Changeability of units stands in the way of results of the study. The technique used in convenience sampling will allow the gathering of primary data regarding the topic. In this instance, funds are not yet available for a more complete survey, so a quick selection of the population will be used to demonstrate a need for the completed project. Relative small samples properly selected may be much more reliable than large samples poorly selected. If data were to be collected for the entire population, the cost will be quite high. The purpose of sampling theory is to make sampling more efficient. There are no other criteria to the sampling method. Availability of Data Through this method, researchers can easily finish collecting their data in a matter of hours, free from worrying about whether it is an accurate representation of the population. Tabulation, analysis etc., take much less time in the case of a sample than in the case of a population. Moreover, careful execution of field work is possible. Using this method will lead to the difficulty of acquiring generalized conclusions that have been drawn from the research. But there are corresponding issues when considering this method. In some situations, convenience sampling is the only possible option. A gaming company that wants to know how one of their games is doing in the market one day after its release. Since sample is of a small size, vast facilities are not required. The bias of the sample cannot be measured. The major challenge of this approach will be reaching to the people who play games. Convenience sampling is vey easy to carry out with few rules governing how the sample should be collected. Use of sampling method requires adequate subject specific knowledge in sampling technique. Convenience sampling is not often recommended for research due to the possibility of. If you are going to conduct research, it normally requires you to spend a great deal of money to do it. Oftentimes this method of sampling is used to gain funding for a larger, more thorough research project. With this option though, you can just collect data with the use of sampling technique. This is because it doesn’t need to acquire an exhaustive research for the whole population. 3. We have all seen studies that leverage students in the computer science classes. Most people may not be interested or take the survey seriously while completing it, which results in sampling error. This can be done through convenience sampling as it is the easiest way to handle it. 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They do not typically have to travel great distances to collect the data, but simply pull from whatever environment is nearby. If a research only covers a small part of the population, this method can be used accordingly. It consumes less time than census technique. The investigator is concerned with the generalization of data. Copyright (c) 2020 Statistical Aid. Deriving a representative sample is di6icult, when the universe is too small or too heterogeneous. Influences beyond the control of the researcher, Studies that use convenience sampling have little credibility due to reasons above. 4. Likewise, it is not reliable to make a statement based on the misrepresentation of data from a chosen group of people alone. But the real difficulties lie in selection, estimation and administration of samples. The units of sample may be widely dispersed. There will be chances of errors even if samples are drawn most carefully. One advantage of convenience sampling is that data can be collected quickly and for a low cost. Sampling may be defined as the procedure in which a sample is selected from an individual or a group of people of certain kind for research purpose. 3. Selecting good samples is difficult. Based from the name itself, it can be attained on a convenient manner. This method is extremely speedy, easy, readily available, and cost effective, causing it to be an attractive option to most researchers. 2. Advantages of Convenience Sampling. Possible Bias in Data Gathering Check the Advantages and Disadvantages of Convenience Sampling Example 1: . This sampling technique may be more appropriate for one type of study and less for another. Perhaps it depends on the type of research being conducted. So the researcher doesn’t need to do extra effort to gather data elsewhere. Possible Bias in Data Gathering However, the pros and cons of convenience sampling presented here can’t be denied that although it has some advantages, it also have disadvantages. But the process of sampling makes it possible to arrive at generalizations by studying the variables within a relatively small proportion of the population. In sample studies, measurements or observations are made of a limited number. But the real difficulties lie in selection, estimation and administration of samples.Disadvantages of sampling may be discussed under the heads: 1. Studying the entire universe is not viable. Therefore, inferences based on the convenience sampling should be made only about the sample itself. Useful for Pilot Studies where sample will be choose randomly and there have also unrestricted term. When the units of the population are not in homogeneous, the sampling technique will be unscientific. When time is of the essence, many researchers turn to convenience sampling for data collection, as they can swiftly gather data and begin their calculations. The results of the convenience sampling cannot be generalized to the target population because of the potential bias of the sampling technique due to under-representation of subgroups in the sample in comparison to the population of interest. Facebook polls or questions can be mentioned as a popular example for convenience sampling. Convenience sampling (also known as availability sampling) is a specific type of non-probability sampling method that relies on data collection from population members who are conveniently available to participate in study. Convenience sampling most often used is due to the numerous advantages it provides. Since the selection process is already biased, there are inaccuracies that are bound to set in. When the population of the study is large, the problem of rapport arises. The purpose of sampling theory is to make sampling more efficient. Because of these problems, all the cases may not be taken up. Ultimately, the results of sampling studies turn out to be sufficiently accurate.

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