Analisis Karakteristik Psikometri pada Culture Fair Intelligence Test (CFIT) Skala 3B

  LAMPIRAN I Output Lisrel 8.30

  Path Diagram L I S R E L 8.30 BY Karl G. J”reskog & Dag S”rbom This program is published exclusively by Scientific Software International, Inc. 7383 N. Lincoln Avenue, Suite 100 Chicago, IL 60646-1704, U.S.A. Phone: (800)247-6113, (847)675-0720, Fax: (847)675-2140 Copyright by Scientific Software International, Inc., 1981-99 Use of this program is subject to the terms specified in the Universal Copyright Convention. Website: www.ssicentral.com The following lines were read from file C:\LISREL83\CFITSYS.SPJ: cfit cfa cfit cfa diagram Observed Variables A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 A12 A13 B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 D7 D8 D9 D10 Path Diagram Iterations = 250 Method of Estimation: Maximum Likelihood End of Problem Sample Size = 50 cfit cfa

  Covariance Matrix to be Analyzed A1 A2 A3 A4 A5 A6

  • A1 2.00 A2 0.25 2.00 A3 0.47 0.26 2.00 A4 0.42 0.21 0.42 2.00 A5 0.27 0.16 0.42 0.39 2.00

  A6 0.30 -0.06 0.37 0.26 0.30 2.00 A7 0.16 0.10 0.31 0.24 0.27 0.33 A8 0.19 -0.09 0.15 0.14 0.13 0.32 A9 0.14 -0.04 0.15 0.14 0.22 0.26 A10 0.03 0.27 0.04 0.08 0.06 0.01 A11 -0.04 -0.17 -0.05 -0.06 -0.05 0.11 A12 0.05 -0.16 -0.04 -0.07 -0.03 0.05 A13 -0.06 0.14 -0.11 -0.01 -0.03 -0.21 B1 0.25 0.03 0.26 0.20 0.11 0.16 B2 0.20 -0.02 0.28 0.21 0.13 0.13 B3 0.11 0.01 0.19 0.14 0.17 0.19 B4 0.10 0.61 0.18 0.16 0.19 0.16 B5 0.26 0.08 0.25 0.25 0.20 0.26 B6 0.10 0.07 0.17 0.16 0.21 0.22 B7 -0.01 -0.01 - - 0.02 0.01 0.04 B8 0.10 -0.01 0.12 0.04 0.05 0.06 B9 0.11 0.02 0.16 0.18 0.22 0.21 B10 - - -0.13 -0.09 -0.06 -0.02 -0.06 B11 0.09 -0.03 0.11 0.13 0.11 0.16 B12 0.13 0.28 0.14 0.10 0.12 0.08 B13 0.11 0.06 0.14 0.09 0.01 0.15 C1 0.34 0.13 0.25 0.21 0.18 0.31 C2 0.37 0.17 0.42 0.43 0.35 0.36 C3 0.19 0.15 0.29 0.27 0.29 0.28 C4 0.11 0.03 0.14 0.21 0.14 0.18 C5 -0.11 0.40 0.11 0.07 0.14 0.16 C6 0.29 0.10 0.28 0.13 0.19 0.29 C7 0.14 0.04 0.29 0.18 0.26 0.32 C8 -0.05 - - 0.17 0.04 0.07 - - C9 0.03 - - 0.03 -0.02 -0.05 -0.07 C10 -0.14 -0.04 -0.14 -0.15 -0.11 -0.07 C11 0.19 0.13 - - -0.11 -0.09 -0.05 C12 -0.07 0.21 0.04 0.18 -0.01 -0.08 C13 -0.16 0.02 -0.24 -0.12 -0.09 -0.16 D1 0.15 0.13 0.24 0.16 0.20 0.23 D2 0.02 0.06 0.06 0.08 0.18 0.09 D3 0.09 0.09 0.08 0.09 0.15 0.13 D4 0.09 -0.06 0.07 0.02 0.06 0.12

