Unravelling the data puzzle: a total survey error perspective on adult learning and education participation in the UK

This paper investigates the methodological discrepancies underlying the measurement of adult learning and education (ALE) participation in the UK by focusing on four major surveys – APiL, PIAAC, AES, and LFS. Grounded in the Total Survey Error (TSE) framework, we systematically examined the surveys’ documentation and compared their definitions, reference periods, and operationalisation of ALE. Our review identified significant inconsistencies, including mismatched age ranges, divergent weighting schemes, and ambiguous question phrasing. These methodological differences potentially undermine data validity and complicate cross-survey comparisons. As a result, policymakers and researchers may be left with an uncertain evidence base for shaping adult education policies. To address these issues, we propose two scenarios: first, conducting qualitative interviews to refine how participation questions are conceptualised by adults, and second, implementing survey experiments to assess the effects of various reference periods, data collection modes, and question formats on reported participation rates. We suggest that strengthening the methodological foundations of ALE surveys can foster greater confidence in the reliability of adult education statistics, informing more nuanced policy interventions and advancing future research directions.

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Publication Details

Journal
International Journal of Lifelong Education
Published
2025-04-20
DOI
https://doi.org/10.1080/02601370.2025.2493798
Citations
1
Primary Topic
Primary Care and Health Outcomes
Type
article
Field-Weighted Citation Impact
2.82

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article

Unravelling the data puzzle: a total survey error perspective on adult learning and education participation in the UK

Betül Babayiğit, Sharon Clancy, John Holford, Queralt Capsada‐Munsech et al.
1 citations
International Journal of Lifelong Education
Primary Care and Health Outcomes
2.82
article

Unravelling the data puzzle: a total survey error perspective on adult learning and education participation in the UK

Betül Babayiğit, Sharon Clancy, John Holford, Queralt Capsada‐Munsech, Zyra M. Evangelista, Ellen Boeren
article en
1 citations

Abstract

This paper investigates the methodological discrepancies underlying the measurement of adult learning and education (ALE) participation in the UK by focusing on four major surveys – APiL, PIAAC, AES, and LFS. Grounded in the Total Survey Error (TSE) framework, we systematically examined the surveys’ documentation and compared their definitions, reference periods, and operationalisation of ALE. Our review identified significant inconsistencies, including mismatched age ranges, divergent weighting schemes, and ambiguous question phrasing. These methodological differences potentially undermine data validity and complicate cross-survey comparisons. As a result, policymakers and researchers may be left with an uncertain evidence base for shaping adult education policies. To address these issues, we propose two scenarios: first, conducting qualitative interviews to refine how participation questions are conceptualised by adults, and second, implementing survey experiments to assess the effects of various reference periods, data collection modes, and question formats on reported participation rates. We suggest that strengthening the methodological foundations of ALE surveys can foster greater confidence in the reliability of adult education statistics, informing more nuanced policy interventions and advancing future research directions.

International Journal of Lifelong EducationVol. 44(3)
University of Nottingham (GB), University of Glasgow (GB)
Economic and Social Research Council
Quality Education
Openalex Percentile: Top 12%
Primary Care and Health Outcomes
2.82
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