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    Question

    What is a key difference between random sampling and

    non-random sampling?
    A Random sampling uses judgment to select samples, while non-random sampling does not. Correct Answer Incorrect Answer
    B Non-random sampling allows each individual in the population an equal chance to be selected, unlike random sampling. Correct Answer Incorrect Answer
    C Random sampling is primarily used in qualitative research, while non-random sampling is quantitative. Correct Answer Incorrect Answer
    D Random sampling relies on chance, ensuring representativeness, whereas non-random sampling may introduce selection bias. Correct Answer Incorrect Answer
    E Non-random sampling is more time-consuming than random sampling due to rigorous selection methods. Correct Answer Incorrect Answer

    Solution

    The distinction between random and non-random sampling lies in how samples are selected from a population. Random sampling relies on chance, giving every individual an equal opportunity to be chosen, which minimizes selection bias and enhances representativeness. In contrast, non-random sampling does not ensure each member has an equal chance of selection and often involves judgment or convenience, leading to a higher risk of bias. Random sampling methods like simple random sampling or stratified sampling are thus preferred for studies requiring generalizable results, while non-random sampling is sometimes used for exploratory research where representativeness is less critical. The other options are incorrect because: • Option 1 confuses judgment with randomness; judgment sampling is a non-random method. • Option 2 reverses definitions, as random sampling, not non-random, ensures equal chance. • Option 3 is inaccurate; both sampling types are used in qualitative and quantitative research, depending on goals. • Option 5 is misleading, as time required varies by method specifics, not by randomness alone.

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