Podcast
Questions and Answers
Which one of the following best describes a minimum sample size?
Which one of the following best describes a minimum sample size?
- The number of people needed to ensure a clinically important effect
- The maximum number of people needed to conduct a study
- The number of measurements needed to answer research questions
- The smallest number of people needed to declare an effect statistically significant (correct)
What does power represent in sample size calculations?
What does power represent in sample size calculations?
- The probability of making a type 2 error
- The probability of making a type 1 error
- The probability of declaring an effect statistically significant when it is true (correct)
- The probability of detecting a real difference in the study
Why is a formal sample size calculation important in research proposals?
Why is a formal sample size calculation important in research proposals?
- To determine the power and significance level of the study
- To justify the proposed study size and answer the research questions
- To ensure ethical principles are followed in the study
- To prevent wasted resources and unethical issues (correct)
What is the relationship between power and type 2 error?
What is the relationship between power and type 2 error?
What are the usual values for power in sample size calculations?
What are the usual values for power in sample size calculations?
Which of the following best describes the concept of power in sample size calculations?
Which of the following best describes the concept of power in sample size calculations?
Why is a formal sample size calculation important in research proposals?
Why is a formal sample size calculation important in research proposals?
What is a minimum sample size?
What is a minimum sample size?
What are the usual values for power in sample size calculations?
What are the usual values for power in sample size calculations?
What is the relationship between power and type 2 error?
What is the relationship between power and type 2 error?
Study Notes
Sample Size Calculations
- A minimum sample size is the smallest number of participants required to produce reliable and accurate results in a study.
Power in Sample Size Calculations
- Power represents the probability of detecting a statistically significant effect when it is present in a study.
- The usual values for power in sample size calculations are 0.8 or 0.9, which means an 80% or 90% chance of detecting a statistically significant effect.
- Power is inversely related to type 2 error, which means that as power increases, type 2 error decreases, and vice versa.
Importance of Formal Sample Size Calculation
- A formal sample size calculation is important in research proposals to ensure that the study is adequately powered to detect a statistically significant effect.
- It helps to determine the required sample size, which in turn affects the feasibility, cost, and duration of the study.
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Description
Test your knowledge on sample size calculations with this quiz. Learn about the minimum sample size, power, and ethical principles involved in determining the number of participants needed for a study.
