It is said that convenience sampling is easy to carry out with the rules governing the sample to be collected (Goertz and Mahoney, 2012). Individuals in the sample are directly and intentionally selected, depending on ease of access. It helps to collect useful information and data which is impossible using probability sampling technique, which requires formal access to the population list (Goertz and Mahoney, 2012). This sampling is simple and efficient but is not a favorite because in these studies the key is to extract the maximum amount of information in a few cases of the sample and the method for convenience cannot provide the richest sources of information. This is a simple and cost-effective process that allows you to switch to other methods as data is collected (Goertz and Mahoney, 2012). As in quantitative research, it is a matter of selecting cases that are available or convenient for the researcher. It is highly recommended because it reflects that the researcher has not thought much about the strategy for choosing subjects or observation units. Furthermore, it is almost always possible to identify some criteria