From: Item fit statistics for Rasch analysis: can we trust them?
Unconditional | Conditional | ||||||||
---|---|---|---|---|---|---|---|---|---|
n | k | Out | p <0.05 | In | p <0.05 | Out | p <0.05 | In | p <0.05 |
150 | 10 | 0.91 | 0.014–0.062 | 0.94 | 0.018–0.077 | 1.00 | 0.033–0.052 | 1.00 | 0.000–0.052 |
15 | 0.95 | 0.010–0.040 | 0.96 | 0.006–0.057 | 1.00 | 0.021–0.046 | 1.00 | 0.000–0.054 | |
20 | 0.96 | 0.011–0.049 | 0.97 | 0.001–0.057 | 1.00 | 0.021–0.053 | 1.00 | 0.000–0.052 | |
200 | 10 | 0.91 | 0.020–0.070 | 0.94 | 0.022–0.082 | 1.00 | 0.028–0.048 | 1.00 | 0.000–0.051 |
15 | 0.94 | 0.013–0.043 | 0.96 | 0.007–0.064 | 1.00 | 0.021–0.047 | 1.00 | 0.000–0.050 | |
20 | 0.96 | 0.009-0.053 | 0.97 | 0.000-0.057 | 1.00 | 0.020–0.055 | 1.00 | 0.000–0.060 | |
250 | 10 | 0.91 | 0.023–0.060 | 0.94 | 0.047–0.079 | 1.00 | 0.023-0.048 | 1.00 | 0.000–0.044 |
15 | 0.95 | 0.016–0.048 | 0.96 | 0.006–0.058 | 1.00 | 0.022–0.044 | 1.00 | 0.000–0.038 | |
20 | 0.96 | 0.013–0.055 | 0.97 | 0.002–0.066 | 1.00 | 0.017–0.053 | 1.00 | 0.000–0.055 | |
500 | 10 | 0.91 | 0.058–0.109 | 0.94 | 0.110–0.148 | 1.00 | 0.026–0.041 | 1.00 | 0.000–0.044 |
15 | 0.95 | 0.022–0.063 | 0.96 | 0.022–0.063 | 1.00 | 0.024–0.046 | 1.00 | 0.000–0.046 | |
20 | 0.96 | 0.019–0.062 | 0.97 | 0.008–0.067 | 1.00 | 0.019–0.052 | 1.00 | 0.000–0.056 | |
1000 | 10 | 0.91 | 0.149–0.190 | 0.94 | 0.236–0.403 | 1.00 | 0.018–0.043 | 1.00 | 0.000–0.046 |
15 | 0.95 | 0.058–0.080 | 0.96 | 0.086–0.115 | 1.00 | 0.021–0.054 | 1.00 | 0.000–0.047 | |
20 | 0.96 | 0.029–0.067 | 0.97 | 0.034–0.081 | 1.00 | 0.020–0.055 | 1.00 | 0.000–0.054 | |
1500 | 10 | 0.91 | 0.223–0.293 | 0.94 | 0.319–0.672 | 1.00 | 0.015–0.053 | 1.00 | 0.000–0.060 |
15 | 0.95 | 0.093–0.123 | 0.96 | 0.128–0.237 | 1.00 | 0.013–0.050 | 1.00 | 0.000–0.046 | |
20 | 0.96 | 0.053–0.091 | 0.97 | 0.069–0.110 | 1.00 | 0.021–0.060 | 1.00 | 0.000–0.067 | |
2000 | 10 | 0.91 | 0.319–0.402 | 0.94 | 0.442–0.839 | 1.00 | 0.020–0.043 | 1.00 | 0.000–0.048 |
15 | 0.95 | 0.123–0.160 | 0.96 | 0.166–0.352 | 1.00 | 0.021–0.045 | 1.00 | 0.000–0.049 | |
20 | 0.96 | 0.065–0.104 | 0.97 | 0.090–0.139 | 1.00 | 0.021–0.058 | 1.00 | 0.000–0.060 | |
3000 | 10 | 0.91 | 0.452–0.563 | 0.94 | 0.585–0.975 | 1.00 | 0.020–0.052 | 1.00 | 0.000–0.050 |
15 | 0.95 | 0.152–0.254 | 0.96 | 0.208–0.621 | 1.00 | 0.012–0.048 | 1.00 | 0.000–0.049 | |
20 | 0.96 | 0.090–0.145 | 0.97 | 0.110–0.278 | 1.00 | 0.018–0.049 | 1.00 | 0.000–0.048 | |
10000 | 10 | 0.91 | 0.930–0.980 | 0.94 | 0.981–1.000 | 1.00 | 0.016–0.045 | 1.00 | 0.000–0.045 |
15 | 0.95 | 0.490–0.749 | 0.96 | 0.629–1.000 | 1.00 | 0.017–0.056 | 1.00 | 0.000–0.061 | |
20 | 0.96 | 0.256–0.501 | 0.97 | 0.337–0.976 | 1.00 | 0.018–0.068 | 1.00 | 0.000–0.058 |