Kalibrasi Test Kemampuan Numerik
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 1 0 0 0 0 1
## 2 0 1 0 0 0 0 0 1 0 1
## 3 0 0 0 0 1 0 0 0 0 0
## 4 1 0 0 0 0 0 0 0 0 0
## 5 0 1 0 0 1 1 0 0 0 0
## 6 0 1 0 0 0 0 0 0 0 0
## skor11 skor12 skor13 skor14 skor15 skor16 skor17 skor18 skor19 skor20
## 1 0 0 0 0 0 1 0 0 0 0
## 2 0 1 1 1 0 0 0 0 0 0
## 3 0 1 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 1 0 1 0
## 5 1 1 0 1 1 0 1 0 0 1
## 6 0 0 0 0 0 1 0 0 1 0
## skor21 skor22 skor23 skor24 skor25 skor26 skor27 skor28 skor29 skor30
## 1 1 0 0 0 0 0 0 0 0 0
## 2 1 0 0 0 0 1 1 0 0 0
## 3 0 0 0 0 0 0 0 1 0 0
## 4 1 0 0 0 0 0 0 0 0 0
## 5 1 1 0 1 0 0 0 1 1 0
## 6 0 0 0 0 0 1 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 0 0 0 1 0 0 0 0
## 3 0 0 0 0 0 1 0 0 0 0
## 4 0 0 0 0 0 0 0 0 0 0
## 5 0 0 1 0 0 1 1 1 0 1
## 6 0 1 0 0 0 0 0 1 1 0
## skor41 skor42 skor43 skor44 skor45 skor46 skor47 skor48 skor49 skor50
## 1 0 0 0 0 0 0 0 0 0 0
## 2 0 0 1 1 0 0 1 0 0 0
## 3 0 0 1 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 0 0 0 1
## 5 0 0 0 1 1 0 0 0 0 1
## 6 0 0 0 1 0 0 1 1 0 0
## skor51 skor52 skor53 skor54 skor55 skor56 skor57 skor58 skor59 skor60
## 1 0 0 0 0 1 0 0 0 0 1
## 2 0 1 0 0 1 1 1 1 0 1
## 3 0 0 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 0 0 0 0
## 5 0 0 1 0 0 0 0 0 0 0
## 6 0 0 0 1 0 0 0 0 0 0ANALISA CTT
## Sample.SD Item.total Item.Tot.woi Difficulty Discrimination
## skor01 0.4906846 0.4220488 0.3745835 0.4037225 0.4609137
## skor02 0.4965627 0.4490597 0.4022706 0.4411168 0.5005076
## skor03 0.4837127 0.4360351 0.3898941 0.3732657 0.4598985
## skor04 0.3450037 0.1949249 0.1567765 0.1380711 0.1441624
## skor05 0.4965224 0.4291798 0.3814555 0.4407783 0.4715736
## skor06 0.4053891 0.1957372 0.1508460 0.2072758 0.1771574
## skor07 0.3580115 0.2121112 0.1727556 0.1509306 0.1604061
## skor08 0.4012974 0.1734664 0.1287229 0.2016920 0.1512690
## skor09 0.4823540 0.4430792 0.3973963 0.3681895 0.4629442
## skor10 0.4066058 0.2000455 0.1550842 0.2089679 0.1903553
## skor11 0.4907509 0.4172032 0.3695166 0.4040609 0.4553299
## skor12 0.3607943 0.1891936 0.1492038 0.1538071 0.1502538
## skor13 0.4950142 0.4354256 0.3881401 0.4292724 0.4771574
## skor14 0.4058771 0.1760042 0.1307783 0.2079526 0.1654822
## skor15 0.3625713 0.2103110 0.1704211 0.1556684 0.1614213
## skor16 0.4898007 0.4195313 0.3720427 0.3993232 0.4512690
## skor17 0.4039150 0.2003921 0.1557373 0.2052453 0.1817259
## skor18 0.4105457 0.1923156 0.1467950 0.2145516 0.1736041
## skor19 0.3843890 0.1870303 0.1443675 0.1802030 0.1644670
## skor20 0.4955090 0.4441466 0.3972241 0.4328257 0.4928934
## skor21 0.4973892 0.4476324 0.4006933 0.4485618 0.4974619
## skor22 0.4920566 0.4415389 0.3948317 0.4109983 0.4827411
## skor23 0.4842838 0.4394640 0.3934242 0.3754653 0.4771574
## skor24 0.3884196 0.1831218 0.1399536 0.1851100 0.1609137
## skor25 0.4005406 0.1870713 0.1425970 0.2006768 0.1720812
## skor26 0.4956906 0.4415973 0.3945355 0.4341794 0.4949239
## skor27 0.4955548 0.4405672 0.3934700 0.4331641 0.4908629
## skor28 0.3614426 0.2096055 0.1698307 0.1544839 0.1629442
## skor29 0.4055113 0.2203045 0.1758001 0.2074450 0.2010152
## skor30 0.3563536 0.1993057 0.1599494 0.1492386 0.1512690
## skor31 0.4797632 0.4317620 0.3858178 0.3590525 0.4431472
## skor32 0.4943912 0.4454903 0.3987416 0.4250423 0.5000000
## skor33 0.4846299 0.4434197 0.3975296 0.3768190 0.4725888
## skor34 0.4945441 0.4193847 0.3714142 0.4260575 0.4578680
## skor35 0.3831167 0.1869750 0.1444541 0.1786802 0.1649746
## skor36 0.4016743 0.1834038 0.1387508 0.2021997 0.1680203
## skor37 0.4868218 0.4518139 0.4061069 0.3857868 0.4730964
## skor38 0.4941579 0.4505502 0.4040680 0.4235195 0.5040609
## skor39 0.3651237 0.2368821 0.1971409 0.1583756 0.1888325
## skor40 0.4170872 0.1889590 0.1426545 0.2241963 0.1873096
## skor41 0.4928031 0.4509260 0.4045940 0.4152284 0.4898477
## skor42 0.4930054 0.4215280 0.3738074 