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Quantitative research

Sampling elusive populations: Applications of child labour

Overview

The present publication has a dual function. It complements the earlier volume on sampling for household-based surveys of child labour brought out by within the framework of the ILO Statistical Information and Monitoring Programme on Child Labour (SIMPOC). While the earlier volume dealt with sampling issues in conventional, broad-based household surveys, the present volume deals with non-standard issues involved in the sample design of child labour in targeted sectors and activities, such child street vendors or child domestic workers.

The second function of the present document is its contribution to survey methodology that goes beyond the particular subject of child labour. Thus, anyone interested in issues and practical solutions to problems such as sampling from imperfect frames, or sampling difficult populations because they are relatively few or mobile or secretive, would benefit from the contents of this publication. It puts together in one document a vast amount of materials on various sampling schemes such as multiplicity sampling, adaptive cluster sampling, controlled selection and balanced sampling, snowball sampling, and capture-recapture sampling. In most cases, novel ideas are brought on the underlying theory and the methodologies are illustrated with real-life numerical examples.e.

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This tool provides advanced sampling techniques for challenging populations in child labour studies, offering practical examples and solutions.
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Understand and implement advanced sampling techniques for targeted surveys in child labour, improve survey methodology, and address challenges in sampling elusive populations.