  D5 0.14 0.13 0.20 0.13 0.16 0.19 D6 0.16 -0.05 0.12 0.04 0.10 0.13 D7 -0.06 0.32 0.01 - - 0.05 -0.02 D8 0.05 - - 0.04 0.03 0.09 0.11 D9 0.06 0.11 0.18 0.02 0.10 0.10 D10 -0.01 -0.02 0.02 -0.01 0.01 0.04 Covariance Matrix to be Analyzed A7 A8 A9 A10 A11 A12

  • A7 2.00 A8 0.30 2.00 A9 0.22 0.29 2.00 A10 0.11 0.07 0.03 2.00 A11 -0.01 0.24 0.16 0.08 2.00

  A12 0.01 0.15 0.08 0.12 0.27 2.00 A13 0.02 -0.05 -0.09 - - -0.05 0.16 B1 0.11 0.19 0.08 0.04 - - -0.02 B2 0.20 0.19 0.11 0.02 0.04 0.02 B3 0.15 0.16 0.15 0.05 0.05 0.02 B4 0.15 0.08 0.13 0.17 0.03 -0.07 B5 0.18 0.25 0.16 0.03 -0.02 0.05 B6 0.18 0.27 0.20 0.01 0.06 0.06 B7 0.06 0.06 -0.02 0.08 0.02 - - B8 0.04 0.11 0.08 -0.01 0.03 -0.01 B9 0.22 0.29 0.19 0.02 0.03 -0.05 B10 -0.03 -0.01 -0.03 -0.05 0.07 0.14 B11 0.11 0.23 0.17 0.06 0.04 0.05 B12 0.11 0.10 0.10 0.11 -0.05 -0.01 B14 -0.18 0.02 0.14 -0.14 0.06 0.05 C1 0.17 0.18 - - -0.04 -0.04 -0.06 C2 0.35 0.31 0.26 - - 0.04 0.03 C3 0.22 0.16 0.12 -0.02 0.01 0.02 C4 0.07 0.08 0.06 -0.02 0.03 0.08 C5 0.24 0.18 0.04 0.09 0.12 - - C6 0.19 0.15 0.09 0.01 -0.12 0.01 C7 0.24 0.26 0.20 0.01 0.07 -0.03 C8 0.17 - - -0.03 -0.05 0.07 -0.02 C9 -0.14 -0.02 0.02 0.11 0.16 0.07 C10 0.01 0.07 -0.01 -0.05 - - 0.10 C11 0.04 0.08 -0.01 0.06 -0.09 0.18 C12 0.11 0.05 0.16 0.08 - - -0.08 C13 -0.10 -0.18 -0.15 0.10 0.07 0.02 D1 0.20 0.13 0.06 0.02 -0.03 0.04 D2 0.11 0.09 0.05 -0.07 -0.05 0.08 D3 0.07 0.15 0.09 0.01 0.07 0.02

  D4 0.04 0.12 0.05 -0.04 0.10 0.04 D5 0.18 0.16 0.13 -0.01 0.08 0.03 D6 -0.02 0.16 0.13 0.01 0.12 0.03 D7 0.05 0.03 -0.02 0.07 0.04 -0.05 D8 0.09 0.14 0.11 - - 0.03 -0.09 D9 0.08 0.21 0.12 0.04 0.05 0.02 D10 0.05 0.03 -0.05 0.05 0.04 -0.02 Covariance Matrix to be Analyzed A13 B1 B2 B3 B4 B5

