Study Notes on Population and Sampling for Assignments

Population and Sampling

Types of Sampling

  • Two Broad Types:

    • Probability Sampling

    • Non-Probability Sampling

Probability Samples

  • Four Types:

    1. Random Sample

    2. Systematic Random Sample

    3. Stratified Sample

    4. Cluster Sample

  • Random Sample:

    • Example of selecting from a population by randomization method.

  • Systematic Sample:

    • Defined sample size with random starting point and fixed interval between selections.

  • Cluster Sample:

    • Selecting from pre-defined groups (e.g., neighborhoods).

Non-Probability Samples

  • Four Types:

    1. Available/Convenient Sample

    2. Volunteer Sample

    3. Purposive Sample

    4. Snowball Sample

Summary of Sampling

  • Main Types:

    • Probability Sampling: Random, Systematic, Stratified, Cluster.

    • Non-Probability Sampling: Available/Convenient, Volunteer, Purposive, Snowball.

Exercises

  • Identify types of sampling based on various scenarios provided, including implications for research validity.

  • Evaluate and justify choice of sampling method for specific research questions.