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Explain the two primary factors that researchers must balance when determining the optimal sample size for a survey, and identify the tool they frequently use to balance these considerations.
Question: Explain the two primary factors that researchers must balance when determining the optimal sample size for a survey, and identify the tool they frequently use to balance these considerations.
Sample answer: When determining the optimal sample size for a survey, researchers must balance the desired level of statistical confidence and the practical constraints of the study's budget. Larger samples provide greater confidence because they yield statistics closer to the true population value, but they require more time, effort, and money to collect. To balance these theoretical and practical factors, researchers frequently use a power analysis.
Key points:
- Desired level of statistical confidence
- Practical constraints of the study's budget (time, effort, money)
- Power analysis as the balancing tool
Rubric: To earn full credit, the answer must identify: 1) the desired level of statistical confidence (or closeness to the true population value), 2) the practical constraints of the study's budget (time, effort, and money), and 3) power analysis as the tool used to balance these considerations.
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Research Methods in Psychology - 4th American Edition @ KPU
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