Selective Sampling

What is Selective Sampling?

Selective sampling is a process where samples are chosen from a larger group based on the needs of a specific exam, survey, or study. This method, also known as purposive, subjective, or judgmental sampling, allows researchers to tailor their sample to the objectives of their investigation.

Sampling Techniques

• Standard Case Sampling: Used to study typical members of the parent sample, providing insights into average phenomena
• Heterogeneous Sampling: Gathers diverse perspectives on the research topic by including a variety of viewpoints, from common to extreme, within the population.
• Homogeneous Sampling: Selects participants from similar backgrounds or professions, often used when focusing on specific characteristics or regions of interest.
• Critical Sampling: Chooses a single, information-rich case expected to offer insights applicable to similar situations.
• Extreme Sampling: Analyzes outliers to understand anomalies and uncover patterns that deviate from the norm.

Advantages of Selective Sampling

• Low-cost strategy, relying on informed selection to achieve precise results.
• Effective across various populations, especially for smaller sample sizes, to identify distinguishing features.
• Targets specific audiences effectively, tailoring data collection to meet criteria with minimal error.
• Identifies averages in data and generates real-time results based on specialized knowledge

Disadvantages of Selective Sampling

• Susceptible to analyst bias due to subjective selection criteria.
• Challenges in proving that the sample is representative of the broader population of interest.