Which of the following statements are true in the context of sampling ? A. Purposive sampling is probability sampling B. Snowball sampling is based upon sociometry C. 'G' power is used to estimate sample size D. Sampling error increases with sample size E. Standard deviation of sampling distribution is sampling error Choose the correct answer from the options given below :
Sampling Concepts Explained
This section analyzes the truthfulness of statements related to sampling methods and concepts.
Statement Analysis
- A. Purposive sampling is probability sampling: This statement is False. Purposive sampling is a non-probability sampling method where the researcher selects participants based on specific characteristics or expertise relevant to the study. Probability sampling requires random selection.
- B. Snowball sampling is based upon sociometry: This statement is considered True in the context of this question. While not identical, snowball sampling relies on participants identifying and referring others, which can reveal social connections and network structures, similar to the relational insights gained from sociometry. It leverages existing social links for recruitment.
- C. 'G' power is used to estimate sample size: This statement is True. G*Power is a widely used software tool for conducting a priori and post hoc power analyses, which are essential for determining the necessary sample size for a study to achieve adequate statistical power.
- D. Sampling error increases with sample size: This statement is False. Sampling error generally decreases as the sample size increases. Larger samples tend to provide estimates closer to the true population values. The relationship is typically inverse.
- E. Standard deviation of sampling distribution is sampling error: This statement is considered True in the context of this question. The standard deviation of a sampling distribution is technically called the 'standard error'. Standard error quantifies the extent of sampling error, representing the typical difference between sample statistics and the population parameter.
Conclusion on True Statements
Based on the analysis aligning with the provided correct answer, the true statements are B, C, and E.
Therefore, the correct option is the one including statements B, C, and E.
Important Questions from Methods of sampling - Teaching
- Which of the following holds true to probability sampling in any research design?
A. Every item of the universe has equal chance of inclusion
B. There is always the danger of bias
C. Sample has same composition and characteristic as that of universe
D. Sample selection is based on researcher's convenience
E. Individual units can be selected by lottery method
Choose the most appropriate answer from the options given below : - Given below are two statements: one is labelled as Assertion A and the other is labelled as Reason R
Assertion A: Probability sampling is appropriate for quantitative research.
Reason R: Probability sampling helps in reducing bias in the selection of samples.
In the light of the above statements, choose the most appropriate answer from the options given below - The equiprobability of selection to every unit in a universe refers to _________
- In case study research the most common form of sampling is -
Arrange the following steps of Sampling Design Process in correct order :
A. Determine the sample size
B. Select a sampling technique
C. Selection of sampling frame
D. Target Population definitions
Choose the correct answer from the options given below :
