Kalibrasi Test Kemampuan Working Memory
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 1 0 1 1 0 0 1 0 0
## 2 0 1 0 1 1 0 1 1 0 0
## 3 0 0 0 0 0 0 1 0 0 1
## 4 0 0 0 0 1 0 0 0 0 1
## 5 1 0 1 1 1 0 1 1 0 0
## 6 0 0 0 0 0 0 1 0 1 0
## skor11 skor12 skor13 skor14 skor15 skor16 skor17 skor18 skor19 skor20
## 1 0 0 1 1 1 0 0 0 0 0
## 2 1 0 0 1 0 1 1 0 0 0
## 3 1 0 0 0 1 1 0 0 0 1
## 4 1 0 0 1 1 1 1 1 0 0
## 5 1 0 1 1 0 1 0 0 0 0
## 6 1 0 0 0 1 1 0 0 0 1
## skor21 skor22 skor23 skor24 skor25 skor26 skor27 skor28 skor29 skor30
## 1 0 0 0 0 0 0 0 0 1 1
## 2 1 0 1 0 1 0 0 0 1 0
## 3 0 0 1 1 0 1 0 0 0 0
## 4 0 0 0 0 0 0 0 1 0 0
## 5 1 0 0 0 0 1 1 0 1 0
## 6 1 0 0 1 0 1 0 0 0 1
## skor31 skor32 skor33 skor34 skor35 skor36 skor37 skor38 skor39 skor40
## 1 0 0 0 0 0 1 0 0 1 0
## 2 0 0 1 0 0 0 0 1 0 1
## 3 0 0 0 0 0 1 0 1 0 0
## 4 0 0 0 0 0 1 0 0 0 0
## 5 0 0 1 0 0 0 0 0 1 0
## 6 0 0 0 0 0 0 0 1 0 0
## skor41 skor42 skor43 skor44 skor45 skor46 skor47 skor48 skor49 skor50
## 1 1 0 1 0 0 0 1 0 0 0
## 2 0 0 0 1 1 1 0 0 1 0
## 3 0 0 0 0 1 0 1 0 1 0
## 4 1 0 1 0 0 0 0 0 1 0
## 5 0 0 0 0 0 0 1 1 1 0
## 6 1 0 1 0 0 0 1 0 0 0
## skor51 skor52 skor53 skor54 skor55 skor56 skor57 skor58 skor59 skor60
## 1 0 0 0 0 1 0 0 0 0 0
## 2 0 0 0 1 0 1 0 1 1 0
## 3 0 0 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 1 0 0 0 1
## 5 1 1 0 0 0 0 1 0 0 1
## 6 0 1 1 0 0 0 1 0 1 0
## skor61 skor62 skor63 skor64 skor65 skor66 skor67 skor68 skor69 skor70
## 1 0 0 0 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0 0 0 0
## 3 0 0 0 0 0 0 0 0 0 0
## 4 1 1 0 1 0 1 1 0 0 1
## 5 1 1 0 1 0 1 1 0 0 1
## 6 0 0 0 0 0 0 0 0 0 0
## skor71 skor72
## 1 0 0
## 2 0 0
## 3 0 0
## 4 0 1
## 5 0 1
## 6 0 0ANALISA CTT
## Sample.SD Item.total Item.Tot.woi Difficulty Discrimination
## skor01 0.4650049 0.28158881 0.23153967 0.31504065 0.31097561
## skor02 0.4718843 0.27115027 0.22007151 0.33333333 0.31097561
## skor03 0.4810071 0.24309874 0.19032722 0.36178862 0.27439024
## skor04 0.4696817 0.26461858 0.21361839 0.32723577 0.26829268
## skor05 0.4773269 0.28576717 0.23447873 0.34959350 0.31707317
## skor06 0.4641896 0.16112664 0.10878803 0.31300813 0.15853659
## skor07 0.4725987 0.17748957 0.12442478 0.33536585 0.16463415
## skor08 0.4673890 0.27652508 0.22608074 0.32113821 0.27439024
## skor09 0.4696817 0.25122078 0.19989838 0.32723577 0.25000000
## skor10 0.4581893 0.23884419 0.18852544 0.29878049 0.21951220
## skor11 0.4545246 0.21429386 0.16389384 0.29065041 0.17682927
## skor12 0.4572894 0.23630282 0.18603044 0.29674797 0.25000000
## skor13 0.4883014 0.25842520 0.20520710 0.39024390 0.25000000
## skor14 0.4641896 0.22740195 0.17617256 0.31300813 0.26219512
## skor15 0.4853934 0.27080026 0.21822072 0.37804878 0.29878049
## skor16 0.4696817 0.22343276 0.17150682 0.32723577 0.26829268
## skor17 0.4658098 0.19499808 0.14298252 0.31707317 0.17073171
## skor18 0.4753586 0.26502200 0.21340374 0.34349593 0.28048780
## skor19 0.4753586 0.27139575 0.21993988 0.34349593 0.27439024
## skor20 0.4878391 0.24199267 0.18843292 0.38821138 0.29268293
## skor21 0.4753586 0.21746399 0.16478124 0.34349593 0.22560976
## skor22 0.4650049 0.25251890 0.20174659 0.31504065 0.23780488
## skor23 0.4832738 0.16799656 0.11357863 0.36991870 0.16463415
## skor24 0.4681633 0.25262445 0.20150361 0.32317073 0.28048780
## skor25 0.4843519 0.22575802 0.17223281 0.37398374 0.24390244
## skor26 0.4804173 0.24926311 0.19670011 0.35975610 0.26219512
## skor27 0.4739981 0.21719469 0.16465970 0.33943089 0.27439024
## skor28 0.4666045 0.19961516 0.14758882 0.31910569 0.21951220
## skor29 0.4746832 0.28410145 0.23305741 0.34146341 0.32317073
## skor30 0.4696817 0.27206180 0.22124944 0.32723577 0.25609756
## skor31 0.4773269 0.25842422 0.20642438 0.34959350 0.27439024
## skor32 0.2357579 0.05076061 0.02380587 0.05894309 0.02439024
## skor33 0.4739981 0.37060383 0.32242653 0.33943089 0.37804878
## skor34 0.4711600 0.19296175 0.14030653 0.33130081 0.20121951
## skor35 0.4815877 0.15952253 0.10518031 0.36382114 0.17682927
## skor36 0.4673890 0.25608048 0.20512707 0.32113821 0.23170732
## skor37 0.2468486 -0.04336198 -0.07149382 0.06504065 -0.02439024
## skor38 0.4718843 0.29732689 0.24695902 0.33333333 0.33536585
## skor39 0.4792094 0.20718164 0.15386818 0.35569106 0.21951220
## skor40 0.4753586 0.17431858 0.12089284 0.34349593 0.14634146
## skor41 0.4696817 0.26759587 0.21667005 0.32723577 0.27439024
## skor42 0.4711600 0.29782919 0.24755470 0.33130081 0.33536585
## skor43 0.4779639 0.23024108 0.17752693 0.35162602 0.23780488
## skor44 0.4798180 0.21076028 0.15744555 0.35772358 0.23170732
## skor45 0.4746832 0.31306965 0.26286443 0.34146341 0.30487805
