(2015), a population or universe denotes the features of a specific group, which is the parent bunch from which a sample is to be constructed. According to Walliman (2017), a population does not refer to
a particular number of people, units, or elements but rather to a total quantity of a specific type of individual, unit, or case relevant to the researcher’s subject. The population for this study will include the Komfo Anokye Teaching Hospital health professionals involved in the management of the cold chain.
3.6.1 Sample Size and Sampling TechniqueBecause this
study sought many respondents, the sample size was established using purposive and convenience sampling procedures to achieve a sample size of the required number of respondents. This study used a non-probability sampling technique. The decision to include a certain element in the sample is not based on chance in non-probability sampling. The important respondents, primarily healthcare professionals, were identified
via purposeful sampling, a non-probability sampling technique. Due to a large number of respondents/populations, non-response, time, and cost constraints, the study employed the
purposive sampling technique, which entails the researcher using his or her discretion to select a sample that, in his or her opinion, possesses the necessary knowledge and expertise to provide the required information for the study (Greener, 2008). Convenient sampling aided the purposive sampling by picking samples that are both accessible and eager to participate in the study (Teddlie and Yu, 2007). Owing
to a gigantic sampling frame, the researchers relying on their judgement and contacts, a hundred (100) respondents were selected for the study.
This represents the sample size.
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