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| Title Details: | |
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Introduction |
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| Authors: |
Papageorgiou, Ioulia |
| Reviewer: |
Karakostas, Konstantinos |
| Description: | |
| Abstract: |
In this chapter, the main stages of a sampling survey are described, and an introduction to Sampling Theory is provided. Sampling surveys are based on data collected from a subset of the population, the sample, and aim to draw conclusions about unknown parameters of the population. Both their use and subject matter are extensive. Sampling methods are divided into probability sampling and non-probability sampling methods. For samples selected according to a probability method, drawing conclusions and generalizing them to the population is possible through the use of inferential statistics. For data collected using a non-probability sample, descriptive statistics can be applied to present the survey results, but generalizing these results to the population is not possible. In summary, Sampling Theory is the field of statistics that includes the methodology (a) for selecting a sample from a larger population and (b) for drawing reliable conclusions regarding the research questions that apply to the population. The most well-known probability-based sampling methods are simple random sampling, systematic sampling, stratified sampling, and cluster sampling.
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| Technical Editors: |
Mourikis, Christos |
| Type: |
Chapter |
| Creation Date: | 2015 |
| Item Details: | |
| License: |
http://creativecommons.org/licenses/by-nc-sa/3.0/gr |
| Handle | http://hdl.handle.net/11419/1297 |
| Bibliographic Reference: | Papageorgiou, I. (2015). Introduction [Chapter]. In Papageorgiou, I. 2015. Sampling Theory [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/1297 |
| Language: |
Greek |
| Is Part of: |
Sampling Theory |
| Publication Origin: |
Kallipos, Open Academic Editions |