## skor46 0.4821590 0.24968019 0.19693304 0.36585366 0.28048780
## skor47 0.4696817 0.22343276 0.17150682 0.32723577 0.25609756
## skor48 0.4779639 0.25267143 0.20046209 0.35162602 0.27439024
## skor49 0.4733033 0.18702867 0.13403293 0.33739837 0.17682927
## skor50 0.4633640 0.24596044 0.19522087 0.31097561 0.25609756
## skor51 0.4608243 0.20699455 0.15575131 0.30487805 0.21951220
## skor52 0.4843519 0.14491890 0.09007972 0.37398374 0.18902439
## skor53 0.4725987 0.22631161 0.17411694 0.33536585 0.25609756
## skor54 0.4739981 0.17589223 0.12264449 0.33943089 0.19512195
## skor55 0.4773269 0.27404876 0.22244483 0.34959350 0.27439024
## skor56 0.4718843 0.24250416 0.19073729 0.33333333 0.26219512
## skor57 0.4760243 0.26166897 0.20989339 0.34552846 0.30487805
## skor58 0.4760243 0.32629657 0.27636270 0.34552846 0.33536585
## skor59 0.4696817 0.26561101 0.21463550 0.32723577 0.28658537
## skor60 0.4616814 0.57002976 0.53272395 0.30691057 0.58536585
## skor61 0.4616814 0.57002976 0.53272395 0.30691057 0.58536585
## skor62 0.4616814 0.57002976 0.53272395 0.30691057 0.58536585
## skor63 0.2113134 0.13775137 0.11391663 0.04674797 0.04878049
## skor64 0.4616814 0.57002976 0.53272395 0.30691057 0.58536585
## skor65 0.2113134 0.13775137 0.11391663 0.04674797 0.04878049
## skor66 0.4616814 0.57002976 0.53272395 0.30691057 0.58536585
## skor67 0.4616814 0.57002976 0.53272395 0.30691057 0.58536585
## skor68 0.2113134 0.13775137 0.11391663 0.04674797 0.04878049
## skor69 0.2113134 0.13775137 0.11391663 0.04674797 0.04878049
## skor70 0.4616814 0.57002976 0.53272395 0.30691057 0.58536585
## skor71 0.2113134 0.13775137 0.11391663 0.04674797 0.04878049
## skor72 0.4616814 0.57002976 0.53272395 0.30691057 0.58536585
## Item.Criterion Item.Reliab Item.Rel.woi Item.Validity
## skor01 NA 0.13080703 0.107557601 NA
## skor02 NA 0.12782146 0.103742706 NA
## skor03 NA 0.11681334 0.091455667 NA
## skor04 NA 0.12416013 0.100230633 NA
## skor05 NA 0.13626566 0.111809207 NA
## skor06 NA 0.07471726 0.050446929 NA
## skor07 NA 0.08379606 0.058743205 NA
## skor08 NA 0.12911336 0.105560207 NA
## skor09 NA 0.11787383 0.093793145 NA
## skor10 NA 0.10932457 0.086292507 NA
## skor11 NA 0.09730280 0.074418047 NA
## skor12 NA 0.10794891 0.084983260 NA
## skor13 NA 0.12606107 0.100101023 NA
## skor14 NA 0.10545029 0.081694322 NA
## skor15 NA 0.13131101 0.105815204 NA
## skor16 NA 0.10483558 0.080471708 NA
## skor17 NA 0.09073967 0.066534942 NA
## skor18 NA 0.12585238 0.101340148 NA
## skor19 NA 0.12887912 0.104443999 NA
## skor20 NA 0.11793346 0.091831487 NA
## skor21 NA 0.10326826 0.078250527 NA
## skor22 NA 0.11730312 0.093717760 NA
## skor23 NA 0.08110578 0.054833767 NA
## skor24 NA 0.11814925 0.094240678 NA
## skor25 NA 0.10923514 0.083336463 NA
## skor26 NA 0.11962854 0.094402049 NA
## skor27 NA 0.10284520 0.077969030 NA
## skor28 NA 0.09304663 0.068795589 NA
## skor29 NA 0.13472106 0.110515950 NA
## skor30 NA 0.12765252 0.103811151 NA
## skor31 NA 0.12322741 0.098431726 NA
## skor32 NA 0.01195505 0.005606714 NA
## skor33 NA 0.17548690 0.152674176 NA
## skor34 NA 0.09082343 0.066039616 NA
## skor35 NA 0.07674597 0.050602041 NA
## skor36 NA 0.11956750 0.095776654 NA
## skor37 NA -0.01069296 -0.017630204 NA
## skor38 NA 0.14016124 0.116417599 NA
## skor39 NA 0.09918245 0.073660113 NA
## skor40 NA 0.08277957 0.057409013 NA
## skor41 NA 0.12555709 0.101662485 NA
## skor42 NA 0.14018254 0.116519289 NA
## skor43 NA 0.10993503 0.084765190 NA
## skor44 NA 0.10102376 0.075468404 NA
## skor45 NA 0.14845780 0.124650456 NA
## skor46 NA 0.12026314 0.094856488 NA
## skor47 NA 0.10483558 0.080471708 NA
## skor48 NA 0.12064503 0.095716222 NA
## skor49 NA 0.08843128 0.063373728 NA
## skor50 NA 0.11385332 0.090366344 NA
## skor51 NA 0.09529113 0.071701014 NA
## skor52 NA 0.07012037 0.043585919 NA
## skor53 NA 0.10684583 0.082203776 NA
## skor54 NA 0.08328782 0.058074149 NA
## skor55 NA 0.13067784 0.106070942 NA
## skor56 NA 0.11431756 0.089914423 NA
## skor57 NA 0.12443413 0.099812757 NA
## skor58 NA 0.15516716 0.131421592 NA
## skor59 NA 0.12462578 0.100707864 NA
## skor60 NA 0.26290454 0.245698656 NA
## skor61 NA 0.26290454 0.245698656 NA
## skor62 NA 0.26290454 0.245698656 NA
## skor63 NA 0.02907911 0.024047635 NA
## skor64 NA 0.26290454 0.245698656 NA
## skor65 NA 0.02907911 0.024047635 NA
## skor66 NA 0.26290454 0.245698656 NA
## skor67 NA 0.26290454 0.245698656 NA
## skor68 NA 0.02907911 0.024047635 NA
## skor69 NA 0.02907911 0.024047635 NA
## skor70 NA 0.26290454 0.245698656 NA
## skor71 NA 0.02907911 0.024047635 NA
## skor72 NA 0.26290454 0.245698656 NA## LCL ALPHA UCL
## 1 0.7938035 0.8175182 0.8397646KALIBRASI 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
## 0.822 0.731 0.595 0.761 0.653
## Dffclt.skor06 Dffclt.skor07 Dffclt.skor08 Dffclt.skor09 Dffclt.skor10
## 0.832 0.721 0.791 0.761 0.905
## Dffclt.skor11 Dffclt.skor12 Dffclt.skor13 Dffclt.skor14 Dffclt.skor15
## 0.947 0.915 0.462 0.832 0.518
## Dffclt.skor16 Dffclt.skor17 Dffclt.skor18 Dffclt.skor19 Dffclt.skor20
## 0.761 0.812 0.682 0.682 0.472
## Dffclt.skor21 Dffclt.skor22 Dffclt.skor23 Dffclt.skor24 Dffclt.skor25
## 0.682 0.822 0.556 0.781 0.537
## Dffclt.skor26 Dffclt.skor27 Dffclt.skor28 Dffclt.skor29 Dffclt.skor30
## 0.604 0.701 0.802 0.692 0.761
## Dffclt.skor31 Dffclt.skor32 Dffclt.skor33 Dffclt.skor34 Dffclt.skor35
## 0.653 2.920 0.702 0.741 0.585
## Dffclt.skor36 Dffclt.skor37 Dffclt.skor38 Dffclt.skor39 Dffclt.skor40
## 0.791 2.812 0.731 0.624 0.682
## Dffclt.skor41 Dffclt.skor42 Dffclt.skor43 Dffclt.skor44 Dffclt.skor45
## 0.761 0.741 0.643 0.614 0.692
## Dffclt.skor46 Dffclt.skor47 Dffclt.skor48 Dffclt.skor49 Dffclt.skor50
## 0.576 0.761 0.643 0.711 0.842
## Dffclt.skor51 Dffclt.skor52 Dffclt.skor53 Dffclt.skor54 Dffclt.skor55
## 0.873 0.537 0.721 0.701 0.653
## Dffclt.skor56 Dffclt.skor57 Dffclt.skor58 Dffclt.skor59 Dffclt.skor60
## 0.731 0.672 0.672 0.761 0.863
## Dffclt.skor61 Dffclt.skor62 Dffclt.skor63 Dffclt.skor64 Dffclt.skor65
## 0.863 0.863 3.170 0.863 3.170
## Dffclt.skor66 Dffclt.skor67 Dffclt.skor68 Dffclt.skor69 Dffclt.skor70
## 0.863 0.863 3.170 3.170 0.863
## Dffclt.skor71 Dffclt.skor72 Dscrmn
## 3.170 0.863 1.000
##
## Log.Lik: -20482.58
##
## Call:
## rasch(data = datalc, constraint = cbind(ncol(datalc) + 1, 1))
##
## Total Information = 71.99
## Information in (-10, 10) = 71.99 (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 6.3455 0.7049
## skor02 13.0895 0.1586
## skor03 15.7502 0.0723
## skor04 8.8672 0.4496
## skor05 17.3207 0.0439
## skor06 13.1308 0.1568
## skor07 9.4751 0.3946
## skor08 5.5577 0.7832
## skor09 5.0678 0.8284
## skor10 7.4045 0.5951
## skor11 14.3216 0.1113
## skor12 8.5152 0.4832
## skor13 8.0717 0.5269
## skor14 13.8068 0.1294
## skor15 3.1210 0.9593
## skor16 10.3472 0.3231
## skor17 18.2632 0.0322
## skor18 17.8062 0.0375
## skor19 6.5563 0.6832
## skor20 3.8197 0.9229
## skor21 14.2465 0.1138
## skor22 18.5624 0.0292
## skor23 16.4638 0.0578
## skor24 6.6130 0.6773
## skor25 8.8206 0.454
## skor26 12.5639 0.1834
## skor27 14.1394 0.1175
## skor28 12.6741 0.1779
## skor29 7.9698 0.5372
## skor30 17.9808 0.0354
## skor31 9.4743 0.3947
## skor32 22.1281 0.0085
## skor33 13.0635 0.1598
## skor34 6.1247 0.7274
## skor35 12.3318 0.1952
## skor36 10.2424 0.3312
## skor37 62.2313 <0.0001
## skor38 3.2513 0.9535
## skor39 6.9149 0.646
## skor40 10.6390 0.3013
## skor41 8.5354 0.4812
## skor42 5.1351 0.8224
## skor43 5.4148 0.7968
## skor44 9.2091 0.4182
## skor45 12.4167 0.1908
## skor46 3.2736 0.9525
## skor47 6.0658 0.7333
## skor48 8.5436 0.4804
## skor49 13.4101 0.1449
## skor50 8.6262 0.4725
## skor51 5.8867 0.7512
## skor52 19.5661 0.0208
## skor53 9.6715 0.3777
## skor54 8.4539 0.4891
## skor55 7.4977 0.5854
## skor56 8.5699 0.4779
## skor57 11.4276 0.2475
## skor58 6.8058 0.6573
## skor59 4.1448 0.9016
## skor60 68.6893 <0.0001
## skor61 68.6893 <0.0001
## skor62 68.6893 <0.0001
## skor63 11.0833 0.27
## skor64 68.6893 <0.0001
## skor65 11.0833 0.27
## skor66 68.6893 <0.0001
## skor67 68.6893 <0.0001
## skor68 11.0833 0.27
## skor69 11.0833 0.27
## skor70 68.6893 <0.0001
## skor71 11.0833 0.27
## skor72 68.6893 <0.0001## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.01100 -0.38070 -0.03284 -0.01774 0.39500 1.61900## [1] 0.586485
KALIBRASI MODEL IRT 1 PL
##
## Call:
## rasch(data = datalc)
##
## Model Summary:
## log.Lik AIC BIC
## -20392.04 40930.07 41236.56
##
## Coefficients:
## value std.err z.vals
## Dffclt.skor01 1.4735 0.1915 7.6936
## Dffclt.skor02 1.3163 0.1875 7.0185
## Dffclt.skor03 1.0788 0.1823 5.9169
## Dffclt.skor04 1.3682 0.1888 7.2462
## Dffclt.skor05 1.1789 0.1844 6.3929
## Dffclt.skor06 1.4932 0.1921 7.7748
## Dffclt.skor07 1.2982 0.1871 6.9380
## Dffclt.skor08 1.4204 0.1901 7.4706
## Dffclt.skor09 1.3682 0.1888 7.2461
## Dffclt.skor10 1.6183 0.1956 8.2750
## Dffclt.skor11 1.6885 0.1976 8.5433
## Dffclt.skor12 1.6361 0.1961 8.3439
## Dffclt.skor13 0.8504 0.1783 4.7706
## Dffclt.skor14 1.4922 0.1920 7.7708
## Dffclt.skor15 0.9460 0.1798 5.2603
## Dffclt.skor16 1.3680 0.1888 7.2456
## Dffclt.skor17 1.4571 0.1911 7.6251
## Dffclt.skor18 1.2301 0.1855 6.6299
## Dffclt.skor19 1.2302 0.1855 6.6301
## Dffclt.skor20 0.8662 0.1785 4.8526
## Dffclt.skor21 1.2303 0.1855 6.6305
## Dffclt.skor22 1.4741 0.1915 