Answer:
Dear Susan,
I wanted to provide you with some guidance on how to take a sample of the student population that may not represent the population well for your research purposes. While this is typically not recommended for obtaining accurate results, it can be useful in certain scenarios for understanding biases and limitations in data collection.
Here are some steps to consider:
1. Selection Bias
To introduce selection bias, try selecting a specific subset of students that doesn't accurately reflect the diversity of the entire student population. Focus on a narrow group, such as students from a single class, dormitory, or department, without considering the broader student body.
2. Convenience Sampling
Use convenience sampling, where you only choose students who are easily accessible or readily available. For instance, you could select students who happen to be in the same building or area at a particular time, rather than ensuring a random or representative sample.
3. Voluntary Response Bias
Encourage students to voluntarily opt into your study without actively seeking out diverse participants. Those who self-select to participate may have different characteristics or opinions compared to the wider student population.
4. Small Sample Size
Keep the sample size relatively small compared to the total student population. A smaller sample is less likely to capture the full diversity and complexity of the entire group.
5. Exclusion Criteria
Apply exclusion criteria that systematically remove specific groups or demographics from the sample. For example, exclude international students, freshmen, or students from particular majors without valid reasons.
6. Sampling from a Single Location
Focus your sample on students from a single location, such as the main campus, and disregard satellite campuses or online students, even though they may have different characteristics or experiences.
7. Time Constraint
Conduct your data collection during a specific time frame that doesn't account for potential variations in characteristics or attitudes across different periods of the academic year.
8. Ignoring Demographics
Overlook important demographic factors like age, gender, ethnicity, or socioeconomic status when selecting participants.
Please note that conducting research with a non-representative sample can lead to biased or skewed results. Carefully consider your research goals and the implications of using such a sample. In most cases, striving for a sample that accurately reflects the population you intend to study is essential for obtaining meaningful and valid research findings.
Feel free to reach out if you have any further questions or need additional guidance through proffrank01[at]gm ail. co m or discord (Username: proffrank01).
Step-by-step explanation: