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Sampling in Theory (Version 2.0)
[working paper]
Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften
Abstract This contribution is devoted to the theoretical foundations of sampling. It is organised as follows: First, the reader is introduced to sampling terminology; terms such as (theoretical) population, accessible population, and sampling frame are discussed. The different types of random samples are the... view more
This contribution is devoted to the theoretical foundations of sampling. It is organised as follows: First, the reader is introduced to sampling terminology; terms such as (theoretical) population, accessible population, and sampling frame are discussed. The different types of random samples are then addressed individually. When doing so, the formulae are presented for simple random, stratified, systematic, and cluster sampling; for two-stage sampling procedures; and for sampling procedures with unequal inclusion probabilities. The contribution concludes by explaining how the necessary sample size is determined.... view less
Keywords
sampling error; data capture; sample; sampling theory; random sample; survey research
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language
English
Publication Year
2016
City
Mannheim
Page/Pages
14 p.
Series
GESIS Survey Guidelines
Status
Primary Publication; peer reviewed
Licence
Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0