Comparison of the parameters of the items estimated according to classical test theory and item response theory: a simulation study By: Osama AbdulAziz Alwusaidi
There are two currently popular statistical frameworks for addressing measurement problems such as test development, test-score equating, and the identification of biased test items: Classical Test Theory (CTT) and Item Response Theory (IRT). This study is aimed empirically to examine the similarities and differences in the parameters of the items estimated using these two frameworks. and identify the statistical psychometric characteristics of the parameters of the items according to the classical theory and the item response theory, and determine the type and strength of the relationships between the estimates of the parameters of the items according to these two frameworks. In order to fulfill the objectives of the study, the descriptive methodology was used. and The population of the study was made up about a simulation study.For this purpose:
summary(Data_OAlwusaidi)
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## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
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## Median :1.000 Median :1.000 Median :1.000 Median :1.000
## Mean :0.686 Mean :0.779 Mean :0.755 Mean :0.877
## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
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## Median :1.000 Median :1.000 Median :0.000 Median :0.000
## Mean :0.733 Mean :0.784 Mean :0.426 Mean :0.381
## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000
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summary(tplm)
##
## Call:
## ltm(formula = Data_OAlwusaidi ~ z1)
##
## Model Summary:
## log.Lik AIC BIC
## -34433.95 69107.89 69696.82
##
## Coefficients:
## value std.err z.vals
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## Dscrmn.Item50 0.4833 0.0910 5.3102
## Dscrmn.Item51 0.6131 0.0792 7.7379
## Dscrmn.Item52 0.8955 0.0892 10.0438
## Dscrmn.Item53 1.8782 0.2908 6.4593
## Dscrmn.Item54 0.7683 0.1002 7.6644
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## Dscrmn.Item56 0.7762 0.0840 9.2399
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## Dscrmn.Item58 0.5342 0.0758 7.0462
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##
## Integration:
## method: Gauss-Hermite
## quadrature points: 21
##
## Optimization:
## Convergence: 0
## max(|grad|): 0.026
## quasi-Newton: BFGS
summary(three_plm)
##
## Call:
## tpm(data = Data_OAlwusaidi)
##
## Model Summary:
## log.Lik AIC BIC
## -34393.58 69147.16 70030.55
##
## Coefficients:
## value std.err z.vals
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## Gussng.Item03 0.3090 0.1549 1.9955
## Gussng.Item04 0.3689 0.4296 0.8587
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## Gussng.Item09 0.0003 0.0324 0.0086
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## Gussng.Item51 0.1726 0.2477 0.6968
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## Gussng.Item57 0.3127 0.0423 7.4014
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## Dffclt.Item50 -2.8487 0.5943 -4.7934
## Dffclt.Item51 0.1866 0.9092 0.2052
## Dffclt.Item52 -0.0791 0.0821 -0.9627
## Dffclt.Item53 -2.5418 0.2401 -10.5882
## Dffclt.Item54 0.0921 0.2783 0.3309
## Dffclt.Item55 0.3503 0.3743 0.9360
## Dffclt.Item56 0.5790 0.2349 2.4647
## Dffclt.Item57 1.0617 0.1472 7.2135
## Dffclt.Item58 0.0566 0.1273 0.4446
## Dffclt.Item59 0.3899 0.6092 0.6401
## Dffclt.Item60 -0.7442 0.8992 -0.8277
## Dscrmn.Item01 1.4468 0.2984 4.8478
## Dscrmn.Item02 0.5496 0.0941 5.8418
## Dscrmn.Item03 1.1013 0.2239 4.9194
## Dscrmn.Item04 1.1573 0.3621 3.1964
## Dscrmn.Item05 1.3676 0.3017 4.5332
## Dscrmn.Item06 1.5472 0.3742 4.1344
## Dscrmn.Item07 0.8972 0.5248 1.7097
## Dscrmn.Item08 1.3087 0.2572 5.0879
## Dscrmn.Item09 0.6485 0.0830 7.8180
## Dscrmn.Item10 0.4384 0.0798 5.4946
## Dscrmn.Item11 0.7371 0.0931 7.9176
## Dscrmn.Item12 1.3152 0.2643 4.9768
## Dscrmn.Item13 1.3066 0.4841 2.6992
## Dscrmn.Item14 1.2781 0.2337 5.4692
## Dscrmn.Item15 1.5133 0.2831 5.3453
## Dscrmn.Item16 1.0462 0.2643 3.9585
## Dscrmn.Item17 1.4133 0.3184 4.4385
## Dscrmn.Item18 0.9198 0.3287 2.7986
## Dscrmn.Item19 1.0992 0.2022 5.4362
## Dscrmn.Item20 0.9694 0.1273 7.6128
## Dscrmn.Item21 0.6667 0.0884 7.5416
## Dscrmn.Item22 1.0754 0.3246 3.3133
## Dscrmn.Item23 1.0014 0.3370 2.9712
## Dscrmn.Item24 0.7678 0.3167 2.4246
## Dscrmn.Item25 1.0805 0.0978 11.0517
## Dscrmn.Item26 1.1646 0.1134 10.2729
## Dscrmn.Item27 1.2899 0.3095 4.1678
## Dscrmn.Item28 1.7069 0.3773 4.5238
## Dscrmn.Item29 1.5561 0.3086 5.0420
## Dscrmn.Item30 0.6047 0.0847 7.1395
## Dscrmn.Item31 0.9633 0.2781 3.4636
## Dscrmn.Item32 0.8653 0.3680 2.3515
## Dscrmn.Item33 1.3537 0.2696 5.0209
## Dscrmn.Item34 0.9657 0.2417 3.9949
## Dscrmn.Item35 1.4018 0.2340 5.9901
## Dscrmn.Item36 1.7716 0.2806 6.3133
## Dscrmn.Item37 0.7810 0.1935 4.0371
## Dscrmn.Item38 0.9926 0.2589 3.8343
## Dscrmn.Item39 0.7065 0.0940 7.5171
## Dscrmn.Item40 0.9168 0.1027 8.9295
## Dscrmn.Item41 0.6270 0.0815 7.6943
## Dscrmn.Item42 1.3778 0.4378 3.1468
## Dscrmn.Item43 1.7833 0.2735 6.5212
## Dscrmn.Item44 0.7816 0.3101 2.5203
## Dscrmn.Item45 0.4645 0.2603 1.7848
## Dscrmn.Item46 1.5233 0.2704 5.6338
## Dscrmn.Item47 0.7351 0.2837 2.5913
## Dscrmn.Item48 1.4201 0.2715 5.2306
## Dscrmn.Item49 0.6999 0.2362 2.9634
## Dscrmn.Item50 0.4699 0.0882 5.3263
## Dscrmn.Item51 0.7450 0.3062 2.4331
## Dscrmn.Item52 0.9058 0.0894 10.1324
## Dscrmn.Item53 1.6708 0.2507 6.6646
## Dscrmn.Item54 1.5409 0.3779 4.0774
## Dscrmn.Item55 0.9581 0.2467 3.8842
## Dscrmn.Item56 1.1119 0.2457 4.5256
## Dscrmn.Item57 1.4862 0.3529 4.2113
## Dscrmn.Item58 0.5337 0.0758 7.0428
## Dscrmn.Item59 0.4800 0.1126 4.2641
## Dscrmn.Item60 0.9007 0.2687 3.3524
##
## Integration:
## method: Gauss-Hermite
## quadrature points: 21
##
## Optimization:
## Optimizer: optim (BFGS)
## Convergence: 0
## max(|grad|): 0.062