Probability Samples A probability sample is one in which every unit of the population has a known non-zero probability of selection and is randomly selected. Not many victims will readily respond to the questions. Purposive sampling is used in cases where the specialty of an authority can select a more representative sample that can bring more accurate results than by using other probability sampling techniques. elements – although it may also consist of rather unusual listings, ... population has a known, and non-zero, chance of being selected into the sample. This sampling method involves purposive or deliberate selection of particular units of the universe for constituting a sample which represents the universe. Researchers also implement this sampling method in situations where the topic is highly sensitive and not openly discussed—for example, surveys to gather information about HIV Aids. This type of sampling is also known as non-random sampling. This technique is used when features need to be studied are rare and difficult to find. Non-Probability Sampling. This type of sampling technique is also known as purposive sampling and authoritative sampling. A probability sample allows inferences about the target population to be made. 7. Subjects refer the researcher to others who might be recruited as subjects. When population elements are selected for inclusion in the sample based on the ease of access, it can be called convenience sampling. Outcome of sampling might be biased and makes difficult for all the elements of population to be part of the sample equally. Deliberate sampling is also known as purposive or non-probability sampling. Snowball sampling is also known as network sampling or chain-referral sampling. Sampling Probability sampling is also known as ‘random sampling this is a sampling which permits every single item from the universe to have an equal chance of presence in the sample. Non-probability sampling is also known by different names such as: a. deliberate sampling b. purposive sampling c. judgement sampling. It does not rely on randomization. DR G K KALKOTI Simple Random Sampling Accidental Sampling Systematic Sampling Convenience Sampling Stratified Sampling Judgment Sampling Cluster Sampling Purposive Sampling Area Sampling Quota Sampling Multistage and Multiphase Sampling PROBABILITY METHOD NON PROBABILITY METHOD METHODS OF SAMPLING 12. Judgement sampling is also known as purposive sampling. Is that 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. In contrast, the stability of sample estimates based on non-probability sampling cannot be discovered from the internal evidence of a single sample. In this technique, samples are created through chain referrals. This technique is more reliant on the researcher’s ability to select elements for a sample.
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