I mean Sampling like a form to get information data (any kind) on investigation, this data later can be used to statistical analysis.
I have understood that this is a research method. How many types are there?
I would like to know what are the techniques (in case of method) and instruments.
And how would you characterize it in the type of investigation?
I would also like you to cite me, which are the brackets of each instrument? For example, the questionnaire is an instrument of the technique called "survey" and the tangible bracket of this instrument is the paper printed with the bank of questions.
Dear @Andrei, what do you have in mind, statistics and data samplings in research, or sampling as a technique used to digitize analogue information?
Dear @Andrei, what do you have in mind, statistics and data samplings in research, or sampling as a technique used to digitize analogue information?
@Andrei, when time and money constraints exist we must use a sample, that is drawn scientifically. This is enough to provide accuracy in representing your population of interest. Assessing all individuals may be impossible, impractical, and expensive.
Our resources are limited when we are students, and time is of the essence, since we all want to complete our research project and so sampling is a wonderful option. For most purposes we can obtain suitable accuracy quickly and inexpensively on information gained from a sample. (Please read "Here are some reasons why doctoral students should not even try to use the entire population in their dissertation research.")
http://www.dissertation-statistics.com/sample-population.html
Sampling is the process of selecting units (e.g., people, organizations) from a population of interest so that by studying the sample we may fairly generalize our results back to the population from which they were chosen.
Sampling methods are classified as either probability or nonprobability.
http://www.socialresearchmethods.net/kb/sampling.php
https://www.statpac.com/surveys/sampling.htm
You are right I mean sampling as a method in the investigation, mm maybe their techniques are random sampling, systematic sampling, stratified sampling, cluster sampling, Judgment sampling, Convenience sampling, Snowball sampling and Quota sampling. But I'm not sure yet if these are the techniques of the method called "sampling".
Under this context that art becomes a technique, the techniques makes methods, the methods set up a methodology and who manages this knowledge as a whole is epistemology
Sampling is the process of selecting a particular population from a larger population as participants in a study or research, choosing to involved the whole population involves a lot of cost, hence sampling is used instead to investigate a problem or issue.
There are two sampling methods. Probability sampling includes; simple random sampling, stratified random sampling ( may include two types) and cluster sampling. In probability sampling.
Non-probability sampling includes; quota sampling, purposive sampling, systematic sampling, snow ball sampling and double sampling.
The selection of the research instruments and methods to use, will depend on the context of the research problem, like the research question, what the researcher would want to find, and what methods or instruments would be suitable to conduct the research.
http://www.grmgrlaranya.com/Journals/SAMPLING%20METHODS%20IN%20SOCIAL%20RESEARCH.pdf
Hope this will help.
Sampling is a part of methodology. It allows us to use statistics for inference.
Dear
Sampling is a technique, process and a methodology. Because of the research studies are usually carried out on sample of subjects rather than whole populations. The most challenging aspect of fieldwork is drawing a random sample from the target population to which the results of the study would be generalized. The key to a good sample is that it has to be typical of the population from which it is drawn. When the information from a sample is not typical of that in the population in a systematic way, we say that error has occurred. In actual practice, the task is so difficult that several types of errors, i.e. sampling error, non-sampling error, Response error, Processing error,…
In addition, the most important error is the Sampling error, which is statistically defined as the error caused by observing a sample instead of the whole population. The underlying principle that must be followed if we are to have any hope of making inferences from a sample to a population is that the sample be representative of that population. A key way of achieving this is through the use of “randomization”. There several types of random samples, Some of which are: Simple Random Sampling, Stratified Random Sampling, Double-stage Random Sampling... Moreover, the most important sample is the simple random sample which is a sample selected in such a way that every possible sample of the same size is equally likely to be chosen. In order to reduce the sampling error, the simple random sample technique and a large sample size have to be developed.
Regards,
Zuhair
I concur with Al-Hemyari that it is a cocktail of the three. Most research apply sampling methodology as it is not feasible (in many cases) to undertake a census. Within that, the technique and process are how to select the sample itself after agreeing that you will sample.
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