Sampling Methods for Quantitative Research Sampling Methods Sampling and types of sampling methods commonly used in quantitative research are discussed in the following module. Explain probability and non-probability sampling and describes the different types of each. Researchers commonly examine traits or characteristics parameters of populations in their studies.
However, there are obviously times when one sampling method is preferred over the other. The following explanations add some clarification about when to use which method. Stratified sampling would be preferred over cluster sampling, particularly if the questions of interest are affected by time zone.
For example the percentage of people watching a live sporting event on television might be highly affected by the time zone they are in. Cluster sampling really works best when there are a reasonable number of clusters relative to the entire population.
In this case, selecting 2 clusters from 4 possible clusters really does not provide much advantage over simple random sampling.
Either stratified sampling or cluster sampling could be used. It would depend on what questions are being asked. For instance, consider the question "Do you agree or disagree that you receive adequate attention from the team of doctors at the Sports Medicine Clinic when injured?
In contrast, if the question of interest is "Do you agree or disagree that weather affects your performance during an athletic event? Consequently, stratified sampling would be preferred. Cluster sampling would probably be better than stratified sampling if each individual elementary school appropriately represents the entire population as in aschool district where students from throughout the district can attend any school.
Stratified sampling could be used if the elementary schools had very different locations and served only their local neighborhood i. Again, the questions of interest would affect which sampling method should be used. The most common method of carrying out a poll today is using Random Digit Dialing in which a machine random dials phone numbers.
Some polls go even farther and have a machine conduct the interview itself rather than just dialing the number!
Such "robo call polls" can be very biased because they have extremely low response rates most people don't like speaking to a machine and because federal law prevents such calls to cell phones.
Since the people who have landline phone service tend to be older than people who have cell phone service only, another potential source of bias is introduced.
Convenience sampling is used in exploratory research where the researcher is interested in getting an inexpensive approximation of the truth. As the name implies, the sample is selected because they are convenient. The best and most correct answer among the choices provided by the question is the second choice. All of the following are types of sampling techniques used in research except availability sampling. I hope my answer has come to your help. God bless and have a nice day ahead!5/5(9). In business and medical research, sampling is widely used for gathering information about a population. Acceptance sampling is used to determine if a production lot of material meets the governing specifications Allows use of different sampling techniques for different subpopulations.
National polling organizations that use random digit dialing in conducting interviewer based polls are very careful to match the number of landline versus cell phones to the population they are trying to survey.
Non-probability Sampling The following sampling methods that are listed in your text are types of non-probability sampling that should be avoided: In your textbook, the two types of non-probability samples listed above are called "sampling disasters.
The article provides great insight into how major polls are conducted.
When you are finished reading this article you may want to go to the Gallup Poll Web site, https: It is important to be mindful of margin or error as discussed in this article. We all need to remember that public opinion on a given topic cannot be appropriately measured with one question that is only asked on one poll.
Such results only provide a snapshot at that moment under certain conditions.Sampling Methods in Qualitative and Quantitative Research , views. Share; Like; Download Sampling in Qualitative and Quantitative Research A practical how-to Chapter 8-SAMPLE & SAMPLING TECHNIQUES Ludy .
This can be accomplished by using randomized statistical sampling techniques or probability sampling like cluster sampling and stratified sampling. There are two types of sampling risks, first is the risk of incorrect acceptance of the research hypothesis and the second is the risk for incorrect rejection.
These risks pertain to the. There are many methods of sampling when doing research. This guide can help you choose which method to use.
Simple random sampling is the ideal, but researchers seldom have the luxury of time or money to access the whole population, so many compromises often have to be made.
The best and most correct answer among the choices provided by the question is the second choice. All of the following are types of sampling techniques used in research except availability sampling. I hope my answer has come to your help. God bless and have a nice day ahead!5/5(9).
Each cluster should be heterogeneous. Additionally, the statistical analysis used with cluster sampling is not only different, but also more complicated than that used with stratified sampling. Another excellent source of public opinion polls on a wide variety of topics using solid sampling methodology is the Pew Research Center website.
Sampling and types of sampling methods commonly used in quantitative research are discussed in the following module. Extra care has to be taken to control biases when determining sampling techniques.
There are two main types of sampling: probability and non-probability sampling. The difference between the two types is whether or not the.