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. 2017 Apr 4;8:484. doi: 10.3389/fpsyg.2017.00484

Table 1.

Root expected mean square error of equating, performance misclassifications, passing rates, and passing misclassifications between estimation and truth.

Ability shift True passing Rate (%) Models IRT scaling methodsa REMSEEb Classification Misclassifications (%)c
Passing rates (%) Passing misclassifications (%)d
UC OC
0.00 50.72 3PL/2PL/GPC FCIP 0.04 5.99 6.20 50.82 0.09
MS 0.10 5.97 6.23 50.83 0.11
SL 0.04 5.94 6.25 50.85 0.12
2PL/2PL/GPC FCIP 0.16 5.88 6.46 50.55 -0.18
MS 0.16 5.96 6.38 50.49 -0.23
SL 0.15 5.85 6.49 50.58 -0.14
1PL/1PL/PC FCIP 1.02 7.19 6.49 49.74 -0.98
MS 0.35 6.45 6.48 50.04 -0.68
SL 0.36 6.42 6.54 50.04 -0.68
0.10 54.61 3PL/2PL/GPC FCIP 0.05 6.12 6.19 54.71 0.09
MS 0.09 6.06 6.26 54.74 0.12
SL 0.06 5.96 6.34 54.82 0.21
2PL/2PL/GPC FCIP 0.16 6.00 6.44 54.41 -0.20
MS 0.18 6.04 6.40 54.34 -0.27
SL 0.15 5.80 6.65 54.54 -0.07
1PL/1PL/PC FCIP 1.04 7.57 6.23 53.62 -1.00
MS 0.39 6.90 6.33 53.95 -0.67
SL 0.37 6.65 6.41 53.95 -0.67
0.25 60.59 3PL/2PL/GPC FCIP 0.05 6.23 6.11 60.60 0.01
MS 0.12 5.93 6.42 60.78 0.19
SL 0.12 5.86 6.48 60.85 0.26
2PL/2PL/GPC FCIP 0.16 6.12 6.35 60.29 -0.30
MS 0.21 6.16 6.33 60.17 -0.42
SL 0.15 5.66 6.83 60.53 -0.06
1PL/1PL/PC FCIP 1.07 8.23 5.76 59.48 -1.11
MS 0.48 8.08 5.69 59.82 -0.77
SL 0.38 7.02 6.13 59.82 -0.77
0.50 69.73 3PL/2PL/GPC FCIP 0.05 6.38 5.79 69.60 -0.13
MS 0.17 5.83 6.34 69.89 0.15
SL 0.20 5.65 6.49 70.08 0.35
2PL/2PL/GPC FCIP 0.16 6.24 6.03 69.30 -0.43
MS 0.27 6.24 6.04 68.76 -0.98
SL 0.15 5.37 6.94 69.17 -0.56
1PL/1PL/PC FCIP 1.11 9.07 4.91 68.54 -1.19
MS 0.63 9.43 4.59 67.98 -1.75
SL 0.43 7.44 5.53 68.89 -0.84

aFCIP = separate calibration with linking and fixed common item parameter; MS = mean/sigma method; SL = Stocking and Lord characteristic curve method.

bREMSEE = Root Expected Mean Square Error of Equating.

cUC = under-classificationOC = over-classification.

dPassing misclassification = the difference between the estimated and the true passing rates, where a positive sign (+) represents an over-estimated passing rate and a negative sign (–) represents an underestimated passing rate.