The statistical concept of sampling is often given little direct attention, typically reduced to the mantra "take a random sample". This low resource and adaptable activity demonstrates sampling and explores issues that arise due to biased sampling
Social statistical studies have demonstrated that different sampling techniques can cause diverse bi...
Chapter objectives: To provide an introduction to the features of non-probabilistic sampling and how...
This presentation covers probability and non-probability sampling in the social sciences. It also ad...
Sampling bias means that the samples of a stochastic variable that are collected to determine its di...
In most research programmes, the initial sample is randomly selected, whereas the final sample is se...
What is a sample? A sample is a subset of your population by which you select to be participants in ...
In the past twenty years, the sampling Standards documents of a number of countries have been revise...
Applied statistics research plays pivotal role in diverse problems of social sciences, agricultural ...
Data have become extremely important in the world today. Information is everywhere, and people are w...
The purpose of this study is to show the use of random sampling in solving certain mathematical prob...
Judgement sampling in market research and opinion polling is standardly criticized as unsatisfactory...
This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics ...
The article points out that a large proportion of primary research being carried out in at least one...
In survey sampling practice, unplanned or extreme variation in the sampling weights may result from ...
In survey sampling practice, unequal sampling weights ( the inverse of the selection probabilities) ...
Social statistical studies have demonstrated that different sampling techniques can cause diverse bi...
Chapter objectives: To provide an introduction to the features of non-probabilistic sampling and how...
This presentation covers probability and non-probability sampling in the social sciences. It also ad...
Sampling bias means that the samples of a stochastic variable that are collected to determine its di...
In most research programmes, the initial sample is randomly selected, whereas the final sample is se...
What is a sample? A sample is a subset of your population by which you select to be participants in ...
In the past twenty years, the sampling Standards documents of a number of countries have been revise...
Applied statistics research plays pivotal role in diverse problems of social sciences, agricultural ...
Data have become extremely important in the world today. Information is everywhere, and people are w...
The purpose of this study is to show the use of random sampling in solving certain mathematical prob...
Judgement sampling in market research and opinion polling is standardly criticized as unsatisfactory...
This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics ...
The article points out that a large proportion of primary research being carried out in at least one...
In survey sampling practice, unplanned or extreme variation in the sampling weights may result from ...
In survey sampling practice, unequal sampling weights ( the inverse of the selection probabilities) ...
Social statistical studies have demonstrated that different sampling techniques can cause diverse bi...
Chapter objectives: To provide an introduction to the features of non-probabilistic sampling and how...
This presentation covers probability and non-probability sampling in the social sciences. It also ad...
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