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Judgmental sampling, also called purposive sampling or authoritative sampling, is a non-probability sampling technique in which the sample members are chosen only on the basis of the researcher's knowledge and judgment.
A judgment sample is a type of nonprobability sample that allows the researcher to determine if they believe the individual meets the criteria set for the sample frame to complete the research. For instance, you may be interested in researching mothers, so you sit outside a toy store and ask an individual who is carrying a baby to participate.
- What Is Judgment Sampling?
- When to Use Judgment Sampling
- The Advantages of Judgment Sampling
- The Primary Disadvantage of Judgment Sampling
- An Example of Judgment Sampling
- Conclusion
Judgment sampling, also referred to as judgmental sampling or authoritative sampling, is a non-probability sampling technique where the researcher selects units to be sampled based on his own existing knowledge, or his professional judgment. As a refresher, non-probability samplingis where the samples for a study are gathered in a process that does...
Judgment sampling is most effective when only a limited number of individuals possess the trait that a researcher is interested in. For example, imagine a group of researchers that is interested in what it takes for American youths to graduate from high school by age 14, instead of the typical graduation age of 18 years old. It would not serve the ...
Judgment sampling is less time consuming than other sampling techniques.
When using judgment sampling, researchers can conduct interviews and other more hands-on data collection techniques such as holding focus groups due to the lower volume of subjects. Typically, this takes much less time than collecting data from high volume segments.
Judgment sampling allows researchers to go directly to their target population of interest.
Judgment sampling increases the relevance of the sample to the population of interest, as only individuals that fit particular criteria are included in the sample. In order for a study to be conducted as efficiently as possible, researchers should strive to use the sample that is most relevant to their population of interest as possible.
Judgment sampling is prone to researcher bias.
Because each sample is based entirely on the judgment of the researcher, there is room for human error that results in researcher bias. Researcher bias, also known as experimenter bias, is when the people performing the research end up influencing the results of a study. Researcher bias is detrimental to the validity of a study, and accordingly the data resulting from the study. Therefore, researchers should do everything in their power to avoid it. Related: 4 Ways to Eliminate Bias in Market...
Consider the following commonly-used example to help you contextualize judgement sampling. A group of researchers is interested in learning if the reason why people wear eyeglasses is to read books. Common sense tells us that the efforts of the research group should be focused entirely on people that indeed wear eyeglasses. This process is judgment...
You should now have an introductory understanding of judgment sampling, when to use this technique, and the pros and cons associated with its implementation. Do you have a judgment sampling success story that you’d be willing to share? What about an experience where judgment sampling led to researcher bias and poor data? Sound off in the comments b...
7 de mar. de 2023 · Judgment sampling is a non-random sampling method in which the sample is selected based on the researcher’s judgment. It involves the researcher making a judgment on which elements of the population should be included in the sample.
23 de ago. de 2023 · Judgemental sampling is a non-probability sampling method that selects the sample based on the researcher's best judgment. The researcher must decide which components of the population should be represented in the sample.
A judgment sample is a non-probability sample (often called a purposive, selective, or subjective sample) in which the sample elements are handpicked because they are expected to serve the research purpose.
1 de nov. de 1996 · This paper reviews the development of the concept of Integrated Marketing Communications (IMC) in terms of its theoretical foundations through an exploratory study of IMC within a judgment sample of …