0.4164129 0.4654822
## skor43 0.3932805 0.1835431 0.1398348 0.1912014 0.1588832
## skor44 0.3957841 0.1686648 0.1244818 0.1944162 0.1548223
## skor45 0.4927447 0.4345814 0.3874812 0.4148900 0.4822335
## skor46 0.3495615 0.1995652 0.1609705 0.1424704 0.1436548
## skor47 0.3918117 0.1877994 0.1443148 0.1893401 0.1629442
## skor48 0.4886563 0.4233057 0.3760992 0.3939086 0.4527919
## skor49 0.4157372 0.1838196 0.1375920 0.2221658 0.1822335
## skor50 0.3553513 0.2201947 0.1812584 0.1482234 0.1710660
## skor51 0.4944934 0.4392015 0.3921443 0.4257191 0.4939086
## skor52 0.4951582 0.4334974 0.3861079 0.4302876 0.4781726
## skor53 0.4975613 0.4269178 0.3789863 0.4502538 0.4680203
## skor54 0.3822628 0.1563501 0.1135494 0.1776650 0.1233503
## skor55 0.4889845 0.4113125 0.3635469 0.3954315 0.4375635
## skor56 0.3359032 0.2088543 0.1719093 0.1296108 0.1426396
## skor57 0.4940527 0.4344910 0.3872572 0.4228426 0.4791878
## skor58 0.4064846 0.1922019 0.1471351 0.2087986 0.1756345
## skor59 0.4845438 0.4346866 0.3884019 0.3764805 0.4644670
## skor60 0.4961708 0.4387924 0.3915506 0.4379019 0.4893401
## Item.Criterion Item.Reliab Item.Rel.woi Item.Validity
## skor01 NA 0.20707531 0.18378681 NA
## skor02 NA 0.22296741 0.19973564 NA
## skor03 NA 0.21089790 0.18858076 NA
## skor04 NA 0.06724413 0.05408391 NA
## skor05 NA 0.21307936 0.18938517 NA
## skor06 NA 0.07934301 0.06114616 NA
## skor07 NA 0.07593182 0.06184327 NA
## skor08 NA 0.06960573 0.05165179 NA
## skor09 NA 0.21370292 0.19166946 NA
## skor10 NA 0.08133277 0.06305281 NA
## skor11 NA 0.20472552 0.18132526 NA
## skor12 NA 0.06825418 0.05382733 NA
## skor13 NA 0.21552360 0.19211860 NA
## skor14 NA 0.07143003 0.05307542 NA
## skor15 NA 0.07624627 0.06178457 NA
## skor16 NA 0.20546938 0.18221139 NA
## skor17 NA 0.08093452 0.06289930 NA
## skor18 NA 0.07894765 0.06026097 NA
## skor19 NA 0.07188631 0.05548859 NA
## skor20 NA 0.22006000 0.19681145 NA
## skor21 NA 0.22262864 0.19928365 NA
## skor22 NA 0.21724375 0.19426308 NA
## skor23 NA 0.21280727 0.19051283 NA
## skor24 NA 0.07112207 0.05435613 NA
## skor25 NA 0.07492333 0.05711106 NA
## skor26 NA 0.21887713 0.19555104 NA
## skor27 NA 0.21830671 0.19496944 NA
## skor28 NA 0.07575396 0.06137885 NA
## skor29 NA 0.08932840 0.07128291 NA
## skor30 NA 0.07101729 0.05699374 NA
## skor31 NA 0.20712600 0.18508552 NA
## skor32 NA 0.22022787 0.19711769 NA
## skor33 NA 0.21487628 0.19263845 NA
## skor34 NA 0.20738670 0.18366518 NA
## skor35 NA 0.07162717 0.05533811 NA
## skor36 NA 0.07366235 0.05572790 NA
## skor37 NA 0.21993423 0.19768496 NA
## skor38 NA 0.22262412 0.19965649 NA
## skor39 NA 0.08648396 0.07197472 NA
## skor40 NA 0.07880573 0.05949434 NA
## skor41 NA 0.22219891 0.19936828 NA
## skor42 NA 0.20779800 0.18427346 NA
## skor43 NA 0.07217783 0.05498967 NA
## skor44 NA 0.06674921 0.04926375 NA
## skor45 NA 0.21411960 0.19091315 NA
## skor46 NA 0.06975443 0.05626433 NA
## skor47 NA 0.07357578 0.05653942 NA
## skor48 NA 0.20683353 0.18376770 NA
## skor49 NA 0.07641417 0.05719728 NA
## skor50 NA 0.07823984 0.06440496 NA
## skor51 NA 0.21716385 0.19389637 NA
## skor52 NA 0.21463164 0.19116835 NA
## skor53 NA 0.21239981 0.18855294 NA
## skor54 NA 0.05976177 0.04340204 NA
## skor55 NA 0.20110844 0.17775378 NA
## skor56 NA 0.07014890 0.05774001 NA
## skor57 NA 0.21464330 0.19130925 NA
## skor58 NA 0.07812051 0.05980308 NA
## skor59 NA 0.21060686 0.18818179 NA
## skor60 NA 0.21769755 0.19425955 NA## LCL ALPHA UCL
## 1 0.8567977 0.8618671 0.8668433KALIBRASI 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
## 0.413 0.237 0.559 2.019 0.239
## Dffclt.skor06 Dffclt.skor07 Dffclt.skor08 Dffclt.skor09 Dffclt.skor10
## 1.484 1.907 1.522 0.584 1.472
## Dffclt.skor11 Dffclt.skor12 Dffclt.skor13 Dffclt.skor14 Dffclt.skor15
## 0.411 1.882 0.293 1.479 1.867
## Dffclt.skor16 Dffclt.skor17 Dffclt.skor18 Dffclt.skor19 Dffclt.skor20
## 0.434 1.497 1.435 1.675 0.277
## Dffclt.skor21 