Sampling Strategy And Sample Size For A Quantitative Research Plan
When a researcher is constructing a sampling method, the questions about the population where the sample will come from and the size of the sample to be used come into play for the purpose of seeking statistical validity (Frankfort-Nachmias & Nachmias, 2008). Parahoo (2014) explains that, in order for sampling method or strategy to be considered credible, defining the population to be sampled, type of sampling, sample size, sampling mistakes and how the bias and errors will be controlled is essential. My study question is seeking to find whether there is relationship between use of barcode medication administration (BCMA) system and the cases of medication errors reported from inpatient nursing units. In this paper, the population of interest is identified; sampling method discussed and determination of sample size is explored.
The target population in this study will be a group of nurses drawn from two neighboring hospitals with a total of 1,240 inpatient beds and whom their role includes administering medications to patients. This will be carried out in two parts, before and after the implementation of barcode medication administration (BCMA) technology system. The data collected through this group will be used to draw conclusion whether or not the BCMA technology has any significant effects on patients’ safety (medication errors).
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