Teori Respons Butir Politomi
PengantarBerikut ini contoh hasil analisis dengan menggunakan Model GRM pada Subskala 1 Skala Self-Esteem |
Program R (Paket ltm)
> library(ltm)
> fit2 <- grm(F2)
> fit2
Call:
grm(data = F2)
Coefficients:
Extrmt1 Extrmt2 Extrmt3 Dscrmn
V1 -2.783 -0.377 2.333 0.687
V2 -1.454 0.298 2.217 0.945
V3 0.911 3.744 8.538 0.463
V4 -1.913 0.163 2.633 0.774
V5 -3.976 -1.511 0.699 0.931
V6 -1.429 0.650 3.376 0.646
V7 -2.926 -0.769 1.712 0.779
V8 -1.793 0.080 2.288 0.988
V9 -2.668 -0.551 1.417 0.833
V10 -3.505 -1.189 0.551 0.987
V11 -3.839 -1.667 -0.184 1.046
Log.Lik: -39773.68
Program MPLUS
Syntax Analisis
TITLE: Analisis Teori Respons Butir MPLUS (GRM)
DATA: FILE IS esteem-mplus.dat;
VARIABLE: NAMES ARE a01-a25;
MISSING ARE ALL (-9);
USEVARIABLE ARE a01-a11;
CATEGORICAL ARE a01-a11;
ANALYSIS: ESTIMATOR IS ML;
LINK IS LOGIT;
MODEL:
ESF1 BY a01-a11*; ! Model 1PL, slope dibuat bervariasi
[a01$1-a11$1*]; ! Threshold
[a01$2-a11$2*];
[a01$3-a11$3*];
[ESF1@0]; ESF1@1;
OUTPUT: STDYX;
RESIDUAL TECH10;
SAVEDATA: SAVE = FSCORES;
FILE IS EFS1-Thetas.sco;
PLOT: TYPE IS PLOT1; ! Perintah Plot untuk deskriptif
TYPE IS PLOT2; ! Perintah Plot untuk kurva IRT
TYPE IS PLOT3; ! Perintah Plot untuk nilai theta
Hasil Analisis
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
ESF1 BY
A01 0.687 0.048 14.267 0.000
A02 0.946 0.054 17.386 0.000
A03 0.463 0.049 9.382 0.000
A04 0.775 0.049 15.663 0.000
A05 0.931 0.056 16.561 0.000
A06 0.646 0.048 13.522 0.000
A07 0.779 0.050 15.589 0.000
A08 0.988 0.055 17.833 0.000
A09 0.833 0.052 16.004 0.000
A10 0.986 0.058 17.128 0.000
A11 1.046 0.062 16.789 0.000
Means
ESF1 0.000 0.000 999.000 999.000
Thresholds
A01$1 -1.912 0.057 -33.370 0.000
A01$2 -0.259 0.041 -6.380 0.000
A01$3 1.603 0.052 30.746 0.000
A02$1 -1.374 0.052 -26.353 0.000
A02$2 0.282 0.044 6.482 0.000
A02$3 2.095 0.063 33.054 0.000
A03$1 0.422 0.039 10.702 0.000
A03$2 1.732 0.053 32.788 0.000
A03$3 3.951 0.130 30.364 0.000
A04$1 -1.481 0.051 -28.884 0.000
A04$2 0.127 0.041 3.073 0.002
A04$3 2.039 0.060 33.797 0.000
A05$1 -3.702 0.110 -33.577 0.000
A05$2 -1.407 0.053 -26.634 0.000
A05$3 0.651 0.045 14.419 0.000
A06$1 -0.922 0.044 -20.999 0.000
A06$2 0.420 0.041 10.303 0.000
A06$3 2.180 0.062 35.143 0.000
A07$1 -2.280 0.065 -35.034 0.000
A07$2 -0.599 0.043 -13.925 0.000
A07$3 1.334 0.050 26.892 0.000
A08$1 -1.771 0.058 -30.376 0.000
A08$2 0.080 0.044 1.825 0.068
A08$3 2.260 0.067 33.545 0.000
A09$1 -2.222 0.065 -34.246 0.000
A09$2 -0.459 0.043 -10.716 0.000
A09$3 1.180 0.048 24.362 0.000
A10$1 -3.457 0.100 -34.533 0.000
A10$2 -1.172 0.051 -23.124 0.000
A10$3 0.544 0.045 12.024 0.000
A11$1 -4.016 0.124 -32.392 0.000
A11$2 -1.743 0.060 -28.885 0.000
A11$3 -0.192 0.045 -4.262 0.000
Variances
ESF1 1.000 0.000 999.000 999.000
MULTILOG
Syntax Analisis
MULTILOG for Windows 7.00.2327.2
Created on: 5 May 2012, 07:42:46
>PROBLEM RANDOM,
INDIVIDUAL,
DATA = 'esteem-multilog.dat',
NITEMS = 11,
NGROUPS = 1,
NEXAMINEES = 2981;
>TEST ALL,
GRADED,
NC = (4(0)11);
>SAVE ;
>END ;
4
1234
11111111111
22222222222
33333333333
44444444444
(11A1)
Hasil Analisis
ITEM SUMMARY
MULTILOG for Windows 7.00.2327.2
ITEM 1: 4 GRADED CATEGORIES
P(#) ESTIMATE (S.E.)
A 1 0.69 (0.04)
B( 1) 2 -2.78 (0.19)
B( 2) 3 -0.38 (0.07)
B( 3) 4 2.33 (0.16)
@THETA: INFORMATION: (Theta values increase in steps of 0.2)
-3.0 - -1.6 0.127 0.131 0.134 0.136 0.138 0.139 0.140 0.141
-1.4 - 0.0 0.142 0.142 0.142 0.143 0.143 0.142 0.142 0.142
0.2 - 1.6 0.141 0.141 0.140 0.140 0.139 0.139 0.138 0.137
1.8 - 3.0 0.135 0.134 0.132 0.129 0.125 0.122 0.117
OBSERVED AND EXPECTED COUNTS/PROPORTIONS IN
CATEGORY(K): 1 2 3 4
OBS. FREQ. 435 871 1115 560
OBS. PROP. 0.1459 0.2922 0.3740 0.1879
EXP. PROP. 0.1475 0.2943 0.3705 0.1877
ITEM 2: 4 GRADED CATEGORIES
P(#) ESTIMATE (S.E.)
A 5 0.95 (0.05)
B( 1) 6 -1.45 (0.09)
B( 2) 7 0.30 (0.06)
B( 3) 8 2.22 (0.11)
@THETA: INFORMATION: (Theta values increase in steps of 0.2)
-3.0 - -1.6 0.138 0.154 0.171 0.188 0.204 0.218 0.231 0.242
-1.4 - 0.0 0.250 0.257 0.262 0.265 0.267 0.269 0.270 0.270
0.2 - 1.6 0.270 0.270 0.269 0.268 0.267 0.265 0.263 0.261
1.8 - 3.0 0.258 0.253 0.247 0.238 0.228 0.215 0.201
OBSERVED AND EXPECTED COUNTS/PROPORTIONS IN
CATEGORY(K): 1 2 3 4
OBS. FREQ. 702 961 899 419
OBS. PROP. 0.2355 0.3224 0.3016 0.1406
EXP. PROP. 0.2373 0.3217 0.2996 0.1413
