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Methodology of Research and Statistical Techniques Seema Sharma, Lovely Professional University
Notes
Unit 6: Sampling Techniques
CONTENTS
Objectives
Introduction
6.1 Population Definition
6.2 Sampling Frame
6.3 Probability and Non-probability Sampling
6.4 Precision and Accuracy of Sample Based Research
6.4.1 Quality of Survey Results
6.4.2 Sample Design
6.5 Summary
6.6 Keywords
6.7 Review Questions
6.8 Further Readings
Objectives
After studying this unit, you will be able to:
• Describe probability and non-probability sampling.
• Define sampling methods.
• Explain precision and accuracy of sample based research.
Introduction
Sampling is that part of statistical practice concerned with the selection of individual observations
intended to yield some knowledge about a population of concern, especially for the purposes
of statistical inference. Each observation measures one or more properties (weight, location,
etc.) of an observable entity enumerated to distinguish objects or individuals. Survey weights
often need to be applied to the data to adjust for the sample design. Results from probability
theory and statistical theory are employed to guide practice.
The sampling process comprises several stages:
• Defining the population of concern,
• Specifying a sampling frame, a set of items or events possible to measure,
• Specifying a sampling method for selecting items or events from the frame,
• Determining the sample size,
• Implementing the sampling plan,
• Sampling and data collecting,
• Reviewing the sampling process.
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