Sampling Frames and Sample Design Pres' 5

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Sampling Frames andSample DesignPres. 5
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Sample Frames Sample Design

• Frames Material from which a sample is drawn
• Each unit to be included in the universe
• There should be no duplicates
• Each unit should be well defined and
  distinguishable from other units (it should be
  unique)
• Should be updated
• For PES first stage units PSUs, in many countries
  area clusters

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Characteristics of Good Area PSUs

• Boundaries well delineated with clear physical
  boundaries
• They should be mapped
• Must cover the whole country
• Preferably should have some measures of size (MOS)

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Sample Size

• Sample size depends on estimate requirements
• Geographic level (national, province,
  urban/rural)
• Demographic (sex, age)
• Reliability
• Confidence level

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Importance of Stratification

• Population subdivided into heterogeneous groups
  that are internally homogenous
• Stratification based on variables correlated with
  the extent of coverage-geopolitical subdivisions
• Internal homogeneity can be maintained with
  regard to socio-demographic variables e.g. urban
  stratum
• Common strata may include rural, urban,
  provinces etc.

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Sampling Strategies

• Probability household surveys
• It is usual to make inferences in a PES for a
  number of analytical domains
• Relatively large samples necessary in each domain
  for reliable estimates
• Stratified cluster sample design-common
• First-stage unitsarea clusters/EAs
• PPS systematic sample selection
• Second-stage, common to canvass all persons in
  selected households

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Why Multi-stage Cluster Sampling?

• Reduces travel and other costs related to data
  collection
• Strategy can improve supervision
• Construction of frame cascading in stages,
  therefore, cheaper
• Matching operations more efficient

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• Thank You!