Dffclt.skor22 Dffclt.skor23 Dffclt.skor24 Dffclt.skor25
## 0.202 0.378 0.548 1.639 1.529
## Dffclt.skor26 Dffclt.skor27 Dffclt.skor28 Dffclt.skor29 Dffclt.skor30
## 0.270 0.275 1.877 1.483 1.921
## Dffclt.skor31 Dffclt.skor32 Dffclt.skor33 Dffclt.skor34 Dffclt.skor35
## 0.629 0.313 0.542 0.307 1.686
## Dffclt.skor36 Dffclt.skor37 Dffclt.skor38 Dffclt.skor39 Dffclt.skor40
## 1.518 0.499 0.320 1.845 1.373
## Dffclt.skor41 Dffclt.skor42 Dffclt.skor43 Dffclt.skor44 Dffclt.skor45
## 0.359 0.352 1.595 1.572 0.360
## Dffclt.skor46 Dffclt.skor47 Dffclt.skor48 Dffclt.skor49 Dffclt.skor50
## 1.980 1.608 0.460 1.386 1.930
## Dffclt.skor51 Dffclt.skor52 Dffclt.skor53 Dffclt.skor54 Dffclt.skor55
## 0.309 0.288 0.196 1.693 0.453
## Dffclt.skor56 Dffclt.skor57 Dffclt.skor58 Dffclt.skor59 Dffclt.skor60
## 2.099 0.322 1.473 0.543 0.253
## Dscrmn
## 1.000
##
## Log.Lik: -193847.5
##
## 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 204.9211 <0.0001
## skor02 212.4682 <0.0001
## skor03 227.3348 <0.0001
## skor04 68.9288 <0.0001
## skor05 191.3933 <0.0001
## skor06 136.5347 <0.0001
## skor07 79.2066 <0.0001
## skor08 145.3571 <0.0001
## skor09 280.9161 <0.0001
## skor10 141.4521 <0.0001
## skor11 185.1631 <0.0001
## skor12 96.8935 <0.0001
## skor13 193.5705 <0.0001
## skor14 173.1147 <0.0001
## skor15 75.8243 <0.0001
## skor16 202.0454 <0.0001
## skor17 140.0652 <0.0001
## skor18 165.9669 <0.0001
## skor19 117.4376 <0.0001
## skor20 205.2378 <0.0001
## skor21 203.5756 <0.0001
## skor22 227.3568 <0.0001
## skor23 230.9251 <0.0001
## skor24 137.7145 <0.0001
## skor25 161.4028 <0.0001
## skor26 184.5115 <0.0001
## skor27 195.7038 <0.0001
## skor28 96.4913 <0.0001
## skor29 149.5542 <0.0001
## skor30 83.4793 <0.0001
## skor31 225.6047 <0.0001
## skor32 206.8276 <0.0001
## skor33 248.6609 <0.0001
## skor34 191.5168 <0.0001
## skor35 142.9248 <0.0001
## skor36 179.7984 <0.0001
## skor37 266.6330 <0.0001
## skor38 219.8196 <0.0001
## skor39 81.0037 <0.0001
## skor40 171.6092 <0.0001
## skor41 233.6671 <0.0001
## skor42 160.2239 <0.0001
## skor43 134.4346 <0.0001
## skor44 166.2752 <0.0001
## skor45 206.2890 <0.0001
## skor46 91.8320 <0.0001
## skor47 138.3634 <0.0001
## skor48 194.1898 <0.0001
## skor49 217.2863 <0.0001
## skor50 83.7990 <0.0001
## skor51 191.5781 <0.0001
## skor52 212.5706 <0.0001
## skor53 179.6269 <0.0001
## skor54 136.3982 <0.0001
## skor55 181.6313 <0.0001
## skor56 54.2537 <0.0001
## skor57 203.6988 <0.0001
## skor58 152.6386 <0.0001
## skor59 232.0075 <0.0001
## skor60 177.3420 <0.0001## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.3770 -0.5659 -0.1488 -0.1055 0.3625 3.8680## [1] 0.7008123
KALIBRASI MODEL IRT 1 PL
##
## Call:
## rasch(data = datalc)
##
## Model Summary:
## log.Lik AIC BIC
## -193478.7 387079.3 387487.1
##
## Coefficients:
## value std.err z.vals
## Dffclt.skor01 0.5892 0.0396 14.8762
## Dffclt.skor02 0.3605 0.0390 9.2317
## Dffclt.skor03 0.7803 0.0403 19.3565
## Dffclt.skor04 2.6959 0.0591 45.6496
## Dffclt.skor05 0.3623 0.0391 9.2778
## Dffclt.skor06 1.9929 0.0497 40.0701
## Dffclt.skor07 2.5468 0.0568 44.8108
## Dffclt.skor08 2.0421 0.0503 40.6034
## Dffclt.skor09 0.8150 0.0405 20.1420
## Dffclt.skor10 1.9782 0.0496 39.9069
## Dffclt.skor11 0.5873 0.0396 14.8301
## Dffclt.skor12 2.5151 0.0564 44.6099
## Dffclt.skor13 0.4322 0.0392 11.0289
## Dffclt.skor14 1.9870 0.0497 40.0049
## Dffclt.skor15 2.4961 0.0561 44.4863
## Dffclt.skor16 0.6169 0.0397 15.5417
## Dffclt.skor17 2.0105 0.0499 40.2641
## Dffclt.skor18 1.9283 0.0490 39.3349
## Dffclt.skor19 2.2455 0.0528 42.5677
## Dffclt.skor20 0.4102 0.0391 10.4784
## Dffclt.skor21 0.3149 0.0390 8.0790
## Dffclt.skor22 0.5445 0.0395 13.7933
## Dffclt.skor23 0.7674 0.0403 19.0628
## Dffclt.skor24 2.1962 0.0521 42.1260
## Dffclt.skor25 2.0514 0.0504 40.7011
## Dffclt.skor26 0.4022 0.0391 10.2783
## Dffclt.skor27 0.4086 0.0391 10.4385
## Dffclt.skor28 2.5105 0.0563 44.5802
## Dffclt.skor29 1.9912 0.0497 40.0519
## Dffclt.skor30 2.5674 0.0571 44.9371
## Dffclt.skor31 0.8723 0.0407 21.4158
## Dffclt.skor32 0.4582 0.0392 11.6737
## Dffclt.skor33 0.7575 0.0402 18.8349
## Dffclt.skor34 0.4513 0.0392 11.5033
## Dffclt.skor35 2.2580 0.0529 42.6762
## Dffclt.skor36 2.0376 0.0502 40.5556
## Dffclt.skor37 0.7013 0.0400 17.5347
## Dffclt.skor38 0.4683 0.0393 11.9244
## Dffclt.skor39 2.4654 0.0557 44.2789
## Dffclt.skor40 1.8481 0.0482 38.3667
## Dffclt.skor41 0.5177 0.0394 13.1391
## Dffclt.skor42 0.5115 0.0394 12.9876
## Dffclt.skor43 2.1377 0.0514 41.5737
## Dffclt.skor44 2.1086 0.0511 41.2877
## Dffclt.skor45 0.5208 0.0394 13.2156
## Dffclt.skor46 2.6436 0.0583 45.3746
## Dffclt.skor47 2.1552 0.0516 41.7419
## Dffclt.skor48 0.6518 0.0398 16.3720
## Dffclt.skor49 1.8633 0.0483 38.5553
## Dffclt.skor50 2.5786 0.0573 45.0042
## Dffclt.skor51 0.4538 0.0392 11.5654
## Dffclt.skor52 0.4260 0.0392 10.8732
## Dffclt.skor53 0.3044 0.0390 7.8138
## Dffclt.skor54 2.2682 0.0530 42.7639
## Dffclt.skor55 0.6408 0.0398 16.1109
## Dffclt.skor56 2.7990 0.0607 46.1326
## Dffclt.skor57 0.4711 0.0393 11.9927
## Dffclt.skor58 1.9797 0.0496 39.9231
## Dffclt.skor59 0.7610 0.0402 18.9154
## Dffclt.skor60 0.3796 0.0391 9.7133
## Dscrmn 0.7535 0.0080 93.7753
##
## Integration:
## method: Gauss-Hermite
## quadrature points: 21
##
## Optimization:
## Convergence: 0
## max(|grad|): 2.2
## quasi-Newton: BFGS
##
## Call:
## rasch(data = datalc)
##
## Total Information = 45.11
## Information in (-10, 10) = 45.11 (100%)
## Based on all the items##
## Call:
## rasch(data = datalc)
##
## Total Information = 45.11
## Information in (0, 10) = 32.32 (71.65%)
## 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 204.9211 <0.0001
## skor02 212.4682 <0.0001
## skor03 227.3348 <0.0001
## skor04 68.9288 <0.0001
## skor05 191.3933 <0.0001
## skor06 136.5347 <0.0001
## skor07 79.2066 <0.0001
## skor08 145.3571 <0.0001
## skor09 280.9161 <0.0001
## skor10 141.4521 <0.0001
## skor11 185.1631 <0.0001
## skor12 96.8935 <0.0001
## skor13 193.5705 <0.0001
## skor14 173.1147 <0.0001
## skor15 75.8243 <0.0001
## skor16 202.0454 <0.0001
## skor17 140.0652 <0.0001
## skor18 165.9669 <0.0001
## skor19 117.4376 <0.0001
## skor20 205.2378 <0.0001
## skor21 203.5756 <0.0001
## skor22 227.3568 <0.0001
## skor23 230.9251 <0.0001
## skor24 137.7145 <0.0001
## skor25 161.4028 <0.0001
## skor26 184.5115 <0.0001
## skor27 195.7038 <0.0001
## skor28 96.4913 <0.0001
## skor29 149.5542 <0.0001
## skor30 83.4793 <0.0001
## skor31 225.6047 <0.0001
## skor32 206.8276 <0.0001
## skor33 248.6609 <0.0001
## skor34 191.5168 <0.0001
## skor35 142.9248 <0.0001
## skor36 179.7984 <0.0001
## skor37 266.6330 <0.0001
## skor38 219.8196 <0.0001
## skor39 81.0037 <0.0001
## skor40 171.6092 <0.0001
## skor41 233.6671 <0.0001
## skor42 160.2239 <0.0001
## skor43 134.4346 <0.0001
## skor44 166.2752 <0.0001
## skor45 206.2890 <0.0001
## skor46 91.8320 <0.0001
## skor47 138.3634 <0.0001
## skor48 194.1898 <0.0001
## skor49 217.2863 <0.0001
## skor50 83.7990 <0.0001
## skor51 191.5781 <0.0001
## skor52 212.5706 <0.0001
## skor53 179.6269 <0.0001
## skor54 136.3982 <0.0001
## skor55 181.6313 <0.0001
## skor56 54.2537 <0.0001
## skor57 203.6988 <0.0001
## skor58 152.6386 <0.0001
## skor59 232.0075 <0.0001
## skor60 177.3420 <0.0001## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.59300 -0.66710 -0.15500 -0.08866 0.48570 4.50900KALIBRASI MODEL IRT 2 PL
##
## Call:
## ltm(formula = datalc ~ z1)
##
## Model Summary:
## log.Lik AIC BIC
## -183295.8 366831.7 367633.8
##
## Coefficients:
## value std.err z.vals
## Dffclt.skor01 0.3295 0.0344 9.5887
## Dffclt.skor02 0.1898 0.0342 5.5535
## Dffclt.skor03 0.4357 0.0351 12.4230
## Dffclt.skor04 -1.1134 0.0331 -33.6169
## Dffclt.skor05 0.1738 0.0328 5.2965
## Dffclt.skor06 -1.0304 0.0324 -31.8400
## Dffclt.skor07 -1.0987 0.0331 -33.2271
## Dffclt.skor08 -1.1528 