7.6958
## Dffclt.skor23 1.0120 0.1810 5.5901
## Dffclt.skor24 1.4032 0.1897 7.3971
## Dffclt.skor25 0.9793 0.1804 5.4275
## Dffclt.skor26 1.0954 0.1827 5.9968
## Dffclt.skor27 1.2641 0.1863 6.7848
## Dffclt.skor28 1.4392 0.1906 7.5498
## Dffclt.skor29 1.2475 0.1859 6.7092
## Dffclt.skor30 1.3682 0.1888 7.2462
## Dffclt.skor31 1.1791 0.1844 6.3936
## Dffclt.skor32 5.1434 0.3990 12.8916
## Dffclt.skor33 1.2664 0.1864 6.7952
## Dffclt.skor34 1.3326 0.1879 7.0908
## Dffclt.skor35 1.0622 0.1820 5.8359
## Dffclt.skor36 1.4207 0.1901 7.4719
## Dffclt.skor37 4.9534 0.3822 12.9600
## Dffclt.skor38 1.3166 0.1876 7.0198
## Dffclt.skor39 1.1297 0.1834 6.1607
## Dffclt.skor40 1.2312 0.1856 6.6350
## Dffclt.skor41 1.3682 0.1888 7.2462
## Dffclt.skor42 1.3337 0.1880 7.0957
## Dffclt.skor43 1.1627 0.1841 6.3169
## Dffclt.skor44 1.1128 0.1830 6.0801
## Dffclt.skor45 1.2479 0.1859 6.7114
## Dffclt.skor46 1.0455 0.1817 5.7549
## Dffclt.skor47 1.3681 0.1888 7.2457
## Dffclt.skor48 1.1622 0.1841 6.3147
## Dffclt.skor49 1.2812 0.1867 6.8619
## Dffclt.skor50 1.5101 0.1925 7.8439
## Dffclt.skor51 1.5621 0.1940 8.0541
## Dffclt.skor52 0.9790 0.1804 5.4258
## Dffclt.skor53 1.2984 0.1871 6.9390
## Dffclt.skor54 1.2646 0.1863 6.7868
## Dffclt.skor55 1.1789 0.1844 6.3930
## Dffclt.skor56 1.3159 0.1875 7.0169
## Dffclt.skor57 1.2130 0.1852 6.5512
## Dffclt.skor58 1.2137 0.1852 6.5544
## Dffclt.skor59 1.3682 0.1888 7.2462
## Dffclt.skor60 1.5450 0.1935 7.9854
## Dffclt.skor61 1.5450 0.1935 7.9854
## Dffclt.skor62 1.5450 0.1935 7.9854
## Dffclt.skor63 5.5862 0.4414 12.6549
## Dffclt.skor64 1.5450 0.1935 7.9854
## Dffclt.skor65 5.5862 0.4414 12.6549
## Dffclt.skor66 1.5450 0.1935 7.9854
## Dffclt.skor67 1.5450 0.1935 7.9854
## Dffclt.skor68 5.5862 0.4414 12.6549
## Dffclt.skor69 5.5862 0.4414 12.6549
## Dffclt.skor70 1.5450 0.1935 7.9854
## Dffclt.skor71 5.5862 0.4414 12.6549
## Dffclt.skor72 1.5450 0.1935 7.9854
## Dscrmn 0.5652 0.0228 24.7811
##
## Integration:
## method: Gauss-Hermite
## quadrature points: 21
##
## Optimization:
## Convergence: 0
## max(|grad|): 0.9
## quasi-Newton: BFGS
##
## Call:
## rasch(data = datalc)
##
## Total Information = 40.08
## Information in (-10, 10) = 40.08 (100%)
## Based on all the items##
## Call:
## rasch(data = datalc)
##
## Total Information = 40.08
## Information in (0, 10) = 28.09 (70.08%)
## 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 6.3455 0.7049
## skor02 13.0895 0.1586
## skor03 15.7502 0.0723
## skor04 8.8672 0.4496
## skor05 17.3207 0.0439
## skor06 13.1308 0.1568
## skor07 9.4751 0.3946
## skor08 5.5577 0.7832
## skor09 5.0678 0.8284
## skor10 7.4045 0.5951
## skor11 14.3216 0.1113
## skor12 8.5152 0.4832
## skor13 8.0717 0.5269
## skor14 13.8068 0.1294
## skor15 3.1210 0.9593
## skor16 10.3472 0.3231
## skor17 18.2632 0.0322
## skor18 17.8062 0.0375
## skor19 6.5563 0.6832
## skor20 3.8197 0.9229
## skor21 14.2465 0.1138
## skor22 18.5624 0.0292
## skor23 16.4638 0.0578
## skor24 6.6130 0.6773
## skor25 8.8206 0.454
## skor26 12.5639 0.1834
## skor27 14.1394 0.1175
## skor28 12.6741 0.1779
## skor29 7.9698 0.5372
## skor30 17.9808 0.0354
## skor31 9.4743 0.3947
## skor32 22.1281 0.0085
## skor33 13.0635 0.1598
## skor34 6.1247 0.7274
## skor35 12.3318 0.1952
## skor36 10.2424 0.3312
## skor37 62.2313 <0.0001
## skor38 3.2513 0.9535
## skor39 6.9149 0.646
## skor40 10.6390 0.3013
## skor41 8.5354 0.4812
## skor42 5.1351 0.8224
## skor43 5.4148 0.7968
## skor44 9.2091 0.4182
## skor45 12.4167 0.1908
## skor46 3.2736 0.9525
## skor47 6.0658 0.7333
## skor48 8.5436 0.4804
## skor49 13.4101 0.1449
## skor50 8.6262 0.4725
## skor51 5.8867 0.7512
## skor52 19.5661 0.0208
## skor53 9.6715 0.3777
## skor54 8.4539 0.4891
## skor55 7.4977 0.5854
## skor56 8.5699 0.4779
## skor57 11.4276 0.2475
## skor58 6.8058 0.6573
## skor59 4.1448 0.9016
## skor60 68.6893 <0.0001
## skor61 68.6893 <0.0001
## skor62 68.6893 <0.0001
## skor63 11.0833 0.27
## skor64 68.6893 <0.0001
## skor65 11.0833 0.27
## skor66 68.6893 <0.0001
## skor67 68.6893 <0.0001
## skor68 11.0833 0.27
## skor69 11.0833 0.27
## skor70 68.6893 <0.0001
## skor71 11.0833 0.27
## skor72 68.6893 <0.0001## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.58600 -0.56400 -0.03303 0.01192 0.63960 2.54300KALIBRASI MODEL IRT 2 PL
##
## Call:
## ltm(formula = datalc ~ z1)
##
## Model Summary:
## log.Lik AIC BIC
## -18431.05 37150.09 37754.67
##
## Coefficients:
## value std.err z.vals
## Dffclt.skor01 2.9643 1.3088 2.2649
## Dffclt.skor02 2.4904 1.0511 2.3694
## Dffclt.skor03 6.5317 7.9981 0.8167
## Dffclt.skor04 1.8628 0.5968 3.1212
## Dffclt.skor05 1.5655 0.5120 3.0578
## Dffclt.skor06 