Kalibrasi Test Kemampuan Abstraksi Ruang
Heru Wiryanto
Sept 16, 2016
PERSIAPAN DATA
## Loading required package: multilevel## Loading required package: nlme## Loading required package: MASS## skor01 skor02 skor03 skor04 skor05 skor06 skor07 skor08 skor09 skor10
## 1 0 0 0 0 0 0 0 0 0 0
## 2 1 0 0 1 1 0 0 1 1 0
## 3 0 0 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 0 0 0 1
## 5 0 1 0 0 0 0 0 0 0 0
## 6 0 1 0 0 0 0 0 0 0 1
## skor11 skor12 skor13 skor14 skor15 skor16 skor17 skor18 skor19 skor20
## 1 1 0 0 0 0 0 0 0 0 0
## 2 1 1 0 0 1 0 0 0 1 1
## 3 0 0 0 1 0 0 1 0 0 0
## 4 0 1 0 1 0 1 0 0 1 0
## 5 1 1 0 0 0 0 0 0 0 0
## 6 0 1 1 1 0 1 1 0 0 1
## skor21 skor22 skor23 skor24 skor25 skor26 skor27 skor28 skor29 skor30
## 1 0 0 1 0 0 1 0 0 0 0
## 2 0 0 1 1 1 0 0 0 0 0
## 3 0 0 0 0 1 0 0 0 0 0
## 4 0 0 0 0 0 0 0 0 0 0
## 5 1 1 0 0 0 0 0 0 0 0
## 6 0 0 0 1 0 0 0 0 0 0
## skor31 skor32 skor33 skor34 skor35 skor36 skor37 skor38 skor39 skor40
## 1 0 0 0 0 0 0 0 0 0 0
## 2 0 0 1 0 1 0 0 1 0 1
## 3 0 0 0 0 0 0 0 0 0 0
## 4 0 0 0 0 1 0 1 0 0 0
## 5 0 0 0 0 0 1 0 0 0 0
## 6 0 0 0 0 0 0 0 0 0 0
## skor41 skor42 skor43 skor44 skor45 skor46 skor47 skor48 skor49 skor50
## 1 0 0 0 0 0 0 0 0 0 0
## 2 1 0 1 1 0 0 0 1 0 0
## 3 0 0 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 0 0 0 0
## 5 1 0 0 1 0 0 0 0 0 0
## 6 0 0 0 0 0 0 1 0 0 0
## skor51 skor52 skor53 skor54 skor55 skor56 skor57 skor58 skor59 skor60
## 1 0 0 0 0 0 0 0 0 0 0
## 2 1 0 0 0 0 0 1 1 1 1
## 3 1 0 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 1 0 0 0 1
## 5 0 0 0 1 0 0 0 0 1 0
## 6 1 0 0 0 0 0 0 0 1 0ANALISA CTT
## Sample.SD Item.total Item.Tot.woi Difficulty Discrimination
## skor01 0.4582963 0.347495158 0.30932761 0.3000000 0.335025381
## skor02 0.4816531 0.415767501 0.37781356 0.3656514 0.445177665
## skor03 0.4534944 0.420376572 0.38485293 0.2893401 0.401522843
## skor04 0.4407242 0.388348967 0.35283698 0.2637902 0.368527919
## skor05 0.4579261 0.413817117 0.37771448 0.2991540 0.409644670
## skor06 0.4809860 0.436464441 0.39931953 0.3632826 0.449238579
## skor07 0.4114837 0.460386970 0.42953415 0.2159052 0.390862944
## skor08 0.4129940 0.452141933 0.42089255 0.2181049 0.395939086
## skor09 0.4348417 0.457366538 0.42460615 0.2531303 0.440101523
## skor10 0.4824463 0.393580773 0.35479696 0.3685279 0.411167513
## skor11 0.4869406 0.375386680 0.33563473 0.3862944 0.387817259
## skor12 0.4873327 0.382671431 0.34312232 0.3879865 0.397969543
## skor13 0.4850993 0.375582125 0.33599033 0.3786802 0.385786802
## skor14 0.4830858 0.405372463 0.36693749 0.3708968 0.432487310
## skor15 0.4020502 0.423481197 0.39217295 0.2027073 0.359390863
## skor16 0.3814043 0.001651633 -0.03368644 0.1766497 -0.001522843
## skor17 0.4835794 0.379736051 0.34040411 0.3727580 0.392385787
## skor18 0.4815112 0.419877973 0.38208233 0.3651438 0.446700508
## skor19 0.4789086 0.436280318 0.39929346 0.3561760 0.464467005
## skor20 0.4881359 0.380377141 0.34068636 0.3915398 0.397969543
## skor21 0.4812257 0.426119080 0.38857236 0.3641286 0.441624365
## skor22 0.4347456 0.456498129 0.42371409 0.2529611 0.428426396
## skor23 0.4706609 0.365416671 0.32672061 0.3311337 0.376142132
## skor24 0.4351296 0.395756996 0.36092964 0.2536379 0.376649746
## skor25 0.4614037 0.385150097 0.34783160 0.3072758 0.378172589
## skor26 0.4186443 0.458456602 0.42698582 0.2265651 0.407106599
## skor27 0.4524660 0.409083126 0.37326511 0.2871404 0.406598985
## skor28 0.4361783 0.354468908 0.31836639 0.2554992 0.328934010
## skor29 0.4413570 0.400910945 0.36573413 0.2649746 0.375126904
## skor30 0.4341671 0.475202482 0.44314656 0.2519459 0.435532995
## skor31 0.4611913 0.436706782 0.40114055 0.3067682 0.437055838
## skor32 0.3353425 -0.125775245 -0.15617774 0.1291032 -0.094923858
## skor33 0.4626643 0.343498573 0.30484875 0.3103215 0.317766497
## skor34 0.3888307 0.398073228 0.36709139 0.1856176 0.336040609
## skor35 0.4799616 0.424118421 0.38660039 0.3597293 0.446700508
## skor36 0.4803552 0.420012917 0.38231530 0.3610829 0.445685279
## skor37 0.4649147 0.430098682 0.39399961 0.3159052 0.431472081
## skor38 0.4738402 0.388320277 0.35007377 0.3402707 0.387817259
## skor39 0.4352254 0.450347715 0.41730799 0.2538071 0.421319797
## skor40 0.4451558 0.360565622 0.32387417 0.2722504 