1 *** LOGISTIC MODEL ITEM ANALYSER *** *** PHASE 3 *** AGREEABLENESS CALIBRATION FOR IRT TUTORIAL. >COMMENT >SCORE MET=2, IDIST=0, RSC=0, NOPRINT; PARAMETERS FOR SCORING, RESCALING, AND TEST AND ITEM INFORMATION METHOD OF SCORING SUBJECTS: EXPECTATION A POSTERIORI (EAP; BAYES ESTIMATES) TYPE OF PRIOR: NORMAL SCORES WRITTEN TO FILE AGR2_CAL.SCO TYPE OF RESCALING: NONE REQUESTED ITEM AND TEST INFORMATION: NONE REQUESTED QUAD PRIOR PRIOR RESCALING CONSTANTS TEST NAME POINTS MEAN STN DEV SCALING LOCATION ---------------------------------------------------------- 1 AGR 10 0.000 1.000 1.000 0.000 1 ****************************** SCORING ****************************** EAP SUBJECT ESTIMATION, SUBTEST:AGR QUADRATURE POINTS AND PRIOR WEIGHTS: 1 2 3 4 5 POINT -0.4000E+01 -0.3111E+01 -0.2222E+01 -0.1333E+01 -0.4444E+00 WEIGHT 0.1190E-03 0.2805E-02 0.3002E-01 0.1458E+00 0.3213E+00 6 7 8 9 10 POINT 0.4444E+00 0.1333E+01 0.2222E+01 0.3111E+01 0.4000E+01 WEIGHT 0.3213E+00 0.1458E+00 0.3002E-01 0.2805E-02 0.1190E-03 1 SUBJECT IDENTIFICATION MARGINAL WEIGHT SUBTEST TRIED RIGHT PERCENT ABILITY S.E. PROB -------------------------------------------------------------------------- 1001 | | 1.00 AGR 10 7 0.7000 | -0.0723 0.4630 | 0.000769 1003 | | 1.00 AGR 10 10 1.0000 | 1.1758 0.6488 | 0.192696 1005 | | 1.00 AGR 10 9 0.9000 | 0.6836 0.5114 | 0.036129 -------------------------------------------------------------------------- CORRELATIONS AMONG SUBTEST SCORE ESTIMATES: AGR AGR 1.000 MEANS AND STANDARD DEVIATIONS OF SCORE ESTIMATES: TEST: AGR MEAN: 0.001 S.D.: 0.866 MARGINAL LATENT DISTRIBUTION FOR SUBTEST AGR MEAN = 0.001 S.D. = 0.972 1 2 3 4 5 POINT -0.4000E+01 -0.3111E+01 -0.2222E+01 -0.1333E+01 -0.4444E+00 WEIGHT 0.1501E-03 0.3457E-02 0.3396E-01 0.1384E+00 0.3137E+00 6 7 8 9 10 POINT 0.4444E+00 0.1333E+01 0.2222E+01 0.3111E+01 0.4000E+01 WEIGHT 0.3365E+00 0.1426E+00 0.2840E-01 0.2629E-02 0.1112E-03 4492 BYTES OF NUMERIAL WORKSPACE USED OUT OF 3600000 IN PHASE-3 2512 BYTES OF CHARACTER WORKSPACE USED OUT OF 80000 IN PHASE-3