5.7786 4.7010 1.2292
## Dffclt.skor07 3.9216 2.5140 1.5599
## Dffclt.skor08 3.9883 2.3815 1.6747
## Dffclt.skor09 2.0753 0.7246 2.8643
## Dffclt.skor10 5.3623 3.7837 1.4172
## Dffclt.skor11 33.1874 135.2134 0.2454
## Dffclt.skor12 5.2261 3.5525 1.4711
## Dffclt.skor13 2.0592 1.1327 1.8180
## Dffclt.skor14 4.2884 2.6228 1.6350
## Dffclt.skor15 1.3200 0.4768 2.7687
## Dffclt.skor16 1.9707 0.6621 2.9764
## Dffclt.skor17 68.6007 655.8022 0.1046
## Dffclt.skor18 1.3587 0.3836 3.5418
## Dffclt.skor19 3.9060 2.6135 1.4945
## Dffclt.skor20 1.6180 0.7330 2.2073
## Dffclt.skor21 4.1105 2.8894 1.4226
## Dffclt.skor22 4.1373 2.4715 1.6740
## Dffclt.skor23 3.8891 3.1130 1.2493
## Dffclt.skor24 4.8165 3.4761 1.3856
## Dffclt.skor25 1.3106 0.4567 2.8693
## Dffclt.skor26 1.7828 0.6876 2.5929
## Dffclt.skor27 2.4352 1.0480 2.3235
## Dffclt.skor28 2.9869 1.3664 2.1859
## Dffclt.skor29 2.4702 1.0867 2.2730
## Dffclt.skor30 3.7994 2.2501 1.6885
## Dffclt.skor31 1.9908 0.7753 2.5679
## Dffclt.skor32 -21.3202 33.6613 -0.6334
## Dffclt.skor33 1.8624 0.6401 2.9097
## Dffclt.skor34 -234.0399 8164.8430 -0.0287
## Dffclt.skor35 8.4242 13.4209 0.6277
## Dffclt.skor36 3.5125 1.8685 1.8799
## Dffclt.skor37 -2.9295 0.4672 -6.2702
## Dffclt.skor38 3.6648 2.1737 1.6860
## Dffclt.skor39 1.7340 0.6359 2.7269
## Dffclt.skor40 3.9545 2.6830 1.4739
## Dffclt.skor41 2.5327 1.0457 2.4220
## Dffclt.skor42 5.1458 4.1284 1.2464
## Dffclt.skor43 3.3060 2.0067 1.6474
## Dffclt.skor44 26.2266 122.0841 0.2148
## Dffclt.skor45 1.3186 0.3614 3.6488
## Dffclt.skor46 1.9085 0.8079 2.3623
## Dffclt.skor47 23.5095 81.2107 0.2895
## Dffclt.skor48 1.6568 0.5692 2.9106
## Dffclt.skor49 4.1774 2.8690 1.4561
## Dffclt.skor50 2.2127 0.7439 2.9744
## Dffclt.skor51 4.5018 2.7730 1.6234
## Dffclt.skor52 3.7458 2.9923 1.2518
## Dffclt.skor53 3.2946 1.7973 1.8331
## Dffclt.skor54 6.1557 6.1603 0.9992
## Dffclt.skor55 3.5111 2.2208 1.5810
## Dffclt.skor56 6.0546 5.7650 1.0502
## Dffclt.skor57 2.5246 1.1626 2.1714
## Dffclt.skor58 3.7953 2.5049 1.5151
## Dffclt.skor59 3.2726 1.6897 1.9368
## Dffclt.skor60 0.3229 100.7965 0.0032
## Dffclt.skor61 0.3229 100.7965 0.0032
## Dffclt.skor62 0.3229 100.7965 0.0032
## Dffclt.skor63 -1.7075 197.8702 -0.0086
## Dffclt.skor64 0.3229 100.7965 0.0032
## Dffclt.skor65 -1.7075 197.8702 -0.0086
## Dffclt.skor66 0.3229 100.7965 0.0032
## Dffclt.skor67 0.3229 100.7965 0.0032
## Dffclt.skor68 -1.7075 197.8702 -0.0086
## Dffclt.skor69 -1.7075 197.8702 -0.0086
## Dffclt.skor70 0.3229 100.7965 0.0032
## Dffclt.skor71 -1.7075 197.8702 -0.0086
## Dffclt.skor72 0.3229 100.7965 0.0032
## Dscrmn.skor01 0.2572 0.1082 2.3762
## Dscrmn.skor02 0.2720 0.1073 2.5351
## Dscrmn.skor03 0.0857 0.1027 0.8345
## Dscrmn.skor04 0.3789 0.1105 3.4285
## Dscrmn.skor05 0.3850 0.1098 3.5077
## Dscrmn.skor06 0.1342 0.1069 1.2554
## Dscrmn.skor07 0.1712 0.1057 1.6192
## Dscrmn.skor08 0.1845 0.1064 1.7331
## Dscrmn.skor09 0.3399 0.1094 3.1069
## Dscrmn.skor10 0.1570 0.1084 1.4479
## Dscrmn.skor11 0.0268 0.1089 0.2462
## Dscrmn.skor12 0.1629 0.1084 1.5037
## Dscrmn.skor13 0.2086 0.1025 2.0341
## Dscrmn.skor14 0.1804 0.1071 1.6853
## Dscrmn.skor15 0.3606 0.1068 3.3775
## Dscrmn.skor16 0.3580 0.1102 3.2480
## Dscrmn.skor17 0.0112 0.1066 0.1048
## Dscrmn.skor18 0.4651 0.1120 4.1534
## Dscrmn.skor19 0.1626 0.1046 1.5542
## Dscrmn.skor20 0.2689 0.1042 2.5802
## Dscrmn.skor21 0.1546 0.1048 1.4751
## Dscrmn.skor22 0.1847 0.1069 1.7281
## Dscrmn.skor23 0.1340 0.1027 1.3047
## Dscrmn.skor24 0.1511 0.1061 1.4243
## Dscrmn.skor25 0.3766 0.1080 3.4869
## Dscrmn.skor26 0.3128 0.1069 2.9253
## Dscrmn.skor27 0.2668 0.1069 2.4953
## Dscrmn.skor28 0.2489 0.1085 2.2935
## Dscrmn.skor29 0.2594 0.1062 2.4414
## Dscrmn.skor30 0.1862 0.1062 1.7534
## Dscrmn.skor31 0.3030 0.1068 2.8362
## Dscrmn.skor32 -0.1309 0.2087 -0.6274
## Dscrmn.skor33 0.3485 0.1079 3.2307
## Dscrmn.skor34 -0.0030 0.1048 -0.0287
## Dscrmn.skor35 0.0656 0.1029 0.6376
## Dscrmn.skor36 0.2092 0.1069 1.9569
## Dscrmn.skor37 -1.1211 0.2416 -4.6405
## Dscrmn.skor38 0.1855 0.1056 1.7559
## Dscrmn.skor39 0.3319 0.1075 3.0873
## Dscrmn.skor40 0.1606 0.1049 1.5314
## Dscrmn.skor41 0.2785 0.1079 2.5810
## Dscrmn.skor42 0.1344 0.1050 1.2799
## Dscrmn.skor43 0.1809 0.1044 1.7324
## Dscrmn.skor44 0.0222 0.1030 0.2157
## Dscrmn.skor45 0.4869 0.1133 4.2969
## Dscrmn.skor46 0.2785 0.1052 2.6475
## Dscrmn.skor47 0.0305 0.1050 0.2908
## Dscrmn.skor48 0.3582 0.1083 3.3075
## Dscrmn.skor49 0.1586 0.1052 1.5076
## Dscrmn.skor50 0.3536 0.1112 3.1792
## Dscrmn.skor51 0.1804 0.1082 1.6678
## Dscrmn.skor52 0.1344 0.1026 1.3108
## Dscrmn.skor53 0.2033 0.1058 1.9221
## Dscrmn.skor54 0.1067 0.1045 