Is Judgement sampling a type of statistical sampling?

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A form of sampling in which the auditor selects a sample from a population on the basis of his or her own experience and assessment of the situation, rather than using statistical sampling techniques.


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In judgemental sampling, the choice of sample items depends exclusively on the judgement of the investigator. This means that the investigator includes those sample points which he feels are representative of the population under study. For example, if the researcher wants to investigate the study habits of 100 students in a class, he may exercise his own judgement and choose 10 students who, in his opinion, are representative of the entire class.

Another example of judgemental sampling is in archaeology. An archaeologist does not choose the site of excavation randomly. He uses his knowledge of the history of the area and exercises judgement in order to choose which site to excavate.

The principles of sampling theory cannot be applied to judgement sampling, since it is not a random sampling method. Judgemental sampling is used to solve many times of problems in economics and business.

Advantages of Judgemental Sampling:

  1. When there are only a small number of sampling units, random selection may miss some important representative elements, whereas, judgement sampling will definitely include those units.
  2. We can obtain an even more representative sample if we divide the population into groups of different kinds and choose some sample units from each of the groups by judgement sampling.

Disadvantages of Judgemental Sampling:

  1. This main disadvantage of this method is that the sample may be affected due to the bias of the investigator. There is a risk that the investigator may try to choose a sample in such a way so as to establish his own preconceived opinions. For example, if an investigator wants to establish that the workers in a factory are earning low wages, he may choose a sample in such a way so that only people with low wages are included in the sample.
  2. There is no objective wat of evaluating the effectiveness of this sampling method. For random sampling methos such as cluster sampling and stratified sampling it is possible to calculate the sampling error of our estimate which is not possible in judgement sampling. If the individual making the decisions is knowledgeable and has good judgement then the results may be correct, otherwise the conclusion based on the sample will be erroneous.

Is Judgement sampling a type of statistical sampling?

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The Accounting Review is the premier journal for publishing articles reporting the results of accounting research and explaining and illustrating related research methodology. The scope of acceptable articles embraces any research methodology and any accounting-related subject. The primary criterion for publication in The Accounting Review is the significance of the contribution an article makes to the literature.

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The American Accounting Association is the world's largest association of accounting and business educators, researchers, and interested practitioners. A worldwide organization, the AAA promotes education, research, service, and interaction between education and practice. Formed in 1916 as the American Association of University Instructors in Accounting, the association began publishing the first of its ten journals, The Accounting Review, in 1925. Ten years later, in 1935, the association changed its name to become the American Accounting Association. The AAA now extends far beyond accounting, with 14 Sections addressing such issues as Information Systems, Artificial Intelligence/Expert Systems, Public Interest, Auditing, taxation (the American Taxation Association is a Section of the AAA), International Accounting, and Teaching and Curriculum. About 30% of AAA members live and work outside the United States.

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Judgment sample, or Expert sample, is a type of non-random sample that is selected based on the opinion of an expert. Results obtained from a judgment sample are subject to some degree of bias, due to the frame and population not being identical. The frame is a list of all the units, items, people, etc., that define the population to be studied. Judgement sampling is the noble to provide detailed information about the difficulties in obtaining the distinction. A random sample would provide less bias, but potentially less raw information. The downfalls of this system are significant as any non-random sample brings bias into question, which limits the types of statistical analyses that you may reasonably perform, and there are considerable limits to an experts ability to choose a good sample.

References[edit]

  • Deming, W. Edwards (1990). Sample Design in business research. John Wiley and Sons. p. 31. ISBN 0-471-52370-4.
  • "Judgmental Sampling". Explorable.com. September 13, 2009. Retrieved March 25, 2018.
  • "What is Expert Sampling?". statisticshowto. 12 October 2017. Retrieved March 25, 2018.

What is Judgement sampling in statistics?

Judgment sampling (a type of purposive sampling) occurs when units are selected for inclusion in a study based on the professional judgment of the researcher. This is in contrast to probability sampling techniques in which units are drawn with some probability (e.g., randomly) from the population of interest.

Which sampling is also known as Judgement sampling?

Purposive sampling This type of sampling, also known as judgement sampling, involves the researcher using their expertise to select a sample that is most useful to the purposes of the research.

What are the types of sampling in statistics?

There are five types of sampling: Random, Systematic, Convenience, Cluster, and Stratified.

What is statistical and non statistical sampling?

Statistical versus non-statistical sampling Statistical sampling allows each sampling unit to stand an equal chance of selection. The use of non-statistical sampling in audit sampling essentially removes this probability theory and is wholly dependent on the auditor's judgment.