0.326395939
## skor41 0.4855611 0.373626806 0.33393423 0.3805415 0.391370558
## skor42 0.4343603 0.448073349 0.41502121 0.2522843 0.415228426
## skor43 0.4785512 0.442668715 0.40595038 0.3549915 0.476142132
## skor44 0.4247885 0.450548261 0.41832822 0.2362098 0.408121827
## skor45 0.4444605 0.385240136 0.34932583 0.2708968 0.355329949
## skor46 0.4873327 0.380514546 0.34089514 0.3879865 0.405583756
## skor47 0.4587381 0.404416480 0.36793509 0.3010152 0.386294416
## skor48 0.4403607 0.396063085 0.36081676 0.2631134 0.374111675
## skor49 0.4386158 0.412429691 0.37784164 0.2598985 0.387817259
## skor50 0.4655149 0.381446005 0.34367086 0.3174281 0.367005076
## skor51 0.4821685 0.420969491 0.38316017 0.3675127 0.442131980
## skor52 0.4850145 0.396875470 0.35799124 0.3783418 0.413197970
## skor53 0.4139148 0.465915545 0.43506731 0.2194585 0.408121827
## skor54 0.4672167 0.367885900 0.32955330 0.3218274 0.367512690
## skor55 0.4715042 0.345502597 0.30615506 0.3335025 0.345177665
## skor56 0.4861378 0.378060966 0.33846183 0.3829103 0.403045685
## skor57 0.4053891 0.454412992 0.42382861 0.2072758 0.399492386
## skor58 0.4158502 0.464906780 0.43387520 0.2223350 0.408121827
## skor59 0.4804041 0.428129965 0.39072258 0.3612521 0.456345178
## skor60 0.4795638 0.415803110 0.37801945 0.3583756 0.431472081
## Item.Criterion Item.Reliab Item.Rel.woi Item.Validity
## skor01 NA 0.1592422866 0.14175172 NA
## skor02 NA 0.2002387666 0.18195968 NA
## skor03 NA 0.1906223081 0.17451390 NA
## skor04 NA 0.1711402937 0.15549063 NA
## skor05 NA 0.1894816453 0.17295070 NA
## skor06 NA 0.2099155048 0.19205084 NA
## skor07 NA 0.1894256975 0.17673134 NA
## skor08 NA 0.1867160917 0.17381138 NA
## skor09 NA 0.1988652348 0.18462086 NA
## skor10 NA 0.1898655398 0.17115602 NA
## skor11 NA 0.1827755549 0.16342036 NA
## skor12 NA 0.1864725205 0.16720058 NA
## skor13 NA 0.1821792085 0.16297488 NA
## skor14 NA 0.1958130941 0.17724727 NA
## skor15 NA 0.1702463076 0.15765989 NA
## skor16 NA 0.0006298864 -0.01284707 NA
## skor17 NA 0.1836170014 0.16459849 NA
## skor18 NA 0.2021588445 0.18396136 NA
## skor19 NA 0.2089207234 0.19120890 NA
## skor20 NA 0.1856600433 0.16628719 NA
## skor21 NA 0.2050420907 0.18697518 NA
## skor22 NA 0.1984437710 0.18419226 NA
## skor23 NA 0.1719727739 0.15376159 NA
## skor24 NA 0.1721910069 0.15703787 NA
## skor25 NA 0.1776946578 0.16047722 NA
## skor26 NA 0.1919139966 0.17874005 NA
## skor27 NA 0.1850805306 0.16887547 NA
## skor28 NA 0.1545985722 0.13885277 NA
## skor29 NA 0.1769298947 0.16140567 NA
## skor30 NA 0.2062998091 0.19238336 NA
## skor31 NA 0.2013883480 0.18498690 NA
## skor32 NA -0.0421742185 -0.05236860 NA
## skor33 NA 0.1589110909 0.14103071 NA
## skor34 NA 0.1547699830 0.14272431 NA
## skor35 NA 0.2035433174 0.18553763 NA
## skor36 NA 0.2017383044 0.18363159 NA
## skor37 NA 0.1999422895 0.18316072 NA
## skor38 NA 0.1839861963 0.16586500 NA
## skor39 NA 0.1959861612 0.18160765 NA
## skor40 NA 0.1604942876 0.14416226 NA
## skor41 NA 0.1814032812 0.16213174 NA
## skor42 NA 0.1946087913 0.18025347 NA
## skor43 NA 0.2118217430 0.19425163 NA
## skor44 NA 0.1913715276 0.17768598 NA
## skor45 NA 0.1712095397 0.15524840 NA
## skor46 NA 0.1854214888 0.16611529 NA
## skor47 NA 0.1855055618 0.16877157 NA
## skor48 NA 0.1743958563 0.15887607 NA
## skor49 NA 0.1808828696 0.16571329 NA
## skor50 NA 0.1775537930 0.15997039 NA
## skor51 NA 0.2029610495 0.18473213 NA
## skor52 NA 0.1924740797 0.17361626 NA
## skor53 NA 0.1928330342 0.18006557 NA
## skor54 NA 0.1718679017 0.15395979 NA
## skor55 NA 0.1628921433 0.14434118 NA
## skor56 NA 0.1837741903 0.16452518 NA
## skor57 NA 0.1841985048 0.17180098 NA
## skor58 NA 0.1933152395 0.18041184 NA
## skor59 NA 0.2056579782 0.18768884 NA
## skor60 NA 0.1993872550 0.18126911 NA## LCL ALPHA UCL
## 1 0.9052029 0.9085587 0.9118529KALIBRASI MODEL RASCH
## Loading required package: msm## Loading required package: polycor## Loading required package: mvtnorm## Loading required package: sfsmisc##
## Attaching package: 'polycor'## The following object is masked from 'package:CTT':
##
## polyserial##
## Call:
## rasch(data = datalc, constraint = cbind(ncol(datalc) + 1, 1))
##
## Coefficients:
## Dffclt.skor01 Dffclt.skor02 Dffclt.skor03 Dffclt.skor04 Dffclt.skor05
## 1.002 0.651 1.061 1.211 1.007
## Dffclt.skor06 Dffclt.skor07 Dffclt.skor08 Dffclt.skor09 Dffclt.skor10
## 0.665 1.517 1.502 1.276 0.637
## Dffclt.skor11 Dffclt.skor12 Dffclt.skor13 Dffclt.skor14 Dffclt.skor15
## 0.544 0.537 0.586 0.626 1.608
## Dffclt.skor16 Dffclt.skor17 Dffclt.skor18 Dffclt.skor19 Dffclt.skor20
## 1.803 0.617 0.654 0.702 0.523
## Dffclt.skor21 Dffclt.skor22 Dffclt.skor23 Dffclt.skor24 Dffclt.skor25
## 0.660 1.277 0.833 1.273 0.962
## Dffclt.skor26 Dffclt.skor27 Dffclt.skor28 Dffclt.skor29 Dffclt.skor30
## 1.446 1.074 1.261 1.204 1.283
## Dffclt.skor31 Dffclt.skor32 Dffclt.skor33 Dffclt.skor34 Dffclt.skor35
## 0.964 2.221 0.945 1.733 0.683
## Dffclt.skor36 Dffclt.skor37 Dffclt.skor38 Dffclt.skor39 Dffclt.skor40
## 0.675 0.914 0.785 1.272 1.162
## Dffclt.skor41 Dffclt.skor42 Dffclt.skor43 Dffclt.skor44 Dffclt.skor45
## 0.575 1.281 0.709 1.383 1.169
## Dffclt.skor46 Dffclt.skor47 Dffclt.skor48 Dffclt.skor49 Dffclt.skor50
## 0.537 0.996 1.215 1.234 0.906
## Dffclt.skor51 Dffclt.skor52 Dffclt.skor53 Dffclt.skor54 Dffclt.skor55
## 0.642 0.589 1.493 0.882 0.821
## Dffclt.skor56 Dffclt.skor57 Dffclt.skor58 Dffclt.skor59 Dffclt.skor60
## 0.563 1.577 1.474 0.675 0.689
## Dscrmn
## 1.000
##
## Log.Lik: -194784.8
##
## Call:
## rasch(data = datalc, constraint = cbind(ncol(datalc) + 1, 1))
##
## Total Information = 59.99
## Information in (-10, 10) = 59.99 (100%)
## Based on all the items
##
## Item-Fit Statistics and P-values
##
## Call:
## rasch(data = datalc, constraint = cbind(ncol(datalc) + 1, 1))
##
## Alternative: Items do not fit the model
## Ability Categories: 10
##
## X^2 Pr(>X^2)
## skor01 23.8472 0.0045
## skor02 50.0423 <0.0001
## skor03 36.6828 <0.0001
## skor04 15.5605 0.0766
## skor05 24.0945 0.0042
## skor06 57.9287 <0.0001
## skor07 107.6559 <0.0001
## skor08 94.8198 <0.0001
## skor09 102.9903 <0.0001
## skor10 40.9888 <0.0001
## skor11 29.4457 0.0005
## skor12 11.1421 0.2661
## skor13 27.6029 0.0011
## skor14 28.5893 0.0008
## skor15 64.2775 <0.0001
## skor16 683.3724 <0.0001
## skor17 10.9570 0.2787
## skor18 21.0258 0.0125
## skor19 44.2143 <0.0001
## skor20 15.9905 0.0671
## skor21 37.3859 <0.0001
## skor22 90.2207 <0.0001
## skor23 21.4819 0.0107
## skor24 25.6874 0.0023
## skor25 4.9821 0.8359
## skor26 98.9795 <0.0001
## skor27 32.1064 0.0002
## skor28 10.9541 0.2789
## skor29 22.0628 0.0087
## skor30 115.6239 <0.0001
## skor31 48.8978 <0.0001
## skor32 1143.1096 <0.0001
## skor33 23.5436 0.0051
## skor34 56.6247 <0.0001
## skor35 41.2973 <0.0001
## skor36 32.9379 0.0001
## skor37 48.6685 <0.0001
## skor38 25.8690 0.0021
## skor39 85.7211 <0.0001
## skor40 18.7855 0.0271
## skor41 20.0121 0.0178
## skor42 72.1975 <0.0001
## skor43 50.8818 <0.0001
## skor44 86.8551 <0.0001
## skor45 14.7214 0.0989
## skor46 25.8696 0.0021
## skor47 16.6661 0.0542
## skor48 19.5856 0.0206
## skor49 29.9604 0.0004
## skor50 16.9595 0.0494
## skor51 36.5730 <0.0001
## skor52 38.0621 <0.0001
## skor53 115.6598 <0.0001
## skor54 11.1671 0.2644
## skor55 15.6177 0.0753
## skor56 11.4372 0.2469
## skor57 113.0664 <0.0001
## skor58 131.4686 <0.0001
## skor59 31.4823 0.0002
## skor60 20.6013 0.0145## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.28100 -0.57500 -0.03056 0.03095 0.55080 3.39100## [1] 0.8670746
KALIBRASI MODEL IRT 1 PL
##
## Call:
## rasch(data = datalc)
##
## Model Summary:
## log.Lik AIC BIC
## -194750.4 389622.8 390030.6
##
## Coefficients:
## value std.err z.vals
## Dffclt.skor01 1.0805 0.0373 28.9870
## Dffclt.skor02 0.7016 0.0351 19.9964
## Dffclt.skor03 1.1468 0.0378 30.3777
## Dffclt.skor04 1.3083 0.0390 33.5297
## Dffclt.skor05 1.0865 0.0373 29.1142
## Dffclt.skor06 0.7152 0.0351 20.3468
## Dffclt.skor07 1.6397 0.0421 38.9300
## Dffclt.skor08 1.6241 0.0420 38.7075
## Dffclt.skor09 1.3786 0.0396 34.7947
## Dffclt.skor10 0.6848 0.0350 19.5590
## Dffclt.skor11 0.5900 0.0346 17.0444
## Dffclt.skor12 0.5807 0.0346 16.7940
## Dffclt.skor13 0.6297 0.0348 18.1086
## Dffclt.skor14 0.6719 0.0350 19.2222
## Dffclt.skor15 1.7417 0.0432 40.3102
## Dffclt.skor16 1.9501 0.0456 42.7365
## Dffclt.skor17 0.6608 0.0349 18.9315
## Dffclt.skor18 0.7045 0.0351 20.0721
## Dffclt.skor19 0.7545 0.0353 21.3503
## Dffclt.skor20 0.5616 0.0345 16.2742
## Dffclt.skor21 0.7103 0.0351 