1.0212
## Dscrmn.skor55 0.1730 0.1045 1.6558
## Dscrmn.skor56 0.1129 0.1052 1.0732
## Dscrmn.skor57 0.2467 0.1059 2.3301
## Dscrmn.skor58 0.1649 0.1045 1.5787
## Dscrmn.skor59 0.2159 0.1065 2.0278
## Dscrmn.skor60 66.2442 20529.4406 0.0032
## Dscrmn.skor61 66.2442 20529.4406 0.0032
## Dscrmn.skor62 66.2442 20529.4406 0.0032
## Dscrmn.skor63 -67.2563 38502.2797 -0.0017
## Dscrmn.skor64 66.2442 20529.4406 0.0032
## Dscrmn.skor65 -67.2563 38502.2797 -0.0017
## Dscrmn.skor66 66.2442 20529.4406 0.0032
## Dscrmn.skor67 66.2442 20529.4406 0.0032
## Dscrmn.skor68 -67.2563 38502.2797 -0.0017
## Dscrmn.skor69 -67.2563 38502.2797 -0.0017
## Dscrmn.skor70 66.2442 20529.4406 0.0032
## Dscrmn.skor71 -67.2563 38502.2797 -0.0017
## Dscrmn.skor72 66.2442 20529.4406 0.0032
##
## Integration:
## method: Gauss-Hermite
## quadrature points: 21
##
## Optimization:
## Convergence: 0
## max(|grad|): 1.5e-06
## quasi-Newton: BFGS
##
## Call:
## ltm(formula = datalc ~ z1)
##
## Total Information = 877.2
## Information in (-10, 10) = 877.2 (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 18.8516 0.0157
## skor02 13.5627 0.0939
## skor03 17.1809 0.0283
## skor04 18.7088 0.0165
## skor05 29.5706 0.0003
## skor06 4.5111 0.8083
## skor07 18.2642 0.0193
## skor08 12.9404 0.1139
## skor09 22.7757 0.0037
## skor10 18.4959 0.0178
## skor11 24.6031 0.0018
## skor12 16.8862 0.0313
## skor13 16.3123 0.0381
## skor14 10.5500 0.2285
## skor15 22.3191 0.0044
## skor16 27.9619 0.0005
## skor17 14.1823 0.0771
## skor18 27.1747 0.0007
## skor19 19.4985 0.0124
## skor20 24.1573 0.0022
## skor21 26.0793 0.001
## skor22 13.6683 0.0908
## skor23 4.8215 0.7765
## skor24 20.5248 0.0085
## skor25 23.9879 0.0023
## skor26 21.4536 0.006
## skor27 16.1660 0.0401
## skor28 34.6855 <0.0001
## skor29 23.4221 0.0029
## skor30 5.3900 0.7152
## skor31 22.8531 0.0036
## skor32 25.0425 0.0015
## skor33 33.6937 <0.0001
## skor34 16.2655 0.0387
## skor35 9.1691 0.3282
## skor36 34.2601 <0.0001
## skor37 29.8393 0.0002
## skor38 26.0949 0.001
## skor39 13.0596 0.1098
## skor40 10.3529 0.2411
## skor41 20.4546 0.0087
## skor42 21.1220 0.0068
## skor43 10.2847 0.2456
## skor44 17.4610 0.0257
## skor45 33.6806 <0.0001
## skor46 31.7935 0.0001
## skor47 15.4612 0.0508
## skor48 29.8630 0.0002
## skor49 11.9464 0.1536
## skor50 14.0994 0.0792
## skor51 22.2291 0.0045
## skor52 10.0801 0.2594
## skor53 18.7683 0.0161
## skor54 17.1406 0.0287
## skor55 21.1871 0.0067
## skor56 6.1129 0.6346
## skor57 18.2846 0.0192
## skor58 32.7085 0.0001
## skor59 7.1247 0.5232
## skor60 56.9187 <0.0001
## skor61 56.9187 <0.0001
## skor62 56.9187 <0.0001
## skor63 2196.1325 <0.0001
## skor64 56.9187 <0.0001
## skor65 2196.1325 <0.0001
## skor66 56.9187 <0.0001
## skor67 56.9187 <0.0001
## skor68 2196.1325 <0.0001
## skor69 2196.1325 <0.0001
## skor70 56.9187 <0.0001
## skor71 2196.1325 <0.0001
## skor72 56.9187 <0.0001
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.7790 -0.6464 0.1955 -0.0924 0.4097 2.3860KALIBRASI 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
## -18358.72 37149.44 38056.31
##
## Coefficients:
## value std.err z.vals
## Gussng.skor01 0.2634 NaN NaN
## Gussng.skor02 0.2374 NaN NaN
## Gussng.skor03 0.3616 NaN NaN
## Gussng.skor04 0.1588 NaN NaN
## Gussng.skor05 0.0000 NaN NaN
## Gussng.skor06 0.0179 NaN NaN
## Gussng.skor07 0.1383 NaN NaN
## Gussng.skor08 0.2960 NaN NaN
## Gussng.skor09 0.2966 NaN NaN
## Gussng.skor10 0.2840 NaN NaN
## Gussng.skor11 0.2805 NaN NaN
## Gussng.skor12 0.2792 NaN NaN
## Gussng.skor13 0.3598 NaN NaN
## Gussng.skor14 0.3025 NaN NaN
## Gussng.skor15 0.3398 NaN NaN
## Gussng.skor16 0.0000 NaN NaN
## Gussng.skor17 0.3047 NaN NaN
## Gussng.skor18 0.2040 NaN NaN
## Gussng.skor19 0.3294 NaN NaN
## Gussng.skor20 0.0045 NaN NaN
## Gussng.skor21 0.3219 NaN NaN
## Gussng.skor22 0.2821 NaN NaN
## Gussng.skor23 0.3302 NaN NaN
## Gussng.skor24 0.2897 NaN NaN
## Gussng.skor25 0.0015 NaN NaN
## Gussng.skor26 0.3290 NaN NaN
## Gussng.skor27 0.0016 NaN NaN
## Gussng.skor28 0.0066 NaN NaN
## Gussng.skor29 0.3060 NaN NaN
## Gussng.skor30 0.2837 NaN NaN
## Gussng.skor31 0.3074 NaN NaN
## Gussng.skor32 0.0496 NaN NaN
## Gussng.skor33 0.2932 NaN NaN
## Gussng.skor34 0.0009 NaN NaN
## Gussng.skor35 0.1925 NaN NaN
## Gussng.skor36 0.3131 NaN NaN
## Gussng.skor37 0.0284 NaN NaN
## Gussng.skor38 0.3197 NaN NaN
## Gussng.skor39 0.0064 NaN NaN
## Gussng.skor40 0.3308 NaN NaN
## Gussng.skor41 0.2348 NaN NaN
## Gussng.skor42 0.2957 NaN NaN
## Gussng.skor43 0.3222 NaN NaN
## Gussng.skor44 0.3474 NaN NaN
## Gussng.skor45 0.0000 NaN NaN
## Gussng.skor46 0.3169 NaN NaN
## Gussng.skor47 0.3176 NaN NaN
## Gussng.skor48 