In This Assignment You Will Create A Presentation That Refle

In This Assignment You Will Create A Presentation That Reflects On Yo

In this assignment, you will create a presentation that reflects on your proposed problem of interest and evaluates sampling techniques that would create a meaningful study pertaining to this problem. Step 1: Reflect on your proposed research question or problem of interest. Step 2: Consider different sampling techniques. Think about how you would compare and contrast the following sampling techniques: Simple Random Sample, Stratified Random Sample, Cluster Random Sample, Systematic Random Sample. Consider which of these sampling techniques you might employ for your research study. What are the advantages and disadvantages of each? Step 3: Consider who your audience might be if you were to deliver your presentation in person. What would you want them to know about this topic? What would you expect them to already know? Step 4: Create a 10- to 12-slide presentation that evaluates and briefly summarizes the various sampling techniques listed in Step 2. Describe the sampling technique(s) you will use in your research and explain how your choice of sampling technique(s) will help you to create a meaningful study cohort. Address the following questions in your presentation: Who/what will your proposed sample consist of? How will subjects be recruited? Are there any special considerations about your population of interest that might pose barriers to obtaining a sample? What are the advantages and disadvantages of the sampling method(s) you plan to use? What potentials for error and bias related to sampling exist? Step 5: Review your presentation to ensure that you are using best practices for formatting slides. Include a title screen and summary screen. Avoid making slides too text heavy or dense with text. As a guideline, limit text on each slide to five bullet points of six words each. If using graphics, be sure that they are professional, reinforce your points, and are not used merely for decoration. Be sure to add what you would say if delivering the presentation to a live audience in the notes section of each slide. Make sure that the format of your presentation is professional and visually attractive. Cite any sources in APA format.

Paper For Above instruction

Creating a well-designed presentation on sampling techniques is essential for understanding how researchers collect data that accurately represents a target population. This presentation will explore key sampling methods—Simple Random Sampling, Stratified Random Sampling, Cluster Sampling, and Systematic Sampling—highlighting their advantages, disadvantages, and suitability in various research contexts. The goal is to inform an audience about choosing an appropriate sampling technique for a research study that minimizes bias and enhances validity.

The first step in developing this presentation involves reflecting on the research problem or question. For example, suppose the focus is on studying student perceptions of online learning in a university. The target population could be all enrolled students at the institution. Identifying this problem frames the discussion of sampling because the choice of sampling method impacts the representativeness of the student perceptions gathered.

Next, the presentation will compare the four sampling techniques. Simple Random Sampling (SRS) involves selecting a sample entirely by chance, such as drawing names from a hat. Its primary advantage is the minimization of selection bias, offering each member an equal probability of inclusion. However, SRS can be inefficient and impractical for large populations due to the need for a complete sampling frame.

Stratified Random Sampling divides the population into subgroups or strata based on specific characteristics—like year of study or major—and then randomly selects samples within each stratum. This method ensures representation across key segments, improving precision and reducing sampling error. Its disadvantages include increased complexity in planning and the need for detailed population information.

Cluster Sampling involves dividing the population into clusters—such as classrooms or departments—and randomly selecting entire clusters for study. It is cost-effective and practical when the population is geographically dispersed. However, the risk of cluster variability can introduce bias, and the method might be less precise if clusters are heterogeneous.

Systematic Sampling involves selecting every kth individual from an ordered list, starting at a random point. This approach is straightforward and less cumbersome than pure random sampling but can introduce bias if there is an underlying pattern in the list that corresponds with the sampling interval.

The presentation will then address who the sample will consist of—such as students in diverse majors—and how they will be recruited, possibly through email invitations, class announcements, or campus outreach. Consideration will be given to potential barriers like low response rates or accessibility issues for certain student groups. The chosen sampling method’s advantages should align with resource constraints and study goals, while disadvantages, such as bias potential or logistical challenges, are acknowledged.

Finally, the presentation will review best practices in slide design, emphasizing clarity, minimal text, professional visuals, and effective use of notes for delivery. Each slide will have no more than five bullet points of six words each, reinforced with relevant graphics. The summary slide will synthesize key points, emphasizing the importance of appropriate sampling in conducting valid, generalizable research.

References

• Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
• Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4.
• Lohr, S. L. (2010). Sampling: Design and analysis. Cengage Learning.
• Lavrakas, P. J. (2008). Sample design and selection. In Encyclopedia of survey research methods. Sage.
• Daniel, J. (2012). Sampling Essentials: Practical Guidelines for Making Sampling Choices. Sage.
• Fowler, F. J. (2014). Survey Research Methods. Sage Publications.
• Bhattacherjee, A. (2012). Social Science Research: Principles, Methods, and Practices. University of South Florida Scholar Commons.
• Rosenberg, M. (2007). Practical Strategies for Sampling. Journal of Mixed Methods Research, 1(1), 78-99.
• Walpole, R. E., Myers, R. H., Myers, S. L., & Ye, K. (2012). Probability and nonprobability sampling. In Probability and statistics for engineering and the sciences (9th ed., pp. 172-202). Cengage Learning.
• Hansen, M. H., Mladenović, S., & Warning, J. (2015). Ethical considerations in sampling: Challenges and strategies. Journal of Academic Ethics, 13(3), 211-226.