Many studies of data collection processes for business surveys focus on issues related to how to increase response rates and how to reduce response burden. Additionally, some have focussed on measurement error. Issues related to non response bias, on the other hand, do not seem to be explicitly...

The study of interviewer-respondent interaction that occurs during an interview can give very useful insights into the cognitive process of answering questions, the social dynamics that develop in an interview context and the way these dynamics ultimately impact data quality. Behaviour coding is...

This paper evaluates the impact of dependent interviewing (DI) on interviewer burden and data quality using qualitative data collected from a survey carried out in 2006 on the British Household Panel Survey (BHPS) interviewers. We find that: (i) DI has a minor effect on interviewer burden, (ii)...

Linkages of household survey responses with administrative data may be based on unique individual identifiers or on survey respondent characteristics. The benefits gained from using unique identifiers need to be assessed in the light of potential problems such as non-response and measurement...

We analyse consent patterns and consent bias in the context of a large general household survey, the 'Improving survey measurement of income and employment' (ISMIE) survey, also addressing issues that arise when there are multiple consent questions. Using a multivariate probit regression model...

This report derives from the project "Improving survey measurement of income and employment (ISMIE)" which investigates measurement error in survey data on income and employment, using a UK sub-sample of the European Household Community Panel (ECHP). In this paper we describe the process of...

We analyse patterns of consent and consent bias in the context of a large general household survey, the 'Improving survey measurement of income and employment' survey, also addressing issues that arise when there are multiple consent questions. A multivariate probit regression model for four...