A sample is a subset of a population and we survey the units from the sample with the aim to learn about the entire population. However, the sampling theory was basically developed for probability sampling, where all units in the population have known and positive probabilities of inclusion. This definition implicitly involves randomization, which is a process resembling lottery drawing, where the units are selected according to their inclusion probabilities. In probability sampling the randomized selection is used instead of arbitrary or purposive sample selection of the researcher, or, instead of various self-selection processes run by respondents. Within this context, the notion of non-probability sampling denotes the absence of probabil...
The inferential quality of an available data set, be it from a probability sample or a nonprobabili...
This contribution is devoted to the theoretical foundations of sampling. It is organised as follows:...
Overview of probability and non-probability sampling techniques in quantitative research.
Executive Summary- Probability sampling has a well-developed, relatively straightforward, design-bas...
Nonprobability sampling describes any method for collecting survey data which does not utilize a ful...
Non-probability samples are a topic of growing relevance in academic and applied research as well as...
A significant way of investigating a firm’s market is the statistical sampling. The sampling typolog...
Judgement sampling in market research and opinion polling is standardly criticized as unsatisfactory...
There is an ongoing debate in the survey research literature about whether and when probability and ...
There is an ongoing debate in the survey research literature about whether and when probability and ...
The purpose of this study is to show the use of random sampling in solving certain mathematical prob...
This paper compares the usability of data stemming from probability sampling with data stemming fro...
Abstract. Almost any type of sample has some utility when estimating population quantities. The focu...
This paper introduces a formal presentation of sampling process using principles and concepts from P...
Quantitative researchers need a probabilistic sample to generalise their findings, but research cons...
The inferential quality of an available data set, be it from a probability sample or a nonprobabili...
This contribution is devoted to the theoretical foundations of sampling. It is organised as follows:...
Overview of probability and non-probability sampling techniques in quantitative research.
Executive Summary- Probability sampling has a well-developed, relatively straightforward, design-bas...
Nonprobability sampling describes any method for collecting survey data which does not utilize a ful...
Non-probability samples are a topic of growing relevance in academic and applied research as well as...
A significant way of investigating a firm’s market is the statistical sampling. The sampling typolog...
Judgement sampling in market research and opinion polling is standardly criticized as unsatisfactory...
There is an ongoing debate in the survey research literature about whether and when probability and ...
There is an ongoing debate in the survey research literature about whether and when probability and ...
The purpose of this study is to show the use of random sampling in solving certain mathematical prob...
This paper compares the usability of data stemming from probability sampling with data stemming fro...
Abstract. Almost any type of sample has some utility when estimating population quantities. The focu...
This paper introduces a formal presentation of sampling process using principles and concepts from P...
Quantitative researchers need a probabilistic sample to generalise their findings, but research cons...
The inferential quality of an available data set, be it from a probability sample or a nonprobabili...
This contribution is devoted to the theoretical foundations of sampling. It is organised as follows:...
Overview of probability and non-probability sampling techniques in quantitative research.