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.
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.
- Citar trabajo
- Dessalegn Oulte (Autor), 2011, Sampling Methods, Múnich, GRIN Verlag, https://www.grin.com/document/171239
