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Sampling & Its 8 Types: Research Methodology

Research Methodology

Image of Research Methodology of Sampling

Image of Research Methodology of Sampling

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Population & Sample

Polulation And Sample For Sampling Image - 1

Polulation and Sample for Sampling Image - 1

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Polulation And Sample For Sampling Image - 2

Polulation and Sample for Sampling Image - 2

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Polulation And Sample For Sampling Image - 3

Polulation and Sample for Sampling Image - 3

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Probability or Non-probability of Sampling

Probability or Non-Probability of Sampling

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Systematic Sampling

Image of Systematic Sampling

Image of Systematic Sampling

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Image of Population, Strata, Stratified Samples For Sampling

Image of Population, Strata, Stratified Samples for Sampling

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Cluster Sampling

Image of Cluster Sampling

Image of Cluster Sampling

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Non Probability Sampling

Image of Non Probability Sampling

Image of Non Probability Sampling

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Convenience Sampling

Image of Convenience Sampling of Sampling

Image of Convenience Sampling of Sampling

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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.