Question
Download Solution PDFWrite the following steps of sampling procedure in a correct order.
(A) Preparing sampling frame
(B) Applying the sampling technique
(C) Administer the tool
(D) Define the universe to be studied
Choose the correct answer from the options given below:
Answer (Detailed Solution Below)
Option 2 : (D), (A), (B), (C)
Detailed Solution
Download Solution PDFThe correct answer is - (D), (A), (B), (C)
Key Points
- Define the universe to be studied
- The first step is to clearly identify and define the population or universe that is the focus of the study.
- It involves specifying the characteristics of the group being studied.
- Preparing sampling frame
- A sampling frame is a list of elements from which the sample will be drawn.
- This step ensures that every element of the population has a chance of being included in the sample.
- Applying the sampling technique
- In this step, the researcher selects a sample from the sampling frame using a specific sampling technique.
- Common techniques include random sampling, stratified sampling, and cluster sampling.
- Administer the tool
- Finally, the researcher uses the selected sample to administer the data collection tool, such as surveys or interviews.
- This step involves gathering the necessary data from the chosen sample.
Additional Information
- Importance of Sampling
- Sampling allows researchers to draw conclusions about a population without having to survey everyone.
- It is cost-effective and less time-consuming than studying the entire population.
- Types of Sampling Techniques
- Probability Sampling
- Each member of the population has a known, non-zero chance of being selected.
- Examples include simple random sampling, stratified sampling, and cluster sampling.
- Non-Probability Sampling
- Members are selected based on non-random criteria, and not all members have a chance of being included.
- Examples include convenience sampling, judgmental sampling, and quota sampling.
- Probability Sampling
- Sampling Frame Errors
- Occurs when the sampling frame does not perfectly match the population.
- This can result in some elements of the population being excluded or overrepresented.