0.0425 -27.1531
## Dffclt.skor09 0.4161 0.0334 12.4758
## Dffclt.skor10 -1.1109 0.0393 -28.2455
## Dffclt.skor11 0.3093 0.0333 9.2993
## Dffclt.skor12 -1.1683 0.0385 -30.3119
## Dffclt.skor13 0.2390 0.0344 6.9409
## Dffclt.skor14 -1.0623 0.0352 -30.2193
## Dffclt.skor15 -1.1327 0.0353 -32.0614
## Dffclt.skor16 0.3624 0.0355 10.2229
## Dffclt.skor17 -1.1414 0.0418 -27.3200
## Dffclt.skor18 -1.1215 0.0410 -27.3699
## Dffclt.skor19 -1.0925 0.0354 -30.8775
## Dffclt.skor20 0.2022 0.0328 6.1634
## Dffclt.skor21 0.1454 0.0330 4.4102
## Dffclt.skor22 0.3090 0.0347 8.9038
## Dffclt.skor23 0.4354 0.0354 12.3128
## Dffclt.skor24 -1.0540 0.0324 -32.5208
## Dffclt.skor25 -1.1132 0.0388 -28.7199
## Dffclt.skor26 0.2024 0.0332 6.0972
## Dffclt.skor27 0.2184 0.0340 6.4168
## Dffclt.skor28 -1.1230 0.0350 -32.0536
## Dffclt.skor29 -1.0514 0.0341 -30.8659
## Dffclt.skor30 -1.1164 0.0341 -32.7271
## Dffclt.skor31 0.4712 0.0347 13.5633
## Dffclt.skor32 0.2286 0.0327 6.9834
## Dffclt.skor33 0.4251 0.0351 12.0984
## Dffclt.skor34 0.2390 0.0336 7.1145
## Dffclt.skor35 -1.1041 0.0361 -30.5927
## Dffclt.skor36 -1.0498 0.0335 -31.3786
## Dffclt.skor37 0.3932 0.0348 11.3025
## Dffclt.skor38 0.2437 0.0332 7.3297
## Dffclt.skor39 -1.0667 0.0304 -35.0433
## Dffclt.skor40 -1.0215 0.0333 -30.6463
## Dffclt.skor41 0.2961 0.0348 8.5125
## Dffclt.skor42 0.2959 0.0351 8.4230
## Dffclt.skor43 -1.1410 0.0402 -28.4112
## Dffclt.skor44 -1.1790 0.0441 -26.7580
## Dffclt.skor45 0.2924 0.0345 8.4662
## Dffclt.skor46 -1.1212 0.0341 -32.9272
## Dffclt.skor47 -1.1419 0.0403 -28.3344
## Dffclt.skor48 0.4136 0.0374 11.0577
## Dffclt.skor49 -1.0517 0.0358 -29.3968
## Dffclt.skor50 -1.0865 0.0317 -34.2973
## Dffclt.skor51 0.2903 0.0372 7.8052
## Dffclt.skor52 0.2198 0.0334 6.5863
## Dffclt.skor53 0.1299 0.0323 4.0272
## Dffclt.skor54 -1.2275 0.0466 -26.3320
## Dffclt.skor55 0.3610 0.0347 10.4083
## Dffclt.skor56 -1.0868 0.0312 -34.7960
## Dffclt.skor57 0.2609 0.0342 7.6174
## Dffclt.skor58 -1.0934 0.0379 -28.8684
## Dffclt.skor59 0.3973 0.0335 11.8424
## Dffclt.skor60 0.2032 0.0343 5.9312
## Dscrmn.skor01 1.0704 0.0422 25.3857
## Dscrmn.skor02 0.9675 0.0405 23.8744
## Dscrmn.skor03 1.1522 0.0436 26.4375
## Dscrmn.skor04 -2.7950 0.1650 -16.9372
## Dscrmn.skor05 1.0191 0.0421 24.1826
## Dscrmn.skor06 -2.0327 0.1111 -18.2901
## Dscrmn.skor07 -2.6256 0.1536 -17.0905
## Dscrmn.skor08 -1.6988 0.0983 -17.2775
## Dscrmn.skor09 1.2498 0.0466 26.8016
## Dscrmn.skor10 -1.7329 0.0982 -17.6456
## Dscrmn.skor11 1.1177 0.0436 25.6185
## Dscrmn.skor12 -2.2616 0.1336 -16.9261
## Dscrmn.skor13 0.9905 0.0408 24.2534
## Dscrmn.skor14 -1.9007 0.1059 -17.9559
## Dscrmn.skor15 -2.3790 0.1350 -17.6189
## Dscrmn.skor16 1.0465 0.0415 25.2284
## Dscrmn.skor17 -1.6892 0.0975 -17.3235
## Dscrmn.skor18 -1.6422 0.0930 -17.6575
## Dscrmn.skor19 -2.1706 0.1252 -17.3414
## Dscrmn.skor20 1.0467 0.0426 24.5877
## Dscrmn.skor21 0.9908 0.0415 23.8923
## Dscrmn.skor22 1.0385 0.0415 25.0047
## Dscrmn.skor23 1.1340 0.0431 26.3274
## Dscrmn.skor24 -2.2629 0.1286 -17.6030
## Dscrmn.skor25 -1.8223 0.1032 -17.6493
## Dscrmn.skor26 1.0256 0.0421 24.3598
## Dscrmn.skor27 0.9963 0.0412 24.2093
## Dscrmn.skor28 -2.4432 0.1425 -17.1480
## Dscrmn.skor29 -1.9469 0.1086 -17.9233
## Dscrmn.skor30 -2.5674 0.1505 -17.0610
## Dscrmn.skor31 1.2197 0.0452 27.0053
## Dscrmn.skor32 1.0705 0.0431 24.8568
## Dscrmn.skor33 1.1395 0.0433 26.2889
## Dscrmn.skor34 1.0310 0.0419 24.6073
## Dscrmn.skor35 -2.1460 0.1241 -17.2955
## Dscrmn.skor36 -2.0253 0.1116 -18.1405
## Dscrmn.skor37 1.1206 0.0430 26.0362
## Dscrmn.skor38 1.0544 0.0424 24.8919
## Dscrmn.skor39 -2.6644 0.1515 -17.5908
## Dscrmn.skor40 -1.8340 0.0991 -18.5081
## Dscrmn.skor41 1.0231 0.0412 24.8193
## Dscrmn.skor42 1.0052 0.0407 24.6884
## Dscrmn.skor43 -1.8520 0.1067 -17.3627
## Dscrmn.skor44 -1.7080 0.1002 -17.0508
## Dscrmn.skor45 1.0331 0.0416 24.8495
## Dscrmn.skor46 -2.6659 0.1560 -17.0892
