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3rd/4th Sem Research Methodology Notes

Criteria for Selecting a Sampling Procedure: A Guide to Choosing the Best Sampling Technique for Your Research

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Last updated: 27 February 2023

Sampling design is a crucial aspect of conducting high-quality research. It involves selecting a representative subset of the population to participate in the research project. In this article, we will discuss the criteria for selecting a sampling procedure to ensure that the sample is representative of the population.

1. Sample Size

Sample size is an essential criterion for selecting a sampling procedure. The sample size should be large enough to ensure that the research findings are generalizable to the population. A larger sample size reduces the risk of sampling error and provides a more accurate representation of the population.

2. Population Size

Population size is another criterion for selecting a sampling procedure. For smaller populations, a census can be conducted. For larger populations, sampling techniques, such as simple random sampling, stratified sampling, or cluster sampling, may be used.

3. Sampling Error

Sampling error is the degree to which the sample statistics differ from the population parameters. Sampling error can be reduced by increasing the sample size or by using appropriate sampling techniques, such as stratified sampling or cluster sampling.

4. Sampling Bias

Sampling bias is a systematic error that occurs when the sample does not accurately represent the population. Sampling bias can be reduced by using appropriate sampling techniques, such as random sampling or stratified sampling, and by ensuring that the sample is representative of the population.

5. Sampling Frame

The sampling frame is a list of individuals or units in the population. The sampling frame should be complete, up-to-date, and accurate. A well-designed sampling frame ensures that the sample is representative of the population.

6. Cost and Time

Cost and time are also essential criteria for selecting a sampling procedure. The sampling technique should be cost-effective and time-saving. For example, simple random sampling may be a cost-effective and time-saving sampling technique for smaller populations.

Conclusion

In conclusion, selecting the appropriate sampling procedure is essential for conducting high-quality research. The criteria for selecting a sampling procedure include sample size, population size, sampling error, sampling bias, sampling frame, and cost and time. By selecting the appropriate sampling procedure and ensuring that the sample is representative of the population, researchers can produce high-quality research findings. By conducting high-quality sampling in research, researchers can ensure that the research findings are generalizable to the population and provide valuable insights into the research question and objectives.

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Syllabus – Research Methodology

01 Introduction To Research Methodology

  1. Meaning and objectives of Research
  2. Types of Research
  3. Research Approaches
  4. Significance of Research
  5. Research methods vs Methodology
  6. Research Process
  7. Criteria of Good Research
  8. Problems faced by Researchers
  9. Techniques Involved in defining a problem

02 Research Design

  1. Meaning and Need for Research Design
  2. Features and important concepts relating to research design
  3. Different Research design
  4. Important Experimental Designs

03 Sample Design

  1. Introduction to Sample design
  2. Censure and sample survey
  3. Implications of Sample design
  4. Steps in sampling design
  5. Criteria for selecting a sampling procedure
  6. Characteristics of a good sample design
  7. Different types of Sample design
  8. Measurement Scales
  9. Important scaling Techniques

04 Methods of Data Collection

  1. Introduction
  2. Collection of Primary Data
  3. Collection through Questionnaire and schedule collection of secondary data
  4. Differences in Questionnaire and schedule
  5. Different methods to collect secondary data

05 Data Analysis Interpretation and Presentation Techniques

  1. Introduction
  2. Hypothesis Testing
  3. Basic concepts concerning Hypothesis Testing
  4. Procedure and flow diagram for Hypothesis Testing
  5. Test of Significance
  6. Chi-Square Analysis
  7. Report Presentation Techniques