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SAMPLE SELECTION TECHNIQUE IN DOCTORAL RESEARCH WORK

H. Jashari

First published: 2018https://doi.org/10.5593/sgemsocial2018/3.4/S13.079View metrics

Abstract

It is very often the case that students have problems and make mistakes while using and determining the right and consistent sample in their dissertation research. This is also the duty of the supervisor-mentor to follow the student and timely make the right intervention. The sampling technique is viewed in several aspects and it is essentially a statistical operation. It is about to economize and accelerate the process of collecting the factual material. In essence, we are dealing with a large number of population we need to investigate, and thus with the sample we choose a small population that is similar and adequately represented by the total population. The designation of the sample to be investigated, that is, the part chosen as a representative, passes through the following stages: The first, is the appropriate number that is considered as the representative, letВ’s say 0.5% of the total population, the variety of the basic population that should be present in the sample, and then the random selection, etc. For example, a principle is that of gender that usually spins around 50% of the population and we should consider this if we do a research on public opinion. Then other 50% of the population should be divided by age and regions representation, etc. But our question is Г«hether the students are devoting their sample research and are they aware that if there is any omission in the sample selection, everything in the research development goes wrong. So the collected data are not usable or are of low credibility? By means of examples and analysis of the documentation we willll interpret some of the first hand data from the analysis of the doctoral materials.

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Publication details

Title
SAMPLE SELECTION TECHNIQUE IN DOCTORAL RESEARCH WORK
Authors
H. Jashari
Proceedings
5th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2018
Publisher
STEF92 Technology
Year
2018
Pages
623-630
SWS Citekey
Jashari201813623630
ISSN
2367-5659
ISBN
978-619-7408-56-0
Language
en
Publication type
Proceedings Paper
Keywords
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