20.2215
## Dffclt.skor22 1.3798 0.0396 34.8142
## Dffclt.skor23 0.8982 0.0361 24.8728
## Dffclt.skor24 1.3749 0.0396 34.7287
## Dffclt.skor25 1.0372 0.0370 28.0458
## Dffclt.skor26 1.5621 0.0413 37.7919
## Dffclt.skor27 1.1602 0.0379 30.6518
## Dffclt.skor28 1.3631 0.0395 34.5201
## Dffclt.skor29 1.3007 0.0390 33.3878
## Dffclt.skor30 1.3872 0.0397 34.9443
## Dffclt.skor31 1.0411 0.0370 28.1329
## Dffclt.skor32 2.4028 0.0519 46.3358
## Dffclt.skor33 1.0184 0.0369 27.6319
## Dffclt.skor34 1.8758 0.0447 41.9308
## Dffclt.skor35 0.7348 0.0352 20.8490
## Dffclt.skor36 0.7272 0.0352 20.6557
## Dffclt.skor37 0.9867 0.0367 26.9213
## Dffclt.skor38 0.8461 0.0358 23.6240
## Dffclt.skor39 1.3739 0.0396 34.7118
## Dffclt.skor40 1.2529 0.0386 32.4864
## Dffclt.skor41 0.6203 0.0347 17.8570
## Dffclt.skor42 1.3841 0.0397 34.8902
## Dffclt.skor43 0.7611 0.0354 21.5175
## Dffclt.skor44 1.4939 0.0407 36.7296
## Dffclt.skor45 1.2622 0.0386 32.6651
## Dffclt.skor46 0.5807 0.0346 16.7947
## Dffclt.skor47 1.0751 0.0372 28.8698
## Dffclt.skor48 1.3127 0.0391 33.6108
## Dffclt.skor49 1.3336 0.0392 33.9912
## Dffclt.skor50 0.9770 0.0366 26.7010
## Dffclt.skor51 0.6912 0.0350 19.7270
## Dffclt.skor52 0.6309 0.0348 18.1396
## Dffclt.skor53 1.6145 0.0419 38.5684
## Dffclt.skor54 0.9512 0.0364 26.1112
## Dffclt.skor55 0.8849 0.0360 24.5580
## Dffclt.skor56 0.6078 0.0347 17.5230
## Dffclt.skor57 1.7021 0.0428 39.7900
## Dffclt.skor58 1.5932 0.0416 38.2582
## Dffclt.skor59 0.7264 0.0352 20.6341
## Dffclt.skor60 0.7423 0.0353 21.0398
## Dscrmn 0.9179 0.0095 97.0477
##
## Integration:
## method: Gauss-Hermite
## quadrature points: 21
##
## Optimization:
## Convergence: 0
## max(|grad|): 2.4
## quasi-Newton: BFGS
##
## Call:
## rasch(data = datalc)
##
## Total Information = 55.05
## Information in (-10, 10) = 55.05 (100%)
## Based on all the items##
## Call:
## rasch(data = datalc)
##
## Total Information = 55.05
## Information in (0, 10) = 39.92 (72.51%)
## Based on all the items
##
## Item-Fit Statistics and P-values
##
## Call:
## rasch(data = datalc, constraint = cbind(ncol(datalc) + 1, 1))
##
## Alternative: Items do not fit the model
## Ability Categories: 10
##
## X^2 Pr(>X^2)
## skor01 23.8472 0.0045
## skor02 50.0423 <0.0001
## skor03 36.6828 <0.0001
## skor04 15.5605 0.0766
## skor05 24.0945 0.0042
## skor06 57.9287 <0.0001
## skor07 107.6559 <0.0001
## skor08 94.8198 <0.0001
## skor09 102.9903 <0.0001
## skor10 40.9888 <0.0001
## skor11 29.4457 0.0005
## skor12 11.1421 0.2661
## skor13 27.6029 0.0011
## skor14 28.5893 0.0008
## skor15 64.2775 <0.0001
## skor16 683.3724 <0.0001
## skor17 10.9570 0.2787
## skor18 21.0258 0.0125
## skor19 44.2143 <0.0001
## skor20 15.9905 0.0671
## skor21 37.3859 <0.0001
## skor22 90.2207 <0.0001
## skor23 21.4819 0.0107
## skor24 25.6874 0.0023
## skor25 4.9821 0.8359
## skor26 98.9795 <0.0001
## skor27 32.1064 0.0002
## skor28 10.9541 0.2789
## skor29 22.0628 0.0087
## skor30 115.6239 <0.0001
## skor31 48.8978 <0.0001
## skor32 1143.1096 <0.0001
## skor33 23.5436 0.0051
## skor34 56.6247 <0.0001
## skor35 41.2973 <0.0001
## skor36 32.9379 0.0001
## skor37 48.6685 <0.0001
## skor38 25.8690 0.0021
## skor39 85.7211 <0.0001
## skor40 18.7855 0.0271
## skor41 20.0121 0.0178
## skor42 72.1975 <0.0001
## skor43 50.8818 <0.0001
## skor44 86.8551 <0.0001
## skor45 14.7214 0.0989
## skor46 25.8696 0.0021
## skor47 16.6661 0.0542
## skor48 19.5856 0.0206
## skor49 29.9604 0.0004
## skor50 16.9595 0.0494
## skor51 36.5730 <0.0001
## skor52 38.0621 <0.0001
## skor53 115.6598 <0.0001
## skor54 11.1671 0.2644
## skor55 15.6177 0.0753
## skor56 11.4372 0.2469
## skor57 113.0664 <0.0001
## skor58 131.4686 <0.0001
## skor59 31.4823 0.0002
## skor60 20.6013 0.0145## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.35800 -0.62300 -0.04178 0.02859 0.58340 3.57400KALIBRASI MODEL IRT 2 PL
##
## Call:
## ltm(formula = datalc ~ z1)
##
## Model Summary:
## log.Lik AIC BIC
## -193250.7 386741.4 387543.5
##
## Coefficients:
## value std.err z.vals
## Dffclt.skor01 1.3012 0.0661 19.6733
## Dffclt.skor02 0.6985 0.0393 17.7897
## Dffclt.skor03 1.0890 0.0458 23.7777
## Dffclt.skor04 1.3138 0.0551 23.8554
## Dffclt.skor05 1.0353 0.0446 23.1984
## Dffclt.skor06 0.6764 0.0369 18.3088
## Dffclt.skor07 