  • A13 2.00 B1 0.01 2.00 B2 -0.07 0.73 2.00 B3 -0.03 0.72 0.72 2.00 B4 -0.04 0.40 0.41 0.43 2.00

  B5 0.10 0.26 0.29 0.31 0.34 2.00 B6 - - 0.25 0.23 0.36 0.30 0.35 B7 0.08 -0.22 -0.24 -0.12 -0.16 -0.02 B8 0.01 0.16 0.12 0.17 0.11 0.18 B9 -0.14 0.50 0.49 0.42 0.37 0.37 B10 0.13 -0.19 -0.18 -0.13 -0.29 -0.01 B11 0.04 0.37 0.45 0.37 0.28 0.36 B12 0.05 0.01 0.02 0.05 0.04 0.09 B13 -0.02 0.03 0.05 0.05 0.05 0.19 B14 - - -0.03 -0.14 -0.06 -0.21 -0.01 C1 -0.05 0.14 0.09 0.04 0.20 0.32 C2 -0.12 0.20 0.27 0.20 0.25 0.38 C3 0.01 0.15 0.18 0.23 0.13 0.22 C5 -0.21 0.06 0.07 0.08 0.11 0.10 C6 -0.16 0.06 0.14 0.10 0.05 0.26 C7 -0.12 0.19 0.17 0.15 0.18 0.22 C8 -0.02 0.03 0.08 0.07 0.03 0.06 C9 0.03 0.01 0.02 -0.04 0.01 -0.10 C10 0.10 0.01 0.02 -0.03 -0.06 0.01 C11 0.09 0.08 0.04 0.06 0.03 0.06 C12 0.21 0.01 -0.14 -0.07 0.01 -0.09 C13 0.22 0.06 -0.02 0.01 0.01 -0.17 D1 -0.04 0.22 0.16 0.20 0.13 0.25 D2 -0.07 0.21 0.21 0.21 0.22 0.20 D3 0.03 0.14 0.15 0.17 0.17 0.16 D4 -0.05 0.04 0.11 0.15 0.11 0.04 D5 -0.07 0.14 0.17 0.12 0.14 0.14 D6 -0.03 0.11 0.09 0.08 0.12 0.13 D7 -0.03 -0.04 -0.04 0.01 0.14 -0.03 D8 0.04 0.13 0.16 0.22 0.14 0.05

  D9 -0.07 0.22 0.27 0.12 0.12 0.16 D10 0.11 0.06 0.07 0.05 -0.02 0.02 Covariance Matrix to be Analyzed B6 B7 B8 B9 B10 B11

  • B6 2.00 B7 0.12 2.00 B8 0.18 -0.08 2.00 B9 0.27 -0.43 0.14 2.00 B10 -0.02 0.37 0.05 -0.32 2.00

  B11 0.26 -0.24 0.11 0.41 -0.14 2.00 B12 0.02 0.15 0.08 - - 0.15 0.19 B13 0.07 0.07 0.08 0.02 0.09 0.21 B14 -0.06 0.15 -0.20 -0.26 0.04 -0.25 C1 0.26 -0.06 0.19 0.27 -0.03 0.10 C2 0.21 0.10 0.13 0.34 0.04 0.19 C3 0.14 0.02 0.05 0.15 0.05 0.17 C4 0.17 0.06 0.01 0.01 0.01 0.13 C5 0.03 -0.01 -0.03 0.13 -0.08 0.07 C6 0.15 0.10 0.02 0.17 -0.08 0.14 C7 0.17 0.07 -0.02 0.23 -0.02 0.12 C8 0.01 0.03 0.09 0.04 0.03 -0.04 C9 -0.04 -0.04 -0.06 0.02 0.05 0.09 C10 - - 0.09 0.09 -0.01 0.02 -0.04 C11 0.22 0.10 0.07 - - -0.04 -0.04 C12 0.02 -0.04 0.14 -0.07 0.02 0.07 C13 -0.01 0.05 0.04 -0.20 -0.07 -0.08 D1 0.18 0.06 0.10 0.21 0.09 0.16 D3 0.21 -0.01 0.03 0.14 -0.05 0.22 D4 0.15 -0.08 0.12 0.15 - - 0.19 D5 0.18 -0.02 0.06 0.12 -0.03 0.18 D6 0.03 -0.06 0.07 0.13 -0.07 0.06 D7 -0.01 0.01 0.02 -0.02 -0.04 -0.05 D8 0.15 0.05 0.03 0.10 -0.04 0.12 D9 0.18 -0.05 0.06 0.15 -0.04 0.11 D10 0.04 0.01 0.02 - - 0.06 0.06 Covariance Matrix to be Analyzed B12 B13 B14 C1 C2 C3