## Dscrmn.skor47 -1.8715 0.1093 -17.1206
## Dscrmn.skor48 0.9959 0.0397 25.0987
## Dscrmn.skor49 -1.7585 0.0966 -18.2111
## Dscrmn.skor50 -2.7475 0.1594 -17.2358
## Dscrmn.skor51 0.9144 0.0386 23.7128
## Dscrmn.skor52 1.0286 0.0420 24.5181
## Dscrmn.skor53 1.0145 0.0423 23.9673
## Dscrmn.skor54 -1.7668 0.1066 -16.5818
## Dscrmn.skor55 1.0880 0.0425 25.6176
## Dscrmn.skor56 -3.1522 0.1933 -16.3055
## Dscrmn.skor57 1.0173 0.0413 24.6176
## Dscrmn.skor58 -1.7868 0.1011 -17.6702
## Dscrmn.skor59 1.2071 0.0454 26.5937
## Dscrmn.skor60 0.9744 0.0407 23.9623
##
## Integration:
## method: Gauss-Hermite
## quadrature points: 21
##
## Optimization:
## Convergence: 0
## max(|grad|): 1.6
## quasi-Newton: BFGS
##
## Call:
## ltm(formula = datalc ~ z1)
##
## Total Information = 94.73
## Information in (-10, 10) = 94.73 (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 127.6681 <0.0001
## skor02 145.6377 <0.0001
## skor03 221.3020 <0.0001
## skor04 387.5301 <0.0001
## skor05 119.8774 <0.0001
## skor06 300.1478 <0.0001
## skor07 368.6758 <0.0001
## skor08 67.9093 <0.0001
## skor09 194.5692 <0.0001
## skor10 253.4872 <0.0001
## skor11 81.7088 <0.0001
## skor12 368.0814 <0.0001
## skor13 119.6732 <0.0001
## skor14 138.2933 <0.0001
## skor15 252.1089 <0.0001
## skor16 76.9251 <0.0001
## skor17 246.6586 <0.0001
## skor18 229.8128 <0.0001
## skor19 196.3624 <0.0001
## skor20 135.6208 <0.0001
## skor21 123.6277 <0.0001
## skor22 145.7908 <0.0001
## skor23 237.6945 <0.0001
## skor24 178.8076 <0.0001
## skor25 154.7165 <0.0001
## skor26 109.0595 <0.0001
## skor27 115.6554 <0.0001
## skor28 237.9997 <0.0001
## skor29 237.1200 <0.0001
## skor30 166.4537 <0.0001
## skor31 219.2794 <0.0001
## skor32 133.2678 <0.0001
## skor33 222.2287 <0.0001
## skor34 103.0229 <0.0001
## skor35 53.7339 <0.0001
## skor36 186.6703 <0.0001
## skor37 264.7533 <0.0001
## skor38 147.3129 <0.0001
## skor39 697.6616 <0.0001
## skor40 236.9182 <0.0001
## skor41 136.2956 <0.0001
## skor42 80.4434 <0.0001
## skor43 142.8702 <0.0001
## skor44 176.3300 <0.0001
## skor45 105.7551 <0.0001
## skor46 428.8862 <0.0001
## skor47 137.2055 <0.0001
## skor48 113.9348 <0.0001
## skor49 215.5757 <0.0001
## skor50 496.0156 <0.0001
## skor51 141.5590 <0.0001
## skor52 124.2072 <0.0001
## skor53 115.7808 <0.0001
## skor54 91.5185 <0.0001
## skor55 89.7347 <0.0001
## skor56 212.1947 <0.0001
## skor57 131.8775 <0.0001
## skor58 169.9906 <0.0001
## skor59 246.2420 <0.0001
## skor60 101.1464 <0.0001
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.83400 -0.65550 -0.41020 -0.26440 -0.02991 2.62300KALIBRASI MODEL IRT 3 PL
## Warning in tpm(datalc): Hessian matrix at convergence contains infinite or missing values; unstable solution.##
## Call:
## tpm(data = datalc)
##
## Model Summary:
## log.Lik AIC BIC
## -180010.7 360381.5 361584.7
##
## Coefficients:
## value std.err z.vals
## Gussng.skor01 0.2942 NaN NaN
## Gussng.skor02 0.3379 NaN NaN
## Gussng.skor03 0.2518 NaN NaN
## Gussng.skor04 0.1106 NaN NaN
## Gussng.skor05 0.3297 NaN NaN
## Gussng.skor06 0.0685 NaN NaN
## Gussng.skor07 0.0221 NaN NaN
## Gussng.skor08 0.0268 NaN NaN
## Gussng.skor09 0.2397 NaN NaN
## Gussng.skor10 0.0391 NaN NaN
## Gussng.skor11 0.2972 NaN NaN
## Gussng.skor12 0.1503 NaN NaN
## Gussng.skor13 0.3243 NaN NaN
## Gussng.skor14 0.0248 NaN NaN
## Gussng.skor15 0.0302 NaN NaN
## Gussng.skor16 0.2916 NaN NaN
## Gussng.skor17 0.0280 NaN NaN
## Gussng.skor18 0.0327 NaN NaN
## Gussng.skor19 0.0146 NaN NaN
## Gussng.skor20 0.3213 NaN NaN
## Gussng.skor21 0.3409 NaN NaN
## Gussng.skor22 0.3045 NaN NaN
## Gussng.skor23 0.2565 NaN NaN
## Gussng.skor24 0.0312 NaN NaN
## Gussng.skor25 0.0135 NaN NaN
## Gussng.skor26 0.3252 NaN NaN
## Gussng.skor27 0.3269 NaN NaN
## Gussng.skor28 0.0193 NaN NaN
## Gussng.skor29 0.0373 NaN NaN
## Gussng.skor30 0.1494 NaN NaN
## Gussng.skor31 0.2188 NaN NaN
## Gussng.skor32 0.3131 NaN NaN
## Gussng.skor33 0.2607 NaN NaN