0.3091 NaN NaN
## Gussng.skor49 0.3252 NaN NaN
## Gussng.skor50 0.1818 NaN NaN
## Gussng.skor51 0.2832 NaN NaN
## Gussng.skor52 0.1464 NaN NaN
## Gussng.skor53 0.0004 NaN NaN
## Gussng.skor54 0.0001 NaN NaN
## Gussng.skor55 0.3249 NaN NaN
## Gussng.skor56 0.3127 NaN NaN
## Gussng.skor57 0.3075 NaN NaN
## Gussng.skor58 0.3191 NaN NaN
## Gussng.skor59 0.2819 NaN NaN
## Gussng.skor60 0.0000 NaN NaN
## Gussng.skor61 0.0000 NaN NaN
## Gussng.skor62 0.0000 NaN NaN
## Gussng.skor63 0.0000 NaN NaN
## Gussng.skor64 0.0000 NaN NaN
## Gussng.skor65 0.0000 NaN NaN
## Gussng.skor66 0.0000 NaN NaN
## Gussng.skor67 0.0000 NaN NaN
## Gussng.skor68 0.0000 NaN NaN
## Gussng.skor69 0.0000 NaN NaN
## Gussng.skor70 0.0000 NaN NaN
## Gussng.skor71 0.0000 NaN NaN
## Gussng.skor72 0.0000 NaN NaN
## Dffclt.skor01 2.4509 NaN NaN
## Dffclt.skor02 2.9020 NaN NaN
## Dffclt.skor03 9.0133 NaN NaN
## Dffclt.skor04 2.7957 NaN NaN
## Dffclt.skor05 2.1460 NaN NaN
## Dffclt.skor06 9.1821 NaN NaN
## Dffclt.skor07 7.2773 NaN NaN
## Dffclt.skor08 2.1128 NaN NaN
## Dffclt.skor09 2.1917 NaN NaN
## Dffclt.skor10 2.0956 NaN NaN
## Dffclt.skor11 -2.5359 NaN NaN
## Dffclt.skor12 2.0501 NaN NaN
## Dffclt.skor13 2.0046 NaN NaN
## Dffclt.skor14 2.1929 NaN NaN
## Dffclt.skor15 2.0110 NaN NaN
## Dffclt.skor16 2.4758 NaN NaN
## Dffclt.skor17 -2.1775 NaN NaN
## Dffclt.skor18 1.8866 NaN NaN
## Dffclt.skor19 2.1122 NaN NaN
## Dffclt.skor20 2.3140 NaN NaN
## Dffclt.skor21 3.0123 NaN NaN
## Dffclt.skor22 1.9256 NaN NaN
## Dffclt.skor23 3.2953 NaN NaN
## Dffclt.skor24 4.0950 NaN NaN
## Dffclt.skor25 1.3512 NaN NaN
## Dffclt.skor26 2.2411 NaN NaN
## Dffclt.skor27 2.6929 NaN NaN
## Dffclt.skor28 4.5526 NaN NaN
## Dffclt.skor29 2.0802 NaN NaN
## Dffclt.skor30 2.6545 NaN NaN
## Dffclt.skor31 1.7894 NaN NaN
## Dffclt.skor32 -3.2944 NaN NaN
## Dffclt.skor33 1.7399 NaN NaN
## Dffclt.skor34 -38.9255 NaN NaN
## Dffclt.skor35 9.5418 NaN NaN
## Dffclt.skor36 2.3051 NaN NaN
## Dffclt.skor37 -2.2727 NaN NaN
## Dffclt.skor38 2.1271 NaN NaN
## Dffclt.skor39 2.1161 NaN NaN
## Dffclt.skor40 2.1005 NaN NaN
## Dffclt.skor41 3.1199 NaN NaN
## Dffclt.skor42 3.5395 NaN NaN
## Dffclt.skor43 2.3899 NaN NaN
## Dffclt.skor44 2.1810 NaN NaN
## Dffclt.skor45 1.4940 NaN NaN
## Dffclt.skor46 2.5688 NaN NaN
## Dffclt.skor47 -2.2694 NaN NaN
## Dffclt.skor48 2.2003 NaN NaN
## Dffclt.skor49 2.1099 NaN NaN
## Dffclt.skor50 2.6587 NaN NaN
## Dffclt.skor51 2.3512 NaN NaN
## Dffclt.skor52 6.4748 NaN NaN
## Dffclt.skor53 4.2252 NaN NaN
## Dffclt.skor54 14.6955 NaN NaN
## Dffclt.skor55 1.8930 NaN NaN
## Dffclt.skor56 2.3434 NaN NaN
## Dffclt.skor57 2.5889 NaN NaN
## Dffclt.skor58 1.8541 NaN NaN
## Dffclt.skor59 2.4215 NaN NaN
## Dffclt.skor60 0.3529 NaN NaN
## Dffclt.skor61 0.3464 NaN NaN
## Dffclt.skor62 0.3401 NaN NaN
## Dffclt.skor63 -1.6557 NaN NaN
## Dffclt.skor64 0.3340 NaN NaN
## Dffclt.skor65 -1.6506 NaN NaN
## Dffclt.skor66 0.3279 NaN NaN
## Dffclt.skor67 0.3220 NaN NaN
## Dffclt.skor68 -1.6461 NaN NaN
## Dffclt.skor69 -1.6419 NaN NaN
## Dffclt.skor70 0.3162 NaN NaN
## Dffclt.skor71 -1.6382 NaN NaN
## Dffclt.skor72 0.3106 NaN NaN
## Dscrmn.skor01 1.2674 NaN NaN
## Dscrmn.skor02 0.7079 NaN NaN
## Dscrmn.skor03 0.9543 NaN NaN
## Dscrmn.skor04 0.5055 NaN NaN
## Dscrmn.skor05 0.2827 NaN NaN
## Dscrmn.skor06 0.0913 NaN NaN
## Dscrmn.skor07 0.1661 NaN NaN
## Dscrmn.skor08 2.7623 NaN NaN
## Dscrmn.skor09 2.1082 NaN NaN
## Dscrmn.skor10 8.3827 NaN NaN
## Dscrmn.skor11 -3.3694 NaN NaN
## Dscrmn.skor12 7.2257 NaN NaN
## Dscrmn.skor13 2.4864 NaN NaN
## Dscrmn.skor14 7.1343 NaN NaN
## Dscrmn.skor15 2.0821 NaN NaN
## Dscrmn.skor16 0.2864 NaN NaN
## Dscrmn.skor17 -7.8203 NaN NaN
## Dscrmn.skor18 0.9048 NaN NaN
## Dscrmn.skor19 6.1462 NaN NaN
## Dscrmn.skor20 0.1960 NaN NaN
## Dscrmn.skor21 1.3715 NaN NaN
## Dscrmn.skor22 3.0067 NaN NaN
## Dscrmn.skor23 0.9254 NaN NaN
## Dscrmn.skor24 0.7839 NaN NaN
## Dscrmn.skor25 0.3723 NaN NaN
## Dscrmn.skor26 1.9322 NaN NaN
## Dscrmn.skor27 0.2446 NaN NaN
## Dscrmn.skor28 0.1689 NaN NaN
## Dscrmn.skor29 2.1210 NaN NaN
## Dscrmn.skor30 1.2182 NaN NaN
## Dscrmn.skor31 2.8077 NaN NaN
## Dscrmn.skor32 -1.9437 NaN NaN
## Dscrmn.skor33 2.8119 NaN NaN
## Dscrmn.skor34 -0.0182 NaN NaN
## Dscrmn.skor35 0.1376 NaN NaN
## Dscrmn.skor36 5.7684 NaN NaN
## Dscrmn.skor37 -2.4335 NaN NaN
## Dscrmn.skor38 6.2275 NaN NaN
## Dscrmn.skor39 0.2829 NaN NaN
## Dscrmn.skor40 10.2095 NaN NaN
## Dscrmn.skor41 0.6687 NaN NaN
## Dscrmn.skor42 0.9075 NaN NaN
## Dscrmn.skor43 1.7544 NaN NaN
## Dscrmn.skor44 6.9797 NaN NaN
## Dscrmn.skor45 0.4327 NaN NaN
## Dscrmn.skor46 1.1676 NaN NaN
## Dscrmn.skor47 -6.6529 NaN NaN
## Dscrmn.skor48 1.6473 NaN