1.3134 0.0431 30.4817
## Dffclt.skor08 1.3257 0.0444 29.8446
## Dffclt.skor09 1.1273 0.0396 28.4505
## Dffclt.skor10 0.7281 0.0427 17.0411
## Dffclt.skor11 0.6765 0.0451 14.9922
## Dffclt.skor12 0.6663 0.0450 14.8229
## Dffclt.skor13 0.7339 0.0471 15.5842
## Dffclt.skor14 0.6936 0.0408 17.0189
## Dffclt.skor15 1.4887 0.0513 29.0274
## Dffclt.skor16 -12.4176 3.6149 -3.4351
## Dffclt.skor17 0.7575 0.0467 16.2270
## Dffclt.skor18 0.7014 0.0395 17.7716
## Dffclt.skor19 0.7063 0.0370 19.1025
## Dffclt.skor20 0.6584 0.0458 14.3690
## Dffclt.skor21 0.6860 0.0378 18.1304
## Dffclt.skor22 1.1396 0.0403 28.2585
## Dffclt.skor23 1.0368 0.0548 18.9280
## Dffclt.skor24 1.3301 0.0535 24.8785
## Dffclt.skor25 1.1259 0.0539 20.8759
## Dffclt.skor26 1.2704 0.0428 29.6952
## Dffclt.skor27 1.1142 0.0470 23.6838
## Dffclt.skor28 1.4995 0.0674 22.2411
## Dffclt.skor29 1.2843 0.0533 24.0989
## Dffclt.skor30 1.1058 0.0381 29.0254
## Dffclt.skor31 0.9453 0.0405 23.3524
## Dffclt.skor32 -3.5707 0.2682 -13.3112
## Dffclt.skor33 1.2769 0.0679 18.8092
## Dffclt.skor34 1.6458 0.0580 28.3587
## Dffclt.skor35 0.7124 0.0385 18.4900
## Dffclt.skor36 0.7057 0.0384 18.3706
## Dffclt.skor37 0.9230 0.0413 22.3749
## Dffclt.skor38 0.9351 0.0496 18.8540
## Dffclt.skor39 1.1581 0.0418 27.6945
## Dffclt.skor40 1.3918 0.0638 21.8003
## Dffclt.skor41 0.7263 0.0472 15.3976
## Dffclt.skor42 1.1694 0.0421 27.7685
## Dffclt.skor43 0.6975 0.0361 19.3440
## Dffclt.skor44 1.2413 0.0430 28.8465
## Dffclt.skor45 1.3346 0.0590 22.6322
## Dffclt.skor46 0.6669 0.0450 14.8179
## Dffclt.skor47 1.0694 0.0477 22.4122
## Dffclt.skor48 1.2952 0.0535 24.2034
## Dffclt.skor49 1.2694 0.0508 25.0125
## Dffclt.skor50 1.0875 0.0542 20.0691
## Dffclt.skor51 0.6743 0.0381 17.7206
## Dffclt.skor52 0.6756 0.0420 16.1026
## Dffclt.skor53 1.2731 0.0415 30.6979
## Dffclt.skor54 1.1076 0.0575 19.2666
## Dffclt.skor55 1.1356 0.0647 17.5526
## Dffclt.skor56 0.6985 0.0457 15.2849
## Dffclt.skor57 1.3666 0.0444 30.7640
## Dffclt.skor58 1.2736 0.0421 30.2833
## Dffclt.skor59 0.6966 0.0378 18.4062
## Dffclt.skor60 0.7349 0.0397 18.5037
## Dscrmn.skor01 0.7311 0.0349 20.9620
## Dscrmn.skor02 0.9417 0.0371 25.4043
## Dscrmn.skor03 0.9981 0.0395 25.2683
## Dscrmn.skor04 0.9226 0.0388 23.8044
## Dscrmn.skor05 0.9941 0.0392 25.3831
## Dscrmn.skor06 1.0108 0.0384 26.2965
## Dscrmn.skor07 1.2897 0.0480 26.8764
## Dscrmn.skor08 1.2498 0.0470 26.5816
## Dscrmn.skor09 1.2502 0.0455 27.4475
## Dscrmn.skor10 0.8640 0.0358 24.1140
## Dscrmn.skor11 0.7827 0.0344 22.7693
## Dscrmn.skor12 0.7824 0.0344 22.7643
## Dscrmn.skor13 0.7686 0.0342 22.4473
## Dscrmn.skor14 0.8985 0.0364 24.6999
## Dscrmn.skor15 1.1588 0.0457 25.3545
## Dscrmn.skor16 -0.1242 0.0363 -3.4259
## Dscrmn.skor17 0.7860 0.0345 22.7665
## Dscrmn.skor18 0.9415 0.0372 25.3264
## Dscrmn.skor19 1.0255 0.0388 26.4598
## Dscrmn.skor20 0.7622 0.0341 22.3773
## Dscrmn.skor21 0.9818 0.0378 25.9501
## Dscrmn.skor22 1.2299 0.0450 27.3154
## Dscrmn.skor23 0.7709 0.0348 22.1262
## Dscrmn.skor24 0.9713 0.0399 24.3303
## Dscrmn.skor25 0.8335 0.0363 22.9788
## Dscrmn.skor26 1.2590 0.0468 26.9211
## Dscrmn.skor27 0.9825 0.0393 24.9989
## Dscrmn.skor28 0.8173 0.0373 21.8931
## Dscrmn.skor29 0.9442 0.0391 24.1245
## Dscrmn.skor30 1.3028 0.0468 27.8447
## Dscrmn.skor31 1.0656 0.0403 26.4191
## Dscrmn.skor32 -0.5648 0.0457 -12.3660
## Dscrmn.skor33 0.6964 0.0341 20.4121
## Dscrmn.skor34 1.1141 0.0458 24.3298
## Dscrmn.skor35 0.9758 0.0378 25.8025
## Dscrmn.skor36 0.9748 0.0377 25.8408
## Dscrmn.skor37 1.0210 0.0393 25.9754
## Dscrmn.skor38 0.8147 0.0354 23.0325
## Dscrmn.skor39 1.1911 0.0444 26.8526
## Dscrmn.skor40 0.8084 0.0366 22.0661
## Dscrmn.skor41 0.7635 0.0341 22.3840
## Dscrmn.skor42 1.1865 0.0442 26.8226
## Dscrmn.skor43 1.0577 0.0394 26.8378
## Dscrmn.skor44 1.2170 0.0453 26.8422
## Dscrmn.skor45 0.8613 0.0376 22.9040
## Dscrmn.skor46 0.7816 0.0343 22.7631
## Dscrmn.skor47 0.9363 0.0381 24.6069
## Dscrmn.skor48 0.9452 0.0391 24.1460
## Dscrmn.skor49 0.9938 0.0401 24.7821
## Dscrmn.skor50 0.8076 0.0357 22.6345
## Dscrmn.skor51 0.9693 0.0376 25.7752
## Dscrmn.skor52 0.8573 0.0356 24.0595
## Dscrmn.skor53 1.3232 0.0487 27.1934
## Dscrmn.skor54 0.7629 0.0349 21.8596
## Dscrmn.skor55 0.6767 0.0335 20.1773
## Dscrmn.skor56 0.7809 