  • B12 2.00 B13 0.16 2.00 B14 0.23 0.09 2.00 C1 0.19 0.05 0.18 2.00

  C2 0.14 0.08 0.22 0.43 2.00 C3 0.09 0.08 0.06 0.34 0.59 2.00 C4 0.10 0.09 0.19 0.30 0.23 0.15 C5 -0.06 0.16 -0.04 0.03 0.19 0.23 C6 0.02 - - 0.05 0.41 0.37 0.28 C7 0.08 0.14 0.04 0.22 0.38 0.20 C8 0.05 -0.04 0.13 0.04 0.06 0.05 C9 0.08 -0.02 0.01 -0.04 -0.09 - - C10 -0.06 0.06 - - 0.02 -0.04 -0.01 C11 0.16 -0.16 0.01 0.16 0.07 -0.02 C12 0.03 0.05 0.06 -0.16 -0.05 -0.13 C13 -0.05 -0.02 -0.16 -0.15 -0.28 -0.21 D1 0.08 0.09 -0.05 0.28 0.25 0.25 D2 0.08 0.12 0.06 0.20 0.18 0.16 D3 0.10 0.04 -0.04 0.13 0.21 0.21 D4 0.06 0.03 -0.02 0.04 0.13 0.08 D5 0.02 0.08 0.02 0.19 0.31 0.23 D6 0.02 0.09 -0.12 0.05 0.07 -0.01 D7 -0.02 -0.05 -0.08 -0.06 - - 0.02 D8 0.10 0.03 0.09 0.05 0.08 0.09 D9 0.04 0.18 0.01 0.04 0.10 0.06 D10 0.03 0.08 0.14 - - 0.05 0.18 Covariance Matrix to be Analyzed C4 C5 C6 C7 C8 C9

  • C4 2.00 C5 0.09 2.00 C6 0.23 0.20 2.00 C8 0.10 0.08 0.16 0.13 2.00 C9 -0.06 -0.07 -0.06 -0.09 -0.12 2.00

  C10 -0.04 0.03 0.02 -0.05 -0.05 0.07 C11 0.09 0.03 0.11 0.08 -0.07 0.10 C12 -0.03 0.04 -0.13 0.02 -0.04 -0.01 C13 -0.17 -0.19 -0.22 -0.10 -0.09 0.01 D1 0.11 0.10 0.23 0.19 0.05 -0.03 D2 0.11 -0.03 0.21 0.09 0.05 -0.07 D3 0.15 0.10 0.23 0.22 -0.03 -0.03 D4 0.08 0.10 0.06 0.05 0.05 0.04 D5 0.13 0.11 0.13 0.20 -0.05 0.03 D6 0.06 -0.10 - - 0.09 -0.11 0.05 D7 0.01 0.05 -0.01 -0.07 0.03 0.07 D8 0.07 -0.01 0.08 0.14 0.04 - - D9 0.03 0.06 0.04 0.16 0.02 -0.01 D10 -0.01 0.05 0.14 0.05 0.06 -0.02

  Covariance Matrix to be Analyzed C10 C11 C12 C13 D1 D2

  • C10 2.00 C11 0.18 2.00 C12 0.06 -0.06 2.00 C13 0.08 -0.20 0.16 2.00 D1 -0.01 0.01 -0.08 -0.21 2.00

  D2 0.07 0.04 -0.11 -0.16 0.62 2.00 D3 -0.06 -0.03 -0.06 -0.05 0.43 0.50 D4 0.15 -0.11 0.02 -0.07 0.20 0.24 D5 0.07 0.13 -0.07 -0.13 0.38 0.33 D6 -0.04 -0.09 -0.10 -0.02 0.35 0.16 D7 0.18 0.02 0.03 0.09 0.08 0.08 D8 -0.04 0.02 0.04 -0.05 0.10 0.23 D9 0.07 0.08 -0.05 -0.13 0.33 0.38 D10 0.04 -0.02 0.03 0.08 0.12 0.23 Covariance Matrix to be Analyzed D3 D4 D5 D6 D7 D8

