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Table 1 Comparison of p-values of the observed test statistics evaluated at both the limiting and the bootstrap distribution

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

  

Normal marginals

 

Free marginals

 

Fixed marginals

k=5/df=4

 

\({\chi ^{2}_{l}}\)

\({\chi ^{2}_{b}}\)

Diff.

 

\({\chi ^{2}_{l}}\)

\({\chi ^{2}_{b}}\)

Diff.

 

\({\chi ^{2}_{l}}\)

\({\chi ^{2}_{b}}\)

Diff.

100

 

0.01

0.01

0.000

 

0.01

0.01

0.001

 

0.01

0.01

0.000

250

 

0.97

0.97

0.001

 

0.97

0.96

0.008

 

0.97

0.96

0.008

500

 

0.03

0.03

0.000

 

0.03

0.03

0.001

 

0.03

0.03

0.000

750

 

0.39

0.39

0.000

 

0.39

0.39

0.004

 

0.39

0.38

0.007

1000

 

0.69

0.69

0.001

 

0.69

0.68

0.004

 

0.69

0.68

0.004

2500

 

0.44

0.44

−0.001

 

0.44

0.44

0.000

 

0.44

0.44

0.001

5000

 

0.96

0.96

0.001

 

0.96

0.96

0.000

 

0.96

0.96

−0.001

k=10/df=9

            

100

 

0.48

0.46

0.017

 

0.48

0.43

0.046

 

0.48

0.43

0.049

250

 

0.32

0.32

0.006

 

0.32

0.31

0.010

 

0.32

0.31

0.010

500

 

0.96

0.95

0.002

 

0.96

0.96

0.000

 

0.96

0.95

0.002

750

 

0.63

0.63

0.002

 

0.63

0.63

0.004

 

0.63

0.63

0.000

1000

 

0.79

0.79

−0.002

 

0.79

0.79

0.000

 

0.79

0.79

0.001

2500

 

0.26

0.26

0.000

 

0.26

0.25

0.000

 

0.26

0.25

0.001

5000

 

0.31

0.31

0.000

 

0.31

0.31

0.002

 

0.31

0.31

0.002

k=15/df=14

            

100

 

0.08

0.07

0.006

 

0.08

0.07

0.011

 

0.08

0.07

0.010

250

 

0.60

0.59

0.007

 

0.60

0.58

0.012

 

0.60

0.59

0.009

500

 

0.07

0.07

0.001

 

0.07

0.07

0.002

 

0.07

0.07

0.003

750

 

0.58

0.58

0.001

 

0.58

0.57

0.002

 

0.58

0.58

0.000

1000

 

0.96

0.96

0.002

 

0.96

0.96

−0.001

 

0.96

0.96

0.001

2500

 

0.34

0.34

0.003

 

0.34

0.34

0.000

 

0.34

0.34

0.001

5000

 

0.63

0.63

0.001

 

0.63

0.63

0.000

 

0.63

0.63

0.000

  1. Notes: \({\chi ^{2}_{l}}\) : limiting distribution of the test statistic; \({\chi ^{2}_{b}}\): bootstrap distribution of the test statistic; Diff. = Difference of p-values