Sampling
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Transcript

  • 1. SAMPLING
  • 2. Sampling
    Sampling is simply the process of learning about the population on the basis of a sample drawn from it.
    Sampling is a tool which helps to know the characteristics of the universe or population by examining only a small part of it.
  • 3. Terminology
    Population - Population is the group which is used to generalize the study.
    Sample - Sample is the group of people that is to be selected for study.
    Census- A census is the process of obtaining information about every member of a population
    Sampling Design- It is a technique or procedure for selecting item for the sample.
  • 4. Sampling frame- The listing of the accessible population from which the sample is drawn is called sampling frame.
    Response- Response is a specific measurement value that a sampling unit supplies.
    Population Parameter – When mean or average is calculated on entire population, this is not referred as statistics, it is a population parameter.
  • 5. Why Sampling???
    Time constraints
    Cost constraints
    Easy and convenient Processing
    Reuse of population
    Lesser resources required
    Helpful in studying the hypothetical data.
  • 6. SAMPLING MODEL
  • 7. Characteristic of sampling
    Representativeness
    Adequacy
    Independence
    Homogeneity
  • 8. Steps in sample design
    Type of Universe
    Sampling Unit
    Source List
    Size of Sample
    Parameters of Interest
    Budgetary Constraints
    Sampling Procedure
  • 9. Types of Sampling Design
    NON PROBABILITY SAMPLING
    PROBABILITY SAMPLING
    JUDGEMENT SAMPLING
    SIMPLE RANDOM SAMPLING
    SYSTEMATIC
    SAMPLING
    QUOTA SAMPLING
    CLUSTER SAMPLING
    CONVENIENCE SAMPLING
    STRATIFIED SAMPLING
  • 10. NON PROBABILIITY SAMPLING
    It is a sampling procedure which does not afford any basis for estimating the probability that each item in the population has of being included in the sample.
    Also known as deliberate sampling, purposive sampling.
  • 11. PROBABILITY SAMPLING
    Probability sampling is a sampling procedure where every item in the universe has an equal chances of inclusion in the sample.
    Also known as ‘random sampling’ or ‘chance sampling’.
  • 12. CHARATERSTICS OF GOOD SAMPLE DESIGN
    Must result in a truly representative sample
    Must result in small sampling errors
    Must be viable in context of funds available for the research study.
    Must be such so that systematic bias can be controlled in a better way.
  • 13. Techniques of selecting arandom sample
    Size of sample
    - Size of universe
    - Resources available
    - Degree of accuracy
    - Homogeneity
    - Nature of study
    - Method of sampling adopted
    - Nature of respondents
  • 14. Merits of sampling
    Less time consuming
    Less cost
    More reliable results
    More detailed information
    Practical method
    To judge the accuracy of the information obtained on a census basis.
  • 15. Limitations of sampling
    Unplanned sampling is often misleading
    Requires experts
    At times complicated
    Not appropriate when every unit in the domain has to be studied.
  • 16.    Thank you   