## Gussng.skor34 0.3156 NaN NaN
## Gussng.skor35 0.0556 NaN NaN
## Gussng.skor36 0.0250 NaN NaN
## Gussng.skor37 0.2656 NaN NaN
## Gussng.skor38 0.3080 NaN NaN
## Gussng.skor39 0.0267 NaN NaN
## Gussng.skor40 0.0276 NaN NaN
## Gussng.skor41 0.3055 NaN NaN
## Gussng.skor42 0.3055 NaN NaN
## Gussng.skor43 0.0282 NaN NaN
## Gussng.skor44 0.0725 NaN NaN
## Gussng.skor45 0.3080 NaN NaN
## Gussng.skor46 0.1418 NaN NaN
## Gussng.skor47 0.0249 NaN NaN
## Gussng.skor48 0.2865 NaN NaN
## Gussng.skor49 0.0322 NaN NaN
## Gussng.skor50 0.0322 NaN NaN
## Gussng.skor51 0.3231 NaN NaN
## Gussng.skor52 0.3221 NaN NaN
## Gussng.skor53 0.3383 NaN NaN
## Gussng.skor54 0.0466 NaN NaN
## Gussng.skor55 0.2890 NaN NaN
## Gussng.skor56 0.0249 NaN NaN
## Gussng.skor57 0.3149 NaN NaN
## Gussng.skor58 0.0384 NaN NaN
## Gussng.skor59 0.2529 NaN NaN
## Gussng.skor60 0.3310 NaN NaN
## Dffclt.skor01 0.8108 NaN NaN
## Dffclt.skor02 0.7953 NaN NaN
## Dffclt.skor03 0.7684 NaN NaN
## Dffclt.skor04 -0.9069 NaN NaN
## Dffclt.skor05 0.7804 NaN NaN
## Dffclt.skor06 -0.7403 NaN NaN
## Dffclt.skor07 -0.9697 NaN NaN
## Dffclt.skor08 -0.8994 NaN NaN
## Dffclt.skor09 0.7418 NaN NaN
## Dffclt.skor10 -0.8742 NaN NaN
## Dffclt.skor11 0.7873 NaN NaN
## Dffclt.skor12 -1.3293 NaN NaN
## Dffclt.skor13 0.8396 NaN NaN
## Dffclt.skor14 -1.0137 NaN NaN
## Dffclt.skor15 -0.8846 NaN NaN
## Dffclt.skor16 0.8348 NaN NaN
## Dffclt.skor17 -0.6734 NaN NaN
## Dffclt.skor18 -0.8655 NaN NaN
## Dffclt.skor19 -0.9786 NaN NaN
## Dffclt.skor20 0.7856 NaN NaN
## Dffclt.skor21 0.7654 NaN NaN
## Dffclt.skor22 0.8170 NaN NaN
## Dffclt.skor23 0.7669 NaN NaN
## Dffclt.skor24 -0.8859 NaN NaN
## Dffclt.skor25 -1.0887 NaN NaN
## Dffclt.skor26 0.7910 NaN NaN
## Dffclt.skor27 0.7927 NaN NaN
## Dffclt.skor28 -1.0101 NaN NaN
## Dffclt.skor29 -0.9082 NaN NaN
## Dffclt.skor30 -1.3248 NaN NaN
## Dffclt.skor31 0.7876 NaN NaN
## Dffclt.skor32 0.7837 NaN NaN
## Dffclt.skor33 0.7841 NaN NaN
## Dffclt.skor34 0.8112 NaN NaN
## Dffclt.skor35 -0.7650 NaN NaN
## Dffclt.skor36 -0.9264 NaN NaN
## Dffclt.skor37 0.7542 NaN NaN
## Dffclt.skor38 0.7543 NaN NaN
## Dffclt.skor39 -0.8838 NaN NaN
## Dffclt.skor40 -0.7747 NaN NaN
## Dffclt.skor41 0.8143 NaN NaN
## Dffclt.skor42 0.8151 NaN NaN
## Dffclt.skor43 -1.0111 NaN NaN
## Dffclt.skor44 -0.7225 NaN NaN
## Dffclt.skor45 0.8088 NaN NaN
## Dffclt.skor46 -1.2876 NaN NaN
## Dffclt.skor47 -0.9875 NaN NaN
## Dffclt.skor48 0.8626 NaN NaN
## Dffclt.skor49 -0.9042 NaN NaN
## Dffclt.skor50 -0.7167 NaN NaN
## Dffclt.skor51 0.8798 NaN NaN
## Dffclt.skor52 0.7876 NaN NaN
## Dffclt.skor53 0.7702 NaN NaN
## Dffclt.skor54 -0.6992 NaN NaN
## Dffclt.skor55 0.8441 NaN NaN
## Dffclt.skor56 -0.8668 NaN NaN
## Dffclt.skor57 0.8049 NaN NaN
## Dffclt.skor58 -0.9463 NaN NaN
## Dffclt.skor59 0.7388 NaN NaN
## Dffclt.skor60 0.8397 NaN NaN
## Dscrmn.skor01 5.8750 NaN NaN
## Dscrmn.skor02 5.5448 NaN NaN
## Dscrmn.skor03 6.0283 NaN NaN
## Dscrmn.skor04 -11.2288 NaN NaN
## Dscrmn.skor05 5.1087 NaN NaN
## Dscrmn.skor06 -11.1309 NaN NaN
## Dscrmn.skor07 -3.5980 NaN NaN
## Dscrmn.skor08 -2.5691 NaN NaN
## Dscrmn.skor09 5.8679 NaN NaN
## Dscrmn.skor10 -3.1961 NaN NaN
## Dscrmn.skor11 10.0490 NaN NaN
## Dscrmn.skor12 -12.7981 NaN NaN
## Dscrmn.skor13 5.1927 NaN NaN
## Dscrmn.skor14 -2.4486 NaN NaN
## Dscrmn.skor15 -3.6354 NaN NaN
## Dscrmn.skor16 5.2829 NaN NaN
## Dscrmn.skor17 -2.4635 NaN NaN
## Dscrmn.skor18 -2.6343 NaN NaN
## Dscrmn.skor19 -2.6150 NaN NaN
## Dscrmn.skor20 5.5482 NaN NaN
## Dscrmn.skor21 5.4762 NaN NaN
## Dscrmn.skor22 5.7491 NaN NaN
## Dscrmn.skor23 6.3097 NaN NaN
## Dscrmn.skor24 -3.6977 NaN NaN
## Dscrmn.skor25 -2.1863 NaN NaN
## Dscrmn.skor26 5.2427 NaN NaN
## Dscrmn.skor27 5.7530 NaN NaN
## Dscrmn.skor28 -3.1141 NaN NaN
## Dscrmn.skor29 -3.1708 NaN NaN
## Dscrmn.skor30 -13.3531 NaN NaN
## Dscrmn.skor31 4.3548 NaN NaN
## Dscrmn.skor32 5.4654 NaN NaN
## Dscrmn.skor33 6.0031 NaN NaN
## Dscrmn.skor34 5.0829 NaN