Confirmatory Factor Analysis Sample Size Calculator
Introduction & Importance
Confirmatory factor analysis (CFA) is a powerful statistical technique used to test a hypothesized measurement model. The sample size calculator provided here helps ensure your study has sufficient power to detect meaningful effects.
How to Use This Calculator
- Enter the number of participants, factors, and desired significance level.
- Choose the desired power (0.5 to 1).
- Click ‘Calculate’.
Formula & Methodology
The calculator uses the formula by MacCallum et al. (1996) to estimate the required sample size for CFA.
Real-World Examples
Data & Statistics
| Number of Factors (k) | Power = 0.5 | Power = 0.8 | Power = 0.9 |
|---|---|---|---|
| 2 | 102 | 254 | 385 |
Expert Tips
- Consider using a power level of 0.8 or higher for better precision.
- Increase the sample size if you expect high variability in your data.
Interactive FAQ
What is the default significance level?
The default significance level is 0.05.