NaN
## Dscrmn.skor49 10.3555 NaN NaN
## Dscrmn.skor50 0.6599 NaN NaN
## Dscrmn.skor51 2.2652 NaN NaN
## Dscrmn.skor52 0.1555 NaN NaN
## Dscrmn.skor53 0.1596 NaN NaN
## Dscrmn.skor54 0.0450 NaN NaN
## Dscrmn.skor55 8.3895 NaN NaN
## Dscrmn.skor56 2.3047 NaN NaN
## Dscrmn.skor57 1.3311 NaN NaN
## Dscrmn.skor58 6.7820 NaN NaN
## Dscrmn.skor59 1.3745 NaN NaN
## Dscrmn.skor60 86.3024 NaN NaN
## Dscrmn.skor61 86.3831 NaN NaN
## Dscrmn.skor62 86.4668 NaN NaN
## Dscrmn.skor63 -98.5216 NaN NaN
## Dscrmn.skor64 86.5531 NaN NaN
## Dscrmn.skor65 -98.7132 NaN NaN
## Dscrmn.skor66 86.6421 NaN NaN
## Dscrmn.skor67 86.7334 NaN NaN
## Dscrmn.skor68 -98.8887 NaN NaN
## Dscrmn.skor69 -99.0478 NaN NaN
## Dscrmn.skor70 86.8270 NaN NaN
## Dscrmn.skor71 -99.1903 NaN NaN
## Dscrmn.skor72 86.9228 NaN NaN
##
## Integration:
## method: Gauss-Hermite
## quadrature points: 21
##
## Optimization:
## Optimizer: optim (BFGS)
## Convergence: 0
## max(|grad|): 0.3
##
## Call:
## tpm(data = datalc)
##
## Total Information = 1262.48
## Information in (-10, 10) = 1262.48 (100%)
## Based on all the items##
## Call:
## tpm(data = datalc)
##
## Total Information = 1262.48
## Information in (0, 10) = 754.82 (59.79%)
## 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 2.604350e+01 0.0005
## skor02 3.341410e+01 <0.0001
## skor03 1.845350e+01 0.0101
## skor04 3.264070e+01 <0.0001
## skor05 5.803960e+01 <0.0001
## skor06 1.475940e+01 0.0392
## skor07 1.762400e+01 0.0138
## skor08 1.101420e+01 0.138
## skor09 1.680400e+01 0.0187
## skor10 1.895550e+01 0.0083
## skor11 1.675260e+01 0.0191
## skor12 1.350120e+01 0.0608
## skor13 1.320080e+01 0.0674
## skor14 1.308070e+01 0.0702
## skor15 2.402310e+01 0.0011
## skor16 3.697100e+01 <0.0001
## skor17 2.680190e+01 0.0004
## skor18 3.412830e+01 <0.0001
## skor19 1.239020e+01 0.0884
## skor20 4.590750e+01 <0.0001
## skor21 2.170550e+01 0.0029
## skor22 9.603700e+00 0.2122
## skor23 8.799400e+00 0.2674
## skor24 2.533620e+01 0.0007
## skor25 3.592090e+01 <0.0001
## skor26 2.232390e+01 0.0022
## skor27 2.576070e+01 0.0006
## skor28 3.423490e+01 <0.0001
## skor29 1.758680e+01 0.014
## skor30 1.562320e+01 0.0288
## skor31 1.194820e+01 0.1023
## skor32 1.890960e+01 0.0085
## skor33 2.615680e+01 0.0005
## skor34 2.400400e+01 0.0011
## skor35 6.941600e+00 0.435
## skor36 2.710070e+01 0.0003
## skor37 9.293290e+01 <0.0001
## skor38 2.891910e+01 0.0001
## skor39 2.531100e+01 0.0007
## skor40 1.317440e+01 0.068
## skor41 2.496990e+01 0.0008
## skor42 3.777750e+01 <0.0001
## skor43 2.243000e+01 0.0021
## skor44 1.636400e+01 0.022
## skor45 4.540300e+01 <0.0001
## skor46 3.041470e+01 0.0001
## skor47 1.411460e+01 0.0492
## skor48 2.486980e+01 0.0008
## skor49 1.203350e+01 0.0995
## skor50 2.224790e+01 0.0023
## skor51 1.289370e+01 0.0747
## skor52 1.946720e+01 0.0068
## skor53 2.871160e+01 0.0002
## skor54 1.354250e+01 0.0599
## skor55 1.893140e+01 0.0084
## skor56 3.840600e+00 0.7979
## skor57 3.362140e+01 <0.0001
## skor58 2.666170e+01 0.0004
## skor59 1.188090e+01 0.1045
## skor60 1.387655e+03 <0.0001
## skor61 8.006541e+02 <0.0001
## skor62 4.660795e+02 <0.0001
## skor63 2.057112e+15 <0.0001
## skor64 2.732921e+02 <0.0001
## skor65 1.979566e+15 <0.0001
## skor66 1.610280e+02 <0.0001
## skor67 9.499270e+01 <0.0001
## skor68 1.926150e+15 <0.0001
## skor69 1.897341e+15 <0.0001
## skor70 5.578610e+01 <0.0001
## skor71 1.894284e+15 <0.0001
## skor72 3.232440e+01 <0.0001
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.5570 -0.3335 0.2274 0.1254 0.4131 2.5240PERBANDINGAN INFORMATION FUNCTION
##
## Call:
## rasch(data = datalc, constraint = cbind(ncol(datalc) + 1, 1))
##
## Total Information = 71.99
## Information in (-10, 10) = 71.99 (100%)
## Based on all the items##
## Call:
## rasch(data = datalc)
##
## Total Information = 40.08
## Information in (-10, 10) = 40.08 (100%)
## Based on all the items##
## Call:
## ltm(formula = datalc ~ z1)
##
## Total Information = 877.2
## Information in (-10, 10) = 877.2 (100%)
## Based on all the items##
## Call:
## tpm(data = datalc)
##
## Total Information = 1262.48
## Information in (-10, 10) = 1262.48 (100%)
## Based on all the itemsANOVA KEEMPAT MODEL
##
## Likelihood Ratio Table
## AIC BIC log.Lik LRT df p.value
## lcrasch 41109.16 41411.45 -20482.58
## lcIRT.1pl 40930.07 41236.56 -20392.04 181.09 1 <0.001##
## Likelihood Ratio Table
## AIC BIC log.Lik LRT df p.value
## lcIRT.1pl 40930.07 41236.56 -20392.04
## lcIRT.2pl 37150.09 37754.67 -18431.05 3921.98 71 <0.001##
## Likelihood Ratio Table
## AIC BIC log.Lik LRT df p.value
## lcIRT.2pl 37150.09 37754.67 -18431.05
## lcIRT.3pl 37149.44 38056.31 -18358.72 144.65 72 <0.001