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.