Sampling YouTube Lecture Handouts for Competitive Exams Research Methodology

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Sampling & Its 8 Types: Research Methodology

Research Methodology

Research Methodology of Sampling

Population & Sample

Polulation and Sample for Sampling Image - 1
Polulation and Sample for Sampling Image - 2
Polulation and Sample for Sampling Image - 3
Probability or Non-Probability of Sampling

Systematic Sampling

Systematic Sampling
Population, Strata, Stratified Samples for Sampling

Cluster Sampling

Cluster Sampling

Non Probability Sampling

Non Probability Sampling

Convenience Sampling

Convenience Sampling of Sampling

Purposeful Sampling

  • Extreme, Typical, Critical, or Deviant Case: Rare
  • Intensity: Depicts interest strongly
  • Maximum Variation: range of nationality, profession
  • Homogeneous: similar sampling groups
  • Stratified Purposeful: Across subcategories
  • Mixed: Multistage which combines different sampling
  • Sampling Politically Important Cases

Purposeful Sampling

  • Purposeful Random: If sample is larger than what can be handled & help to reduce sample size
  • Opportunistic Sampling: Take advantage of new opportunity
  • Confirming (support) and Disconfirming (against) Cases
  • Theory Based or Operational Construct: interaction b/w human & environment
  • Criterion: All above 6 feet tall
  • Purposive: subset of large population – high level business
    • Snowball Sample (Chain-Referral) : picks sample analogous to accumulating snow

Advantages of Sampling

  • Increases validity of research
  • Ability to generalize results to larger population
  • Cuts the cost of data collection
  • Allows speedy work with less effort
  • Better organization
  • Greater brevity
  • Allows comprehensive and accurate data collection
  • Reduces non sampling error. Sampling error is however added.

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