NaN
## Dscrmn.skor35 -10.5681 NaN NaN
## Dscrmn.skor36 -2.7784 NaN NaN
## Dscrmn.skor37 6.3306 NaN NaN
## Dscrmn.skor38 5.8317 NaN NaN
## Dscrmn.skor39 -3.9533 NaN NaN
## Dscrmn.skor40 -2.9064 NaN NaN
## Dscrmn.skor41 5.6508 NaN NaN
## Dscrmn.skor42 4.8212 NaN NaN
## Dscrmn.skor43 -2.6041 NaN NaN
## Dscrmn.skor44 -20.9051 NaN NaN
## Dscrmn.skor45 6.4464 NaN NaN
## Dscrmn.skor46 -13.8413 NaN NaN
## Dscrmn.skor47 -2.5850 NaN NaN
## Dscrmn.skor48 4.6038 NaN NaN
## Dscrmn.skor49 -2.4609 NaN NaN
## Dscrmn.skor50 -28.0354 NaN NaN
## Dscrmn.skor51 4.8730 NaN NaN
## Dscrmn.skor52 6.0820 NaN NaN
## Dscrmn.skor53 5.2073 NaN NaN
## Dscrmn.skor54 -44.4523 NaN NaN
## Dscrmn.skor55 5.9961 NaN NaN
## Dscrmn.skor56 -6.6446 NaN NaN
## Dscrmn.skor57 5.6383 NaN NaN
## Dscrmn.skor58 -2.7694 NaN NaN
## Dscrmn.skor59 6.5363 NaN NaN
## Dscrmn.skor60 5.0181 NaN NaN
##
## Integration:
## method: Gauss-Hermite
## quadrature points: 21
##
## Optimization:
## Optimizer: optim (BFGS)
## Convergence: 0
## max(|grad|): 480
##
## Call:
## tpm(data = datalc)
##
## Total Information = 273.6
## Information in (-10, 10) = 273.6 (100%)
## Based on all the items##
## Call:
## tpm(data = datalc)
##
## Total Information = 273.6
## Information in (0, 10) = 87.79 (32.09%)
## 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 503.7502 <0.0001
## skor02 488.7989 <0.0001
## skor03 777.0441 <0.0001
## skor04 423.7448 <0.0001
## skor05 310.9954 <0.0001
## skor06 165.1386 <0.0001
## skor07 70.9536 <0.0001
## skor08 46.4480 <0.0001
## skor09 599.6768 <0.0001
## skor10 61.1613 <0.0001
## skor11 5379.6872 <0.0001
## skor12 722.6072 <0.0001
## skor13 286.3549 <0.0001
## skor14 134.7399 <0.0001
## skor15 70.0013 <0.0001
## skor16 377.8430 <0.0001
## skor17 308.1435 <0.0001
## skor18 57.8099 <0.0001
## skor19 79.8414 <0.0001
## skor20 353.1231 <0.0001
## skor21 448.6524 <0.0001
## skor22 400.1658 <0.0001
## skor23 791.1761 <0.0001
## skor24 77.8182 <0.0001
## skor25 131.4878 <0.0001
## skor26 310.9558 <0.0001
## skor27 436.1941 <0.0001
## skor28 65.7549 <0.0001
## skor29 93.9767 <0.0001
## skor30 709.9094 <0.0001
## skor31 231.7438 <0.0001
## skor32 389.5247 <0.0001
## skor33 572.2338 <0.0001
## skor34 329.9797 <0.0001
## skor35 139.1533 <0.0001
## skor36 73.2637 <0.0001
## skor37 815.1629 <0.0001
## skor38 573.9752 <0.0001
## skor39 71.2907 <0.0001
## skor40 57.7216 <0.0001
## skor41 420.4224 <0.0001
## skor42 285.9966 <0.0001
## skor43 93.9787 <0.0001
## skor44 207.9180 <0.0001
## skor45 602.1269 <0.0001
## skor46 791.5443 <0.0001
## skor47 85.2650 <0.0001
## skor48 259.3554 <0.0001
## skor49 83.3943 <0.0001
## skor50 205.6841 <0.0001
## skor51 275.6238 <0.0001
## skor52 544.4667 <0.0001
## skor53 366.4451 <0.0001
## skor54 576.5858 <0.0001
## skor55 372.3033 <0.0001
## skor56 65.2037 <0.0001
## skor57 422.9980 <0.0001
## skor58 93.9616 <0.0001
## skor59 944.9523 <0.0001
## skor60 279.2735 <0.0001
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.0560 -0.6665 -0.3565 -0.1812 0.2160 1.5880PERBANDINGAN 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 = 45.11
## Information in (-10, 10) = 45.11 (100%)
## Based on all the items##
## Call:
## ltm(formula = datalc ~ z1)
##
## Total Information = 94.73
## Information in (-10, 10) = 94.73 (100%)
## Based on all the items##
## Call:
## tpm(data = datalc)
##
## Total Information = 273.6
## Information in (-10, 10) = 273.6 (100%)
## Based on all the itemsANOVA KEEMPAT MODEL
##
## Likelihood Ratio Table
## AIC BIC log.Lik LRT df p.value
## lcrasch 387815.0 388216.1 -193847.5
## lcIRT.1pl 387079.3 387487.1 -193478.7 737.69 1 <0.001##
## Likelihood Ratio Table
## AIC BIC log.Lik LRT df p.value
## lcIRT.1pl 387079.3 387487.1 -193478.7
## lcIRT.2pl 366831.7 367633.8 -183295.8 20365.63 59 <0.001##
## Likelihood Ratio Table
## AIC BIC log.Lik LRT df p.value
## lcIRT.2pl 366831.7 367633.8 -183295.8
## lcIRT.3pl 360381.5 361584.7 -180010.7 6570.2 60 <0.001