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Sampling Methods

Title: Sampling Methods

Scientific Essay , 2011 , 8 Pages , Grade: A

Autor:in: Dessalegn Oulte (Author)

Business economics - Offline Marketing and Online Marketing
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Summary Excerpt Details

scholars in the field assert that sampling is the process of selecting a sub set of randomized number of members of the population of a study and collecting data about their attributes. Population attributes can be best inferred with minimum cost and time frame through sampling. The adivantages of sampling over cencus are that it takes less time to collect,manage and organize data and it poses less cost for researcher to collect,manage and organize data, and more accuracy of data collected due to its limited size.Hence, the understanding of sampling methods is crucial for the right research in order to save resource ,time and effort.This paper gives highlight about different types of Sampling Methods,their adivantages and disadivantages.

Excerpt


Inhaltsverzeichnis (Table of Contents)

  • Sampling Methods
    • Census vs. Sampling
    • Sampling Method
    • Taxionomy Of Sampling Methods
      • Probability sampling methods
        • Simple Random Sampling
        • Stratified sampling
          • Proportionate Stratified Sampling
          • Disproportionate Stratified Sampling
        • Systematic Sampling
        • Cluster sampling
        • Multi-stage sampling
      • Non probability sampling
        • Convenience sampling
        • Quota sampling
          • Proportionate Quota Sampling
          • Non Proportionate Quota Sampling
        • Purposive Sampling

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This term paper aims to provide a comprehensive overview of sampling methods used in research. It explores the different categories of sampling methods, examining their advantages, disadvantages, and the appropriate contexts in which they should be applied. The paper delves into the various methods within each category, including probability and non-probability sampling techniques.

  • Types of sampling methods and their characteristics
  • Strengths and limitations of each sampling technique
  • Factors to consider when choosing a sampling method
  • The application of sampling methods in various research contexts
  • Practical considerations in implementing sampling methods

Zusammenfassung der Kapitel (Chapter Summaries)

The paper begins by differentiating between census and sampling methods, highlighting the advantages of sampling over census in terms of time, cost, and accuracy. It then introduces the various types of probability sampling, including simple random sampling, stratified sampling, systematic sampling, cluster sampling, and multi-stage sampling. Each method is explained in detail with illustrative examples.

The paper further discusses non-probability sampling methods such as convenience sampling, quota sampling, and purposive sampling. The advantages and disadvantages of each method are outlined, and the factors that influence the choice of non-probability sampling are examined.

Schlüsselwörter (Keywords)

The key terms and topics covered in this paper include sampling methods, probability sampling, non-probability sampling, simple random sampling, stratified sampling, systematic sampling, cluster sampling, multi-stage sampling, convenience sampling, quota sampling, purposive sampling, sample frame, sample size determination, sampling distribution, sampling prerequisites, sampling models, common problems in sampling, sampling test, sampling design and sampling process.

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Details

Title
Sampling Methods
Course
Research in Anthropology
Grade
A
Author
Dessalegn Oulte (Author)
Publication Year
2011
Pages
8
Catalog Number
V171239
ISBN (eBook)
9783640905140
Language
English
Tags
sampling methods
Product Safety
GRIN Publishing GmbH
Quote paper
Dessalegn Oulte (Author), 2011, Sampling Methods, Munich, GRIN Verlag, https://www.grin.com/document/171239
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