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...

Household income is difficult to measure, since it requires collecting information about all potential income sources for each member of a household. We assess the effects of two types of edit check questions on measurement error and survey estimates: within-wave edit checks use responses to...

Using multiple modes to collect data is becoming a standard practice in survey agencies. While this should save costs and decrease non-response error it may have detrimental effects on measurement quality. This can happen because different modes have distinct measurement biases which, when...

We study the relationship between individuals' participation in household panels, their health and employment states and the design of survey fieldwork procedures, using a comparative approach based on data from the UK BHPS and Australian HILDA Survey. We simulate the impact of alternative...

Test-retest reliability assessments rarely investigate whether reliability itself is stable or whether change in reliability affects findings from substantive models. Research across the social sciences often recognises that measurement error could influence results, yet it rarely applies...