Dear researchers,

I am calculating sample sizes for two repeated measures ANOVAs using G*Power and have encountered a discrepancy in the results that I would appreciate your insights on.

  • 3 x 3 repeated measures ANOVA Factors: 3 sound conditions x 3 gaze directions Number of measurements: 3 (calculated using (k1 -1) * (k2-1) + 1, where k1 is factor 1, k2 is factor 2)
  • 2 x 3 repeated measures ANOVA Factors: 2 sound conditions x 3 gaze directions (excluding silent trials) Number of measurements: 5
  • For both designs, I used the following parameters in G*Power:

    • Alpha = .05
    • Power = .80
    • Number of groups = 1 (since both are fully within-subject designs)
    • Effect size f(U) = .52, based on a previous effect size of η² = .212 (options: as in SPSS).

    The resulting sample sizes are:

    • N = 21 for the 2 x 3 design, and
    • N = 14 for the 3 x 3 design.

    I am confused as to how the 2 x 3 ANOVA requires a larger sample size than the 3 x 3 ANOVA, as I would expect the more complex design (3 x 3) to require more participants. Could you explain why this might be the case? Shall I opt for an alternative power calculation program?

    Thank you very much in advance!

    Regards,

    Tatiana

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