Table 1 Proportions of p-values <0.05 for chi-square statistics
From: Item fit statistics for Rasch analysis: can we trust them?
Unconditional | Conditional | ||||
|---|---|---|---|---|---|
n | k | items | total | items | total |
150 | 10 | 0.035–0.087 | 0.074 | 0.043–0.053 | 0.058 |
15 | 0.030–0.065 | 0.057 | 0.032–0.061 | 0.058 | |
20 | 0.032–0.060 | 0.051 | 0.036–0.056 | 0.062 | |
200 | 10 | 0.031–0.092 | 0.107 | 0.043–0.050 | 0.050 |
15 | 0.027–0.062 | 0.065 | 0.040–0.061 | 0.055 | |
20 | 0.030–0.063 | 0.053 | 0.036–0.068 | 0.059 | |
250 | 10 | 0.031–0.099 | 0.153 | 0.036–0.051 | 0.047 |
15 | 0.029–0.059 | 0.067 | 0.034–0.056 | 0.046 | |
20 | 0.031–0.061 | 0.064 | 0.039–0.062 | 0.062 | |
500 | 10 | 0.047–0.119 | 0.228 | 0.043–0.064 | 0.059 |
15 | 0.036–0.077 | 0.087 | 0.042–0.062 | 0.051 | |
20 | 0.036–0.059 | 0.055 | 0.036–0.062 | 0.050 | |
1000 | 10 | 0.104–0.252 | 0.880 | 0.044–0.060 | 0.064 |
15 | 0.047–0.110 | 0.305 | 0.036–0.059 | 0.057 | |
20 | 0.041–0.093 | 0.156 | 0.040–0.069 | 0.052 | |
1500 | 10 | 0.190–0.416 | 1.000 | 0.036–0.057 | 0.053 |
15 | 0.061–0.156 | 0.613 | 0.043–0.061 | 0.052 | |
20 | 0.048–0.112 | 0.304 | 0.037–0.067 | 0.048 | |
2000 | 10 | 0.335–0.592 | 1.000 | 0.040-0.065 | 0.058 |
15 | 0.083–0.226 | 0.907 | 0.036–0.060 | 0.058 | |
20 | 0.055–0.130 | 0.505 | 0.034–0.057 | 0.054 | |