survey bibliography - Cernat, A. (7)
- Exploring Why Web Surveys Take Longer to Complete on Smartphones than PCs: Findings from a Within-subjects...; 2016; Antoun, C.; Cernat, A.
- Using equivalence testing to disentangle selection and measurement in mixed modes surveys ; 2015; Cernat, A.
- Understanding Society Innovation Panel Wave 7: Results from Methodological Experiments; 2015; Blom, A. G.; Burton, J.; Booker, C. L.; Cernat, A.; Fairbrother, M.; Jaeckle, A.; Kaminska, O.; Keusch...
- Impact of mixed modes on measurement errors and estimates of change in panel data; 2015; Cernat, A.
- The Impact of Mixing Modes on Reliability in Longitudinal Studies; 2014; Cernat, A.
- The role of email addresses and email contact in encouraging web response in a mixed mode design ; 2014; Cernat, A., Lynn, P.
- Impact of mode design on reliability in longitudinal data; 2013; Cernat, A.