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Table 3 Comparison of the required parameters and the results obtained using the linear regression model and the Raschpower method on the NHP data

From: A simple ratio-based approach for power and sample size determination for 2-group comparison using Rasch models

Variables

Linear regression model

Raschpower method

σ2

3.9323

3.9323

J

8

8

γ

/

0.649

Ng

/

197

δ

/

(2.61, 2.94, 1.75, 0.46, −0.11, 0.36, 1.28, 2.23)

Ra

1.27210

1.34

NR

251

264

  1. σ2: variance of the latent trait; J: number of items; γ: difference between the mean values of the latent trait in the two groups (group effect); Ng: sample size per group providing a 1-β = 90% power with the classical formula and a 1-βR = 80% power with Raschpower; δ: vector of the items parameters (δ1, δ2, δ3, δ4, δ5, δ6, δ7, δ8); Ra: ratio, NR: sample size per group providing a 1-β ≈ 90% power for Rasch analysis with the linear regression model and Raschpower, /: not required.