0.0344 22.7285
## Dscrmn.skor57 1.2865 0.0483 26.6409
## Dscrmn.skor58 1.2938 0.0477 27.0971
## Dscrmn.skor59 0.9910 0.0381 26.0098
## Dscrmn.skor60 0.9478 0.0373 25.4141
##
## Integration:
## method: Gauss-Hermite
## quadrature points: 21
##
## Optimization:
## Convergence: 0
## max(|grad|): 1.4
## quasi-Newton: BFGS
##
## Call:
## ltm(formula = datalc ~ z1)
##
## Total Information = 56.93
## Information in (-10, 10) = 56.93 (100%)
## Based on all the items
##
## Item-Fit Statistics and P-values
##
## Call:
## ltm(formula = datalc ~ z1)
##
## Alternative: Items do not fit the model
## Ability Categories: 10
##
## X^2 Pr(>X^2)
## skor01 32.2873 0.0001
## skor02 29.3223 0.0003
## skor03 32.4696 0.0001
## skor04 26.9059 0.0007
## skor05 26.2455 0.001
## skor06 33.2595 0.0001
## skor07 30.6533 0.0002
## skor08 31.4442 0.0001
## skor09 57.4064 <0.0001
## skor10 44.1892 <0.0001
## skor11 40.4386 <0.0001
## skor12 35.2315 <0.0001
## skor13 45.0912 <0.0001
## skor14 21.6193 0.0057
## skor15 27.0568 0.0007
## skor16 65.6853 <0.0001
## skor17 29.9689 0.0002
## skor18 24.4787 0.0019
## skor19 31.0698 0.0001
## skor20 30.5871 0.0002
## skor21 27.5058 0.0006
## skor22 35.1424 <0.0001
## skor23 24.6247 0.0018
## skor24 26.3151 0.0009
## skor25 20.8231 0.0076
## skor26 30.3057 0.0002
## skor27 29.1617 0.0003
## skor28 20.7151 0.0079
## skor29 24.2325 0.0021
## skor30 28.9587 0.0003
## skor31 22.1960 0.0046
## skor32 130.9578 <0.0001
## skor33 44.3046 <0.0001
## skor34 41.5488 <0.0001
## skor35 35.7098 <0.0001
## skor36 37.0197 <0.0001
## skor37 25.3683 0.0013
## skor38 51.2343 <0.0001
## skor39 40.5815 <0.0001
## skor40 29.1680 0.0003
## skor41 33.8061 <0.0001
## skor42 36.6035 <0.0001
## skor43 34.1472 <0.0001
## skor44 37.1149 <0.0001
## skor45 36.8695 <0.0001
## skor46 41.6741 <0.0001
## skor47 31.6515 0.0001
## skor48 27.4635 0.0006
## skor49 30.4053 0.0002
## skor50 32.3848 0.0001
## skor51 37.3603 <0.0001
## skor52 36.2942 <0.0001
## skor53 37.1629 <0.0001
## skor54 26.5978 0.0008
## skor55 29.6691 0.0002
## skor56 25.2066 0.0014
## skor57 47.9540 <0.0001
## skor58 39.5124 <0.0001
## skor59 28.4572 0.0004
## skor60 22.7729 0.0037
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.43900 -0.63330 -0.03462 0.03856 0.65440 3.77500KALIBRASI MODEL IRT 3 PL
## Warning in tpm(datalc): Hessian matrix at convergence is not positive definite; unstable solution.##
## Call:
## tpm(data = datalc)
##
## Model Summary:
## log.Lik AIC BIC
## -193203.5 386767 387970.2
##
## Coefficients:
## value std.err z.vals
## Gussng.skor01 0.0890 0.0304 2.9309
## Gussng.skor02 0.0001 NaN NaN
## Gussng.skor03 0.0412 0.0211 1.9551
## Gussng.skor04 0.0177 0.0233 0.7602
## Gussng.skor05 0.0270 0.0178 1.5166
## Gussng.skor06 0.0005 NaN NaN
## Gussng.skor07 0.0002 0.0021 0.1139
## Gussng.skor08 0.0000 0.0006 0.0643
## Gussng.skor09 0.0000 0.0001 0.0260
## Gussng.skor10 0.0625 0.0349 1.7895
## Gussng.skor11 0.1612 0.0267 6.0336
## Gussng.skor12 0.1933 0.0198 9.7487
## Gussng.skor13 0.1859 0.0207 8.9596
## Gussng.skor14 0.0513 0.0355 1.4461
## Gussng.skor15 0.0054 0.0069 0.7868
## Gussng.skor16 0.1766 0.0050 35.6087
## Gussng.skor17 0.1364 0.0268 5.0926
## Gussng.skor18 0.0719 0.0280 2.5651
## Gussng.skor19 0.0001 0.0017 0.0576
## Gussng.skor20 0.2140 0.0171 12.4864
## Gussng.skor21 0.0331 0.0285 1.1623
## Gussng.skor22 0.0000 0.0003 0.0813
## Gussng.skor23 0.0618 0.0336 1.8416
## Gussng.skor24 0.0099 0.0173 0.5696
## Gussng.skor25 0.1208 0.0176 6.8514
## Gussng.skor26 0.0003 0.0020 0.1328
## Gussng.skor27 0.0091 0.0251 0.3624
## Gussng.skor28 0.0037 NaN NaN
## Gussng.skor29 0.0539 0.0166 3.2464
## Gussng.skor30 0.0003 0.0016 0.1684
## Gussng.skor31 0.0003 0.0066 0.0523
## Gussng.skor32 0.1238 0.0046 26.9795
## Gussng.skor33 0.1646 0.0161 10.2476
## Gussng.skor34 0.0000 0.0000 0.0009
## Gussng.skor35 0.0046 0.0194 0.2378
## Gussng.skor36 0.0004 0.0037 0.1193
## Gussng.skor37 0.0301 0.0230 1.3116
## Gussng.skor38 0.1414 0.0222 6.3715
## Gussng.skor39 0.0001 0.0010 0.1049
## Gussng.skor40 0.0732 0.0224 3.2704
## Gussng.skor41 0.1732 0.0212 8.1836
## Gussng.skor42 0.0001 0.0013 0.0959
## Gussng.skor43 0.0000 0.0005 0.0108
## Gussng.skor44 0.0002 0.0015 0.1075
## Gussng.skor45 0.1096 0.0118 9.2716
## Gussng.skor46 0.1756 0.0238 