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The pros of convenience sampling lie primarily with the ease with which researchers can get started collecting data. Thus, the choice of technique to be used depends on the type and nature of the study. Despite these survey results, analyses of participants' samples disclosed multiple deviations from the properties of random samples. Further explains that, "captive participants such as students in the researchers own institution are main examples of convenience sampling" [, Convenience Sampling is affordable, easy and the subjects are readily available. WebSampling, which basically consist of sample size and sampling designs considerations, is very important in all qualitative research. This innate desire for task efficiency suggests that, when haphazard sampling is employed, population elements that are easy to locate will be selected more often than population elements that are difficult to locate. Here, the analysts target is pregnant women who come for second ANC and those who come for first, third and 4 or more ANCs are excluded. 19. New Jersey: Lawrence Erlbaum Associates, Inc. Also, comparisons of samples selected by students versus those selected by audit seniors exhibited no systematic relationship between audit experience and the ability to emulate random sampling. Even though convenience sampling can be easy to obtain, its disadvantages can outweigh this advantage. Haphazard sampling is a sampling technique that doesn't observe any systematic approach of choosing individuals. Haphazard sampling is a nonstatistical technique used to approximate random sampling by selecting sample items without any conscious bias and without any specific reason for including or excluding items (AICPA 2012, 31). As the name describes, the researcher chooses subjects because of convenience. And continually iterate and improve them. As sample size increase the statistical power of the convenience sample also increases while in purposive sampling, Sample size is determined by data saturation not by statistical power analysis [23]. Sampling is the use of a subset of the population to represent the whole population or to inform about (social) processes that are meaningful beyond the particular cases, individuals or sites studied. Therefore, inferences based on convenience sampling should be made only about the sample itself.