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There are sampling methods that are still under the quantitative paradigm but utilize non-random sampling to collect data from samples that are either too expensive or logistically difficult to select if random sampling will be used instead. These sampling methods can be convenience, purposive, quota, and snowball sampling (Babbie, 2003:211).
Convenience sampling is a non-random sampling method used when the goal is just to achieve the target sample size of a specific group for the study. No other criteria are set except for the kind of group being targeted and sample size that needs to be achieved. Purposive sampling, meanwhile, specifies characteristics of units that will be included in the sample. These units could be extreme characteristics of each other, or maybe only units from the extreme end of a characteristic spectrum are needed. The objective of this sampling method is to include units of a specific...
Quota sampling is used when the researcher's objective is to achieve a specific proportion of the target population. Snowball sampling, lastly, is used when the units of a sample are difficult to reach, such as commercial sex workers, HIV-infected individuals, substance abuse victims, among many others.
In conducting a good scientific research, rigor in conducting data collection and analysis must be ensured to yield reliable and valid results. Since scientific research gives importance to the level of confidence and margin of error from which the results will be analyzed and interpreted, data collection and analysis stages must adhere to strict, objective, and systematic methods of conducting scientific / statistical, quantitative research.
Reference:
Babbie, E. (2003). The Practice of Social Research. NY: Wadsworth Publishing.
Reference:
Babbie, E. (2003). The Practice of Social Research. NY: Wadsworth Publishing.
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Sampling Strategy and Sample Size for Quantitative Research Plan Referred to as modern-day slavery, the criminal and devastating incidences of human trafficking is something that are of responsibility of the entire international stage. This paper will look at the global emergency of human trafficking and will seek to examine the best method of gathering a sample for a quantitative research study. This research study seeks to accumulate the most relevant and
Another instance in which random sampling is not important is when a researcher is conducting a qualitative study. In qualitative studies, depth of information from selected units of analysis is given more importance rather than the number and representativeness of the target group or population. Thus, for a researcher conducting in-depth interviews of household mothers (for example), the characteristics/selection criteria set in identifying the target group (household mothers) are more
At the time of the survey, the typical class voter's interests would no doubt involve educational loans, rather than high property taxes, for example, or the quality of education from a student rather than a parent's point-of-view, and other specific interests particular to a younger, student age group, however large or randomly selected the class size. Demographically, one's class might also be relatively homogeneous ethnically, geographically within the United States,
Sampling Design There are a number of methods that can be effectively used to gather data in order to ascertain thesis or answer research questions. Determining which methodology to use is at the behest of the researcher and should be determined as part of the overall design of the study. In order to gather valid and reliable data, sampling methods such as cluster, quota, simple random, systematic, stratified, non-probability and probability,
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