Understanding 2 Data Sampling Methods

Data sampling is a critical aspect of research paper writing process. A sample is a portion or subset of a larger group called a population. It is a constituent of a larger population to which a study’s findings will be applied. Dissertation Services is one of the most reputed company offering statistical and sampling method choice. Sampling methods are usually divided into two types. This post of mine would help you know the complete details about these two sampling methods.

The first sampling method is called random or probability sampling. This is considered the best way to ensure the validity of any inferences made about a program’s effectiveness. In probability sampling, every member of the target population has a known probability of being included in the sample. Probability or random sampling methods sometimes require knowledge of probability statistics; many statistical software programs have random-sampling capabilities, but their use is not meant for the statistically challenged.

1The second type of sampling method produces a convenience sample. A convenience sample consists of participants who are selected because they are available. In convenience sampling, some members of the target population have a chance of being chosen, but others do not because they are not present when the sample is assembled. As a result, the data collected from a convenience sample may not be applicable to the target group at all.

A major concern in sampling is the potential discrepancy between the “unit” to be sampled and the unit that is analyzed statistically. The literature reviewer has to be very careful with the conclusion of studies that do not address discrepancies between who is sampled and whose data are analyzed. Using the best sampling method can assist in correcting this discrepancy between units of sampling and analysis. Hope by now, these two data sampling methods would have become clear to you.

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