2013
DOI: 10.4314/majohe.v4i2.4
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Sampling in Qualitative Research: Improving the Quality of Research Outcomes in Higher Education

Abstract: Sampling consideration in qualitative research is very important, yet in practice this appears not to be given the prominence and the rigour it deserves among Higher Education researchers. Accordingly, the quality of research outcomes in Higher Education has suffered from low utilisation. This has motivated the production of this paper with a view to advocating for sampling so that sample size selection and sampling designs are made very crucial considerations in research designs. The paper is a desk review an… Show more

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Cited by 79 publications
(63 citation statements)
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“…From this population, about 3123 people (11.6%) had access to the forest [43]. e sample size was determined by the formula: n � z 2 (pq/d 2 ) [44], whereby n � the desired minimum sample size, z � the standard normal deviation at set confidence interval, d � the acceptable range of error (0.05), p � the proportion of individuals accessing the forest (11.6%), and q � the proportion of individuals not accessing the forest � 1 − p (88.4%). Hence, d � 0.05, p � 0.116, z � 1.96 at 95% confidence level, and q � 0.884. us, n � 1.96 2 ((0.116 * 0.884)/0.05 2 ) � 157. erefore, the desired sample size was 157 local community members from the homesteads.…”
Section: Population Sample Size and Samplingmentioning
confidence: 99%
“…From this population, about 3123 people (11.6%) had access to the forest [43]. e sample size was determined by the formula: n � z 2 (pq/d 2 ) [44], whereby n � the desired minimum sample size, z � the standard normal deviation at set confidence interval, d � the acceptable range of error (0.05), p � the proportion of individuals accessing the forest (11.6%), and q � the proportion of individuals not accessing the forest � 1 − p (88.4%). Hence, d � 0.05, p � 0.116, z � 1.96 at 95% confidence level, and q � 0.884. us, n � 1.96 2 ((0.116 * 0.884)/0.05 2 ) � 157. erefore, the desired sample size was 157 local community members from the homesteads.…”
Section: Population Sample Size and Samplingmentioning
confidence: 99%
“…From this population about 3123 people (11.6%) had access to the forest (Rotich, 2019). The sample size was determined by the formula: (Omona, 2013).…”
Section: Population Sample Size and Samplingmentioning
confidence: 99%
“…Snowballing (a seed person recommends to the researcher the next participant sharing the same characteristic) is the most common strategy in qualitative research, while convenience sampling is typical in quantitative research (questionnaires distributed to all students of a certain ethnic background in school or to all members of an ethnic organization). The qualitative researchers' anti-positivist inclination sometimes leads to disregarding the importance of describing the sampling procedures, which creates problems with reliability and replicability (Omona, 2013).…”
Section: Samplingmentioning
confidence: 99%