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Sampling design john ladaran

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Sampling Design is a process of obtaining information from a subset (sample) of a larger group (population) (webster 1985). This presentation is a partial fulfillment for a requirement for PA 298 …

Sampling Design is a process of obtaining information from a subset (sample) of a larger group (population) (webster 1985). This presentation is a partial fulfillment for a requirement for PA 298 Research for Social Science under Dr. Maria Theresa P. Pelones.

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  • 1. RESEARCHSAMPLING DESIGNS(PA 298 Research for Social Science)
    Presented by:
    Mr. John Ladaran
    March 12, 2011
    Presented to:
    Maria Theresa P. Pelones, DM
  • 2. Sampling:
    • The process of obtaining information from a subset (sample) of a larger group (population) (webster 1985)
    • 3. The act, process, or technique of selecting a suitable sample, or a representative part of a population for the purpose of determining parameters or characteristics of the whole population. (Mugo, Fridah)
    • 4. used to make inferences about a population from a relatively small number of observations, that are assumed to be representative of the population.
    2
    PA298 RESEARCH SAMPLING DESIGN
    3/15/2011
  • 5. Purpose of Sampling:
    To draw conclusions about populations from samples
    To accurately describe the parameters of a population based on the description (statistics) of a set of elements drawn from the population.
    make generalizations about the whole [the population] which are valid [accurate] and which allow prediction. If this spoonful needs salt, then it's likely that this would be true for others as well.
    3
    PA298 RESEARCH SAMPLING DESIGN
    3/15/2011
  • 6. Terminologies:
    Population
    * The entire group of people of interest from whom the researcher needs to obtain information
    Sample
    * contacting a portion of the population (e.g. 10%)
    Census
    * the entire population
    Element
    * one unit from a population
    4
    PA298 RESEARCH SAMPLING DESIGN
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  • 7.
    • Two keys to be considered:
    1.) Selecting the right people
    Have to be selected scientifically so that they are representative of the population
    2.) Selecting the right number of the right people
    To minimize sampling errors
    5
    PA298 RESEARCH SAMPLING DESIGN
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  • 8. Principles of sampling
    Two keys:
    1.) Selecting the right people
    - have to be selected scientifically so that they are representative of the population
    2.) Selecting the right number of the right people
    - to minimize sampling errors
    6
    PA298 RESEARCH SAMPLING DESIGN
    3/15/2011
  • 9. Principles of sampling
    Measure the sample using statistics in order to draw inferences about the population and its parameters
    Population
    sample
    population
    sample
    parameters
    statistic
    7
    PA298 RESEARCH SAMPLING DESIGN
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  • 10. Principles of sampling
    Characteristics of good samples
    Truly Representative
    Accessible
    Low cost
    Optimum size
    Result can be applied universally with reasonable level of confidence
    Similar to population
    8
    PA298 RESEARCH SAMPLING DESIGN
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  • 11. Principles of sampling
    sample
    population
    population
    sample
    9
    PA298 RESEARCH SAMPLING DESIGN
    3/15/2011
  • 12. Advantages & Disadvantages
    Sampling saves time and money
    Sampling saves labor.
    A sample coverage permits a higher overall level of adequacy than a full enumeration.
    Complete census is often unnecessary, wasteful, and the burden on the public.
    • There is room for potential bias in the selection of suitable subjects for the research. This may be because the researcher selects subjects that are more likely to give the desired results, or that the subjects tend to select themselves.
    • 13. Sampling requires a knowledge of statistics, and the entire design of the experiment depends upon the exact sampling method required.
    10
    PA298 RESEARCH SAMPLING DESIGN
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  • 14. Processes of Sampling Design
    1.) Define the population
    2.) Identify the sampling frame
    3.) Select a sampling design or procedure
    4.) Determine the sample size
    5.) Draw the sample
    11
    PA298 RESEARCH SAMPLING DESIGN
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  • 15. Processes of Sampling Design
    Define Population
    Determine sampling frame
    Determine sampling procedure
    Non-Probability Sampling
    Probability Sampling
    Sample Size
    Execute sampling design
    12
    PA298 RESEARCH SAMPLING DESIGN
    3/15/2011
  • 16. 1.) Define the Target Population
    It addresses the question “Ideally, who do you want to survey?”
    • It involves
    - defining the population units
    - setting population boundaries
    - screening
    13
    PA298 RESEARCH SAMPLING DESIGN
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  • 17. 2) Determine the sampling Frame
    • Obtaining a list of population (how will you reach sample)
    • 18. Problems with lists
    - omissions
    - ineligibles
    - duplications
    14
    PA298 RESEARCH SAMPLING DESIGN
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  • 19. 3.) Selecting a Sampling Design
    • Probability Sampling
    - equal chance of being included in the sample
    • Non-probability Sampling
    - unequal chance of being included in the sample
    15
    PA298 RESEARCH SAMPLING DESIGN
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  • 20. 4.) Sample Size
    How large a sample should be?
    Sample size constrains:
    • depends on the nature of the analysis to be performed
    • 21. Desired precision of the estimates
    • 22. Kind and number of comparisons
    • 23. Number of variables that have to be examined
    • 24. How heterogeneous a population is sampled.
    16
    PA298 RESEARCH SAMPLING DESIGN
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  • 25. Determination of Sample size
    Nature of population
    -heterogeneous or homogenous
    -dispersion variability
    Number of variables to be studied
    Nature of groups and sub-groups proposed
    Nature of study (quantitative or qualitative)
    -intensive & continuous or general survey
    Type of sample
    Intended depth of analysis
    17
    PA298 RESEARCH SAMPLING DESIGN
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  • 26. Determination of Sample size
    Precision and reliability
    Level of non response
    Available finance and other resources
    Size of population
    Nature of size of population
    Size of questionnaire
    18
    PA298 RESEARCH SAMPLING DESIGN
    3/15/2011
  • 27. to be continue by….
    MS. CHONA CASANOVA
    ON DIFFERENT TYPE OF SAMPLING DESIGN
    19
    PA298 RESEARCH SAMPLING DESIGN
    3/15/2011

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