Snowball vs Pueposeive Sampling

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The logic of sampling Albanese, P. (2006). Small Town, Big Benefits: The Ripple Effect of $7/Day Child Care. Canadian Review of Sociology/Revue Canadienne de Sociologie, 43(2), 125-140. The researcher use Purposive Sampling and Snowball sampling. Purposive sampling Purposive sampling is a nonprobability or nonrandom sampling, which is mostly used in exploratory research or field research. It can be very beneficial in situations where you need to reach a targeted sample quickly and where sampling for proportionality is not the primary concern. With a purposive sample, you are likely to get the opinions of your target population. Example would be students who live in dorms on campus. It helps researchers in selecting unique cases that are especially informative, selecting members of specialized population (in the above article), and identifying particular types of in-depth investigations, which is less to generalize to a larger population than it is to gain a deeper understanding of types. Purposive sampling has the tendency to researcher bias. The idea that the researcher uses judgment in selecting cases is not a good defense when it comes to eliminating possible researcher biases, especially when compared with probability sampling techniques that are designed to reduce such biases. On the other hand, this judgmental selection of purposive sampling is only a major disadvantage when such judgments have not been based on clear criteria, expert elicitation, or some other accepted criteria. A special case of purposive sampling is deviant case sampling. It is especially used by qualitative researchers to focus on cases that are peculiar or unusual, typically in the sense that the cases highlight notable outcomes, failures or successes. Deviant case sampling is useful because they often provide significant insight into a particular phenomenon, or including what
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