Qualities of a Good Sample
A well-designed sample is crucial for obtaining reliable and valid results in research. Here are the essential qualities that define a good sample:

1. Representativeness
- A good sample accurately reflects the characteristics of the larger population.
- It should include diverse sub-groups to ensure all segments are represented.

2. Size
- The sample size should be adequate to provide statistical significance.
- Larger samples reduce the margin of error and enhance the reliability of results.

3. Randomness
- A good sample is selected randomly to minimize selection bias.
- Random sampling allows every individual in the population an equal chance of being selected.

4. Homogeneity
- Within the sample, participants should share similar characteristics relevant to the study.
- This helps in reducing variability and isolating the effects of the variables being studied.

5. Accessibility
- The sample should be accessible and available for the research.
- This ensures that the study can be conducted efficiently without logistical issues.

6. Ethical Considerations
- A good sample respects the rights and privacy of participants.
- Informed consent must be obtained, ensuring participants are aware of the study's purpose.

7. Stability
- The sample should remain stable over time, especially in longitudinal studies.
- Consistency helps in tracking changes and understanding trends effectively.
In summary, a good sample is representative, adequately sized, randomly selected, homogeneous, accessible, ethically sound, and stable. These qualities ensure the validity and reliability of research findings.