7.3859
## Gussng.skor47 0.0643 0.0199 3.2311
## Gussng.skor48 0.0087 0.0229 0.3794
## Gussng.skor49 0.0284 0.0179 1.5906
## Gussng.skor50 0.1551 0.0149 10.4226
## Gussng.skor51 0.0000 0.0007 0.0121
## Gussng.skor52 0.1592 0.0184 8.6527
## Gussng.skor53 0.0000 0.0002 0.0462
## Gussng.skor54 0.1316 0.0199 6.6215
## Gussng.skor55 0.1777 0.0168 10.5884
## Gussng.skor56 0.1630 0.0229 7.1152
## Gussng.skor57 0.0001 0.0007 0.1216
## Gussng.skor58 0.0005 0.0030 0.1620
## Gussng.skor59 0.0302 0.0278 1.0881
## Gussng.skor60 0.0003 NaN NaN
## Dffclt.skor01 1.4831 0.0808 18.3456
## Dffclt.skor02 0.7013 0.0356 19.7236
## Dffclt.skor03 1.1500 0.0553 20.8042
## Dffclt.skor04 1.3313 0.0631 21.0885
## Dffclt.skor05 1.0751 0.0533 20.1868
## Dffclt.skor06 0.6823 0.0352 19.3945
## Dffclt.skor07 1.2926 0.0413 31.2937
## Dffclt.skor08 1.2996 0.0422 30.7697
## Dffclt.skor09 1.1095 0.0376 29.5185
## Dffclt.skor10 0.8812 0.0911 9.6752
## Dffclt.skor11 1.0912 0.0740 14.7376
## Dffclt.skor12 1.1320 0.0592 19.1371
## Dffclt.skor13 1.1784 0.0613 19.2309
## Dffclt.skor14 0.8208 0.0912 8.9956
## Dffclt.skor15 1.4602 0.0486 30.0384
## Dffclt.skor16 24.4164 NaN NaN
## Dffclt.skor17 1.0888 0.0738 14.7505
## Dffclt.skor18 0.8651 0.0713 12.1368
## Dffclt.skor19 0.7038 0.0358 19.6768
## Dffclt.skor20 1.1617 0.0544 21.3570
## Dffclt.skor21 0.7637 0.0732 10.4377
## Dffclt.skor22 1.1242 0.0385 29.1724
## Dffclt.skor23 1.1859 0.0920 12.8966
## Dffclt.skor24 1.3237 0.0555 23.8378
## Dffclt.skor25 1.3294 0.0551 24.1111
## Dffclt.skor26 1.2485 0.0408 30.5981
## Dffclt.skor27 1.1186 0.0626 17.8649
## Dffclt.skor28 1.4987 0.0660 22.7242
## Dffclt.skor29 1.3377 0.0532 25.1552
## Dffclt.skor30 1.0903 0.0363 30.0688
## Dffclt.skor31 0.9430 0.0412 22.8637
## Dffclt.skor32 -2.6751 0.1056 -25.3225
## Dffclt.skor33 1.5276 0.0600 25.4664
## Dffclt.skor34 1.6054 0.0552 29.0666
## Dffclt.skor35 0.7231 0.0577 12.5225
## Dffclt.skor36 0.7079 0.0383 18.4961
## Dffclt.skor37 0.9774 0.0584 16.7480
## Dffclt.skor38 1.2385 0.0614 20.1618
## Dffclt.skor39 1.1384 0.0398 28.5970
## Dffclt.skor40 1.4846 0.0650 22.8277
## Dffclt.skor41 1.1496 0.0638 18.0098
## Dffclt.skor42 1.1508 0.0402 28.6208
## Dffclt.skor43 0.6963 0.0348 19.9974
## Dffclt.skor44 1.2221 0.0412 29.6457
## Dffclt.skor45 1.4235 0.0499 28.4989
## Dffclt.skor46 1.1097 0.0681 16.3037
## Dffclt.skor47 1.1769 0.0559 21.0382
## Dffclt.skor48 1.2936 0.0615 21.0329
## Dffclt.skor49 1.2936 0.0534 24.2202
## Dffclt.skor50 1.3411 0.0507 26.4413
## Dffclt.skor51 0.6759 0.0370 18.2617
## Dffclt.skor52 1.0377 0.0546 18.9909
## Dffclt.skor53 1.2518 0.0395 31.6744
## Dffclt.skor54 1.3582 0.0623 21.7848
## Dffclt.skor55 1.4791 0.0632 23.3962
## Dffclt.skor56 1.1058 0.0672 16.4529
## Dffclt.skor57 1.3421 0.0423 31.7168
## Dffclt.skor58 1.2546 0.0403 31.1175
## Dffclt.skor59 0.7644 0.0708 10.7908
## Dffclt.skor60 0.7336 0.0372 19.7031
## Dscrmn.skor01 0.9687 0.1230 7.8770
## Dscrmn.skor02 0.9548 0.0357 26.7237
## Dscrmn.skor03 1.1708 0.1000 11.7041
## Dscrmn.skor04 0.9972 0.0940 10.6130
## Dscrmn.skor05 1.1066 0.0768 14.4035
## Dscrmn.skor06 1.0263 0.0383 26.8242
## Dscrmn.skor07 1.3361 0.0521 25.6628
## Dscrmn.skor08 1.3004 0.0493 26.3636
## Dscrmn.skor09 1.2986 0.0474 27.4208
## Dscrmn.skor10 1.0116 0.1004 10.0722
## Dscrmn.skor11 1.1836 0.1239 9.5504
## Dscrmn.skor12 1.3799 0.1294 10.6615
## Dscrmn.skor13 1.3332 0.1311 10.1670
## Dscrmn.skor14 1.0209 0.0991 10.3063
## Dscrmn.skor15 1.2332 0.0656 18.8027
## Dscrmn.skor16 0.7870 NaN NaN
## Dscrmn.skor17 1.1390 0.1147 9.9273
## Dscrmn.skor18 1.1453 0.1011 11.3338
## Dscrmn.skor19 1.0557 0.0399 26.4306
## Dscrmn.skor20 1.4955 0.1350 11.0770
## Dscrmn.skor21 1.0767 0.0857 12.5577
## Dscrmn.skor22 1.2723 0.0468 27.2057
## Dscrmn.skor23 0.9090 0.0984 9.2393
## Dscrmn.skor24 1.0350 0.0809 12.7980
## Dscrmn.skor25 1.3085 0.1201 10.8941
## Dscrmn.skor26 1.3087 0.0504 25.9630
## Dscrmn.skor27 1.0366 0.0932 11.1224
## Dscrmn.skor28 0.8363 0.0276 30.2842
## Dscrmn.skor29 1.1954 0.0980 12.2015
## Dscrmn.skor30 1.3546 0.0496 27.2943
## Dscrmn.skor31 1.0884 0.0464 23.4344
## Dscrmn.skor32 -10.0720 NaN NaN
## Dscrmn.skor33 1.3570 0.1404 9.6686
## Dscrmn.skor34 1.1591 0.0479 24.2212
## Dscrmn.skor35 1.0063 0.0590 17.0622
## Dscrmn.skor36 0.9947 0.0393 25.2996
