Assessing methods for within-household selection in self-administered push-to-web surveys: an experimental comparison
The Office for National Statistics (ONS) has been developing a transformed, online-first version of the Labour Force Survey (LFS) as the long-term solution to falling response rates and quality challenges.
The ambition of the Transformed Labour Force Survey (TLFS) is to create a more adaptive, user-focused survey that enhances respondent experience and improves the quality of labour market statistics.
In 2022, the TLFS achieved a 38% response rate – a promising start, but significant differential non-response bias remained.
As the effects of the Covid-19 pandemic lessened, the natural next step for the TLFS was to introduce face-to-face interviewers.
Rather than spending the most expensive survey element on all respondents, Knock-to-Nudge (KtN) data collection was introduced.
KtN involves field interviewers visiting non-responding households to encourage participation via remote modes (either online or telephone).
This was implemented using an Adaptive Survey Design (ASD), which involves targeting the KtN resource at non-responding addresses in ‘hard-to-reach’ areas to reduce bias and improve data quality.
This presentation will provide an overview of the survey, discuss the implementation of KtN and ASD, and explore the results from the evaluation of the design, with a focus on improvements, challenges, and lessons learned.
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