Developing Sampling Frame for Case Study: Challenges and Conditions

Abstract

Due to statistical analysis, the issue of random sampling is pertinent to any quantitative study. Unlike quantitativestudy, the elimination of inferential statistical analysis, allows qualitative researchers to be more creative in dealingwith sampling issue. Since results from qualitative study cannot be generalized to the bigger population, qualitativeresearchers do not have to endure the strenuous randomization process of sampling procedure. However, qualitativeresearchers should not take sampling procedures too lightly, and if they do, it will affect the richness and theappropriateness of the data. The chances are, the data will not answer their research questions and this can frustratethe researchers when making meanings to the data. This paper will examine the available methods in samplingparticipants for qualitative study. Specifically, the paper will discuss the sampling frame suitable for case study, suchas single-case (holistic and embedded), multi-case, and a snowball or network sampling procedure. Discussion willalso involve challenges anticipated for each procedure.