## Dscrmn.skor37 1.1383 0.0924 12.3235
## Dscrmn.skor38 1.2751 0.1313 9.7093
## Dscrmn.skor39 1.2382 0.0465 26.6566
## Dscrmn.skor40 1.0782 0.1147 9.3984
## Dscrmn.skor41 1.2466 0.1157 10.7749
## Dscrmn.skor42 1.2312 0.0465 26.4691
## Dscrmn.skor43 1.0850 0.0403 26.9039
## Dscrmn.skor44 1.2598 0.0479 26.3020
## Dscrmn.skor45 1.4630 0.1098 13.3236
## Dscrmn.skor46 1.2527 0.1246 10.0512
## Dscrmn.skor47 1.1805 0.0984 11.9949
## Dscrmn.skor48 0.9965 0.0907 10.9877
## Dscrmn.skor49 1.1334 0.0921 12.3061
## Dscrmn.skor50 1.5008 0.1344 11.1709
## Dscrmn.skor51 0.9875 0.0384 25.7471
## Dscrmn.skor52 1.3719 0.1096 12.5222
## Dscrmn.skor53 1.3736 0.0509 27.0046
## Dscrmn.skor54 1.2011 0.1162 10.3393
## Dscrmn.skor55 1.2870 0.1271 10.1228
## Dscrmn.skor56 1.2110 0.1132 10.6956
## Dscrmn.skor57 1.3343 0.0506 26.3712
## Dscrmn.skor58 1.3423 0.0537 24.9855
## Dscrmn.skor59 1.0864 0.0856 12.6982
## Dscrmn.skor60 0.9711 0.0371 26.1898
##
## Integration:
## method: Gauss-Hermite
## quadrature points: 21
##
## Optimization:
## Optimizer: optim (BFGS)
## Convergence: 0
## max(|grad|): 1.1
##
## Call:
## tpm(data = datalc)
##
## Total Information = 65.42
## Information in (-10, 10) = 65.42 (100%)
## Based on all the items##
## Call:
## tpm(data = datalc)
##
## Total Information = 65.42
## Information in (0, 10) = 48.23 (73.72%)
## Based on all the items
##
## Item-Fit Statistics and P-values
##
## Call:
## tpm(data = datalc)
##
## Alternative: Items do not fit the model
## Ability Categories: 10
##
## X^2 Pr(>X^2)
## skor01 33.2156 <0.0001
## skor02 34.0579 <0.0001
## skor03 32.5531 <0.0001
## skor04 31.3405 0.0001
## skor05 24.7252 0.0008
## skor06 47.3351 <0.0001
## skor07 31.0229 0.0001
## skor08 28.6927 0.0002
## skor09 58.8207 <0.0001
## skor10 39.1830 <0.0001
## skor11 28.7295 0.0002
## skor12 17.5169 0.0144
## skor13 28.7780 0.0002
## skor14 26.2910 0.0004
## skor15 24.1929 0.0011
## skor16 74.6231 <0.0001
## skor17 20.9980 0.0038
## skor18 29.5601 0.0001
## skor19 42.5719 <0.0001
## skor20 18.4183 0.0102
## skor21 39.4219 <0.0001
## skor22 39.6568 <0.0001
## skor23 27.8370 0.0002
## skor24 25.6706 0.0006
## skor25 20.8633 0.004
## skor26 28.4543 0.0002
## skor27 33.2086 <0.0001
## skor28 21.7350 0.0028
## skor29 19.7282 0.0062
## skor30 31.6117 <0.0001
## skor31 27.1763 0.0003
## skor32 286.9525 <0.0001
## skor33 21.5346 0.0031
## skor34 42.3239 <0.0001
## skor35 41.1228 <0.0001
## skor36 38.9742 <0.0001
## skor37 31.2521 0.0001
## skor38 30.7475 0.0001
## skor39 37.2404 <0.0001
## skor40 27.1094 0.0003
## skor41 34.4121 <0.0001
## skor42 33.6828 <0.0001
## skor43 38.6750 <0.0001
## skor44 41.8083 <0.0001
## skor45 24.5422 0.0009
## skor46 31.6594 <0.0001
## skor47 29.0473 0.0001
## skor48 25.7649 0.0006
## skor49 27.3062 0.0003
## skor50 19.3418 0.0072
## skor51 43.0013 <0.0001
## skor52 26.7833 0.0004
## skor53 35.9519 <0.0001
## skor54 20.8415 0.004
## skor55 15.1934 0.0336
## skor56 17.5964 0.0139
## skor57 46.8338 <0.0001
## skor58 39.5201 <0.0001
## skor59 32.9820 <0.0001
## skor60 28.9581 0.0001
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.79200 -0.59930 0.02767 0.06024 0.68550 3.57100PERBANDINGAN INFORMATION FUNCTION
##
## Call:
## rasch(data = datalc, constraint = cbind(ncol(datalc) + 1, 1))
##
## Total Information = 59.99
## Information in (-10, 10) = 59.99 (100%)
## Based on all the items##
## Call:
## rasch(data = datalc)
##
## Total Information = 55.05
## Information in (-10, 10) = 55.05 (100%)
## Based on all the items##
## Call:
## ltm(formula = datalc ~ z1)
##
## Total Information = 56.93
## Information in (-10, 10) = 56.93 (100%)
## Based on all the items##
## Call:
## tpm(data = datalc)
##
## Total Information = 65.42
## Information in (-10, 10) = 65.42 (100%)
## Based on all the itemsANOVA KEEMPAT MODEL
##
## Likelihood Ratio Table
## AIC BIC log.Lik LRT df p.value
## lcrasch 389689.5 390090.6 -194784.8
## lcIRT.1pl 389622.8 390030.6 -194750.4 68.73 1 <0.001##
## Likelihood Ratio Table
## AIC BIC log.Lik LRT df p.value
## lcIRT.1pl 389622.8 390030.6 -194750.4
## lcIRT.2pl 386741.4 387543.5 -193250.7 2999.4 59 <0.001##
## Likelihood Ratio Table
## AIC BIC log.Lik LRT df p.value
## lcIRT.2pl 386741.4 387543.5 -193250.7
## lcIRT.3pl 386767.0 387970.2 -193203.5 94.41 60 0.003