Estimating mode effects from a sequential mixed-modes experiment

Estimating mode effects from a sequential mixed-modes experiment

The large-scale household panel study Understanding Society (The UK Household Longitudinal Study UKHLS) has, until recently, used interviewers to administer its questionnaires, but is now in the process of allowing individuals to participate using the web.  Survey data are known to be affected by survey mode so a sequential mode-effects experiment was carried out to evaluate the impact of this change on the panel.  In this talk we present a novel estimator and analysis strategy to quantify the impact of mode across a wide range of variables, with large mode effects on the covariance of a pair of variables used to indicate an increased risk that statistical analyses involving this pair will be affected.

Speaker

Yanchun Bao, University of Essex

How to attend

If not a member of the Dept. Mathematical Science at the University of Essex, you can register your interest in attending the seminar and request the Zoom's meeting password by emailing Dr Osama Mahmoud (o.mahmoud@essex.ac.uk)