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Table 3 Coefficients of the linear model predicting the negative log of the relative error from the log of the number of bootstrap samples, the number of items, the sample size and the bootstrap algorithm

From: Testing the Rasch model with the conditional likelihood ratio test: sample size requirements and bootstrap algorithms

Par.

Pred.

Est.

S.E.

t-value

P r (>|t|)

β 0

Intcpt

−2.079

0.014

−144.488

<.001

β 1

m

0.498

0.001

361.291

<.001

β 2

k

0.052

0.001

91.534

<.001

β 3

n

0.000

0.000

1.009

0.313

β 4[1]

f r:f x

−0.004

0.006

−0.719

0.472

β 4[2]

f r:n v

−0.002

0.006

−0.291

0.771