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Quantitative research

Interactive tools in sampling with household-based child labour survey

Overview

Sampling resources provide a collection of manuals and tools to facilitate the development and execution of sampling procedures for designing and implementing national and sector-specific surveys on child labour and forced labour. These resources support the establishment of robust sampling processes, ensuring the surveys yield accurate and reliable data to inform policy and intervention strategies.
The set of interactive tools is designed to support the procedures for sample design, sample selection, sample weights and sampling errors arising from the use of probabilistic samples. For each topic there is an Excel sheet structured around inputs values that users are required to specify and output values automatically calculated by means of integrated formulas and intermediary calculations. Each Excel sheet has an associated user instructions explaining in detail their use and providing numerical examples for users to practice.

Tool components

Sample size and margin of error
This document describes the use of the template “Sample Size” of the SIMPOC Interactive Sampling Tools. The template assists the user to calculate the required sample size for a reporting domain of a child labour survey based on alternative sets of parameters.1
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Allocation of sample size among domains or strata
This document describes the use of the template “Allocation” of the SIMPOC Interactive Sampling Tools. The template assists the user to examine sampleallocations among domains or strata, allowing for different allocation procedures, including equal allocation, proportional allocation, the compromise square-root allocation and general allocation where the allocation parameter and the minimum sample size in each stratum can be specified. More strata or domains can be inserted in the template as needed.
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Selection of primary sampling units (PSUs)
This document describes the use of the template “PSU Selection” of the SIMPOC Interactive Sampling Tools. The template assists the user to select sample PSUs within a given stratum or domain by systematic sampling with probabilities proportional to size (pps) with constraints. The constraints specify the treatment of very large and very small PSUs. As many PSUs can be inserted in the template as there are PSUs in the sampling frame.
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Selection of sample households
This document describes the use of the template “Households Selection”. The template assists the user to select a fixed number of sample households within each sample PSU by systematic sampling with equal probability. The template covers the particular cases of very small and very large PSUs. In the case of very small PSUs, the sample includes all households in the PSU, which is equivalent to a census. In the case of very large PSUs, the template allows for two possibilities: very large PSUs virtually divided into smaller parts or very large PSUs treated as any other PSU.
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Primary sampling units listing
This document describes the use of the template “PSU listing” of the SIMPOC Interactive Sampling Tools. After selecting the sample PSUs, the next step in conventional two-stage sample designs is to freshly list the households in the sample PSUs before drawing the final sample of households for interviewing. Listing means identifying households currently living in an area and recording their basic characteristics.
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Calculation of sampling weights
This document describes the use of the template “Calculation of sampling weights”. The template assists the user to calculate the sampling weights for extrapolation of the sample results to the population totals. The calculation of the sampling weights takes into account the probabilities of selection according to the sample design, the extent of non-response among the sample households and any population aggregates to which the survey results should conform.
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Sampling errors
This document describes the use of the template “Sampling Errors” of the SIMPOC Interactive Sampling Tools. The template assists the user to calculate the sampling errors of the main survey estimates as well as approximate values for any other estimates. The calculations of the sampling errors are based on the sampling variations of replicates constructed using data at the PSU level.
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Use this tool to

Design robust sampling frameworks for child labour surveys using interactive Excel tools that facilitate the calculation of sample sizes, selection, and estimation of sampling errors.