Population vs. Sample Research
Respond to the following in a minimum of 175 words:
As you are aware, a good hypothesis should tell the reader what you expect to happen from your research or experiment. Remember, a hypothesis does not have to be correct.
Check out our Essay writing services
Population vs. Sample Research
- When might you as a researcher want to study an entire population versus a sample?
- What type of research questions and hypotheses lend themselves to such a study? Which types do not, and why?
- Provide at least 1 example of a hypothesis statement, which includes the purpose of the research and identifies which variables will be used.
Remember to cite your resources according to the APA guidelines.
If you use AI to complete the discussion response or reply, include a statement describing the specific AI tool(s) or resources you used and how you used them, and you must cite it properly according to the American Psychological Association (APA) guidelines.
Studying a Population vs. a Sample
Researchers may choose to study an entire population when the group is small, accessible, or when maximum accuracy is required. For example, a researcher studying the job satisfaction of all ten nurses in a rural clinic would benefit from including the entire population. This approach eliminates sampling error and ensures comprehensive results. However, studying an entire population is often impractical due to time, cost, and accessibility. In these cases, researchers rely on samples that represent the larger population.
Research questions that focus on broad generalizations or nationwide trends typically use samples due to the scale involved. For instance, national surveys on healthcare access select representative samples instead of studying every citizen. Conversely, highly focused research on small, defined groups may require population studies. These research types often seek to evaluate interventions, workplace dynamics, or niche behaviors……………
