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Sample Size Calculation Formula For 3 Groups

Sample Size Formula:

\[ n = n_2 \times 3 \text{ for equal groups} \]

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1. What is Sample Size Calculation for 3 Groups?

Sample size calculation for 3-group ANOVA determines the number of participants needed per group to detect statistically significant differences between three independent groups. This ensures adequate statistical power while controlling Type I and Type II errors.

2. How Does the Calculator Work?

The calculator uses the simplified formula:

\[ n = n_2 \times 3 \text{ for equal groups} \]

Where:

Explanation: This formula provides an approximate sample size calculation for extending a 2-group study design to a 3-group ANOVA design while maintaining similar statistical power.

3. Importance of Sample Size Calculation

Details: Proper sample size calculation is essential for research validity. It ensures studies have adequate power to detect true effects, prevents wasted resources on underpowered studies, and maintains ethical standards by not over-exposing participants.

4. Using the Calculator

Tips: Enter the sample size required for a comparable 2-group study. The calculator will provide the sample size per group and total sample size needed for a 3-group ANOVA design with equal group sizes.

5. Frequently Asked Questions (FAQ)

Q1: Why multiply by 3 for 3 groups?
A: This accounts for the additional group while maintaining similar statistical power and effect size detection capabilities across all group comparisons.

Q2: What factors affect sample size requirements?
A: Effect size, alpha level (significance), statistical power, expected variability, and number of groups all influence sample size requirements.

Q3: When should I use this calculation?
A: Use for planning studies comparing three independent groups using ANOVA, such as clinical trials with three treatment arms or experimental studies with three conditions.

Q4: Are there limitations to this approach?
A: This is a simplified calculation. For precise sample size determination, use specialized software that accounts for specific effect sizes, power requirements, and multiple comparisons.

Q5: What if groups have unequal sizes?
A: For unequal group sizes, more complex calculations are needed that consider the allocation ratio and potential loss of statistical power.

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