Table 2 Mean error between item parameters and estimates (N = 1,000)
From: A comparison of two estimation algorithms for Samejima’s continuous IRT model
Program | ME | ME | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Number of items = 20 | Number of items = 10 | |||||||||||||
EM2 | EstCRM | EM2 | EstCRM | |||||||||||
Type of distribution | a | b | α | a | b | α | a | b | α | a | b | α | ||
Par. a | Par. b | Par. α | ||||||||||||
LN1 | N1 | LN1 | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 | −0.02 | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 | −0.02 |
LN1 | N1 | LN2 | 0.02 | −0.01 | 0.02 | 0.02 | −0.01 | −0.05 | 0.03 | 0.01 | 0.03 | 0.02 | 0.01 | −0.05 |
LN1 | N1 | U1 | 0.04 | 0.00 | 0.04 | 0.03 | 0.00 | −0.11 | 0.07 | 0.00 | 0.08 | 0.03 | 0.00 | −0.12 |
LN1 | N2 | LN1 | 0.02 | 0.00 | 0.01 | 0.03 | 0.00 | −0.05 | 0.02 | 0.00 | 0.01 | 0.04 | −0.01 | −0.04 |
LN1 | N2 | LN2 | 0.02 | 0.01 | 0.02 | 0.03 | 0.00 | −0.08 | 0.03 | 0.01 | 0.03 | 0.03 | 0.00 | −0.08 |
LN1 | N2 | U1 | 0.04 | 0.00 | 0.03 | 0.04 | 0.01 | −0.15 | 0.08 | 0.00 | 0.08 | 0.04 | −0.01 | −0.15 |
LN1 | U2 | LN1 | 0.03 | −0.01 | −0.01 | 0.07 | −0.01 | −0.13 | 0.04 | −0.01 | 0.00 | 0.07 | 0.00 | −0.14 |
LN1 | U2 | LN2 | 0.04 | −0.01 | 0.02 | 0.06 | 0.00 | −0.15 | 0.06 | 0.04 | 0.03 | 0.06 | 0.00 | −0.16 |
LN1 | U2 | U1 | 0.06 | 0.00 | 0.04 | 0.07 | −0.01 | −0.19 | 0.09 | 0.02 | 0.09 | 0.07 | 0.01 | −0.20 |
LN2 | N1 | LN1 | 0.02 | −0.01 | 0.02 | 0.02 | −0.01 | −0.03 | 0.02 | 0.00 | 0.02 | 0.02 | 0.00 | −0.03 |
LN2 | N1 | LN2 | 0.03 | 0.00 | 0.03 | 0.02 | 0.01 | −0.07 | 0.05 | 0.00 | 0.05 | 0.02 | 0.00 | −0.06 |
LN2 | N1 | U1 | 0.05 | 0.00 | 0.05 | 0.03 | 0.00 | −0.13 | 0.10 | 0.00 | 0.10 | 0.03 | 0.00 | −0.13 |
LN2 | N2 | LN1 | 0.03 | 0.00 | 0.02 | 0.04 | 0.00 | −0.05 | 0.03 | 0.00 | 0.02 | 0.03 | 0.00 | −0.06 |
LN2 | N2 | LN2 | 0.04 | 0.00 | 0.03 | 0.04 | 0.00 | −0.09 | 0.05 | −0.01 | 0.05 | 0.04 | −0.01 | −0.08 |
LN2 | N2 | U1 | 0.06 | 0.01 | 0.05 | 0.05 | 0.00 | −0.13 | 0.10 | 0.02 | 0.10 | 0.05 | 0.01 | −0.14 |
LN2 | U2 | LN1 | 0.04 | −0.01 | 0.00 | 0.08 | −0.02 | −0.13 | 0.05 | 0.00 | 0.01 | 0.08 | 0.00 | −0.13 |
LN2 | U2 | LN2 | 0.04 | −0.02 | 0.02 | 0.07 | 0.01 | −0.15 | 0.06 | −0.01 | 0.03 | 0.08 | −0.01 | −0.15 |
LN2 | U2 | U1 | 0.09 | −0.01 | 0.04 | 0.08 | 0.00 | −0.19 | 0.11 | −0.05 | 0.10 | 0.09 | −0.01 | −0.19 |
U1 | N1 | LN1 | 0.04 | 0.00 | 0.03 | 0.01 | 0.00 | −0.03 | 0.03 | 0.00 | 0.03 | 0.02 | 0.00 | −0.03 |
U1 | N1 | LN2 | 0.05 | 0.01 | 0.04 | 0.02 | 0.01 | −0.06 | 0.06 | 0.00 | 0.05 | 0.02 | 0.00 | −0.06 |
U1 | N1 | U1 | 0.09 | 0.01 | 0.08 | 0.04 | 0.01 | −0.12 | 0.14 | −0.01 | 0.13 | 0.04 | 0.00 | −0.11 |
U1 | N2 | LN1 | 0.04 | 0.01 | 0.03 | 0.04 | 0.00 | −0.05 | 0.04 | 0.01 | 0.03 | 0.04 | 0.01 | −0.05 |
U1 | N2 | LN2 | 0.05 | −0.02 | 0.03 | 0.05 | −0.01 | −0.08 | 0.08 | 0.00 | 0.06 | 0.05 | 0.00 | −0.08 |
U1 | N2 | U1 | 0.10 | 0.01 | 0.06 | 0.07 | −0.01 | −0.13 | 0.14 | 0.01 | 0.13 | 0.07 | 0.00 | −0.14 |
U1 | U2 | LN1 | 0.07 | 0.00 | 0.02 | 0.10 | −0.01 | −0.13 | 0.08 | 0.00 | 0.02 | 0.10 | 0.00 | −0.13 |
U1 | U2 | LN2 | 0.06 | 0.00 | 0.03 | 0.10 | 0.00 | −0.14 | 0.10 | −0.03 | 0.05 | 0.10 | 0.00 | −0.14 |
U1 | U2 | U1 | 0.10 | −0.03 | 0.07 | 0.12 | 0.00 | −0.20 | 0.16 | −0.01 | 0.13 | 0.11 | 0.00 | −0.19 |
Mean | 0.05 | 0.00 | 0.03 | 0.05 | 0.00 | −0.10 | 0.07 | 0.00 | 0.05 | 0.05 | 0.00 | −0.11 | ||
SD | 0.03 | 0.01 | 0.02 | 0.03 | 0.01 | 0.05 | 0.04 | 0.02 | 0.04 | 0.03 | 0.00 | 0.05 |