  • D3 2.00 D4 0.30 2.00 D5 0.31 0.18 2.00 D6 0.20 0.33 0.12 2.00 D7 0.03 -0.02 0.06 0.14 2.00

  D8 0.20 0.11 0.12 0.01 0.04 2.00 D9 0.21 0.09 0.21 0.24 0.01 0.24 Covariance Matrix to be Analyzed D9 D10

  • D9 2.00 D10 0.18 2.00

  cfit cfa Number of Iterations = 8 LISREL Estimates (Maximum Likelihood) A1 = 0.55*Series, Errorvar.= 1.70 , Rý = 0.15 (0.24) (0.37) 2.31 4.53 A2 = 0.24*Series, Errorvar.= 1.94 , Rý = 0.029 (0.24) (0.40) 0.99 4.88 A3 = 0.67*Series, Errorvar.= 1.55 , Rý = 0.23 (0.24) (0.36) 2.85 4.26 A4 = 0.56*Series, Errorvar.= 1.69 , Rý = 0.16 (0.24) (0.37) 2.36 4.51 A5 = 0.55*Series, Errorvar.= 1.70 , Rý = 0.15 (0.24) (0.37) 2.31 4.53 A6 = 0.59*Series, Errorvar.= 1.66 , Rý = 0.17 (0.24) (0.37) 2.47 4.46 (0.24) (0.38) 2.05 4.63 A8 = 0.41*Series, Errorvar.= 1.83 , Rý = 0.086 (0.24) (0.39) 1.72 4.73 A9 = 0.34*Series, Errorvar.= 1.89 , Rý = 0.057 (0.24) (0.39) 1.40 4.81 A10 = 0.081*Series, Errorvar.= 1.99 , Rý = 0.0033 (0.24) (0.40) 0.33 4.94

  A11 = 0.025*Series, Errorvar.= 2.00 , Rý = 0.00032 (0.24) (0.40) 0.10 4.95 A12 = 0.011*Series, Errorvar.= 2.00 , Rý = 0.00 (0.24) (0.40) 0.047 4.95 A13 = - 0.14*Series, Errorvar.= 1.98 , Rý = 0.010 (0.24) (0.40)

  • 0.59 4.93 B1 = 0.77*Classifi, Errorvar.= 1.41 , Rý = 0.30 (0.22) (0.34) 3.46 4.14 B2 = 0.80*Classifi, Errorvar.= 1.37 , Rý = 0.32 (0.22) (0.34)

  3.59 4.06 B3 = 0.76*Classifi, Errorvar.= 1.42 , Rý = 0.29 (0.22) (0.34) 3.43 4.16 B4 = 0.57*Classifi, Errorvar.= 1.67 , Rý = 0.16 (0.23) (0.37) 2.51 4.57 B5 = 0.50*Classifi, Errorvar.= 1.75 , Rý = 0.12 (0.23) (0.37) B6 = 0.43*Classifi, Errorvar.= 1.81 , Rý = 0.093 (0.23) (0.38) 1.85 4.75 B7 = - 0.26*Classifi, Errorvar.= 1.93 , Rý = 0.034 (0.24) (0.40)

  • 1.10 4.88 B8 = 0.23*Classifi, Errorvar.= 1.95 , Rý = 0.025 (0.24) (0.40) 0.95 4.90 B9 = 0.68*Classifi, Errorvar.= 1.54 , Rý = 0.23 (0.23) (0.35)

  3.00 4.38

  B10 = - 0.25*Classifi, Errorvar.= 1.94 , Rý = 0.030 (0.24) (0.40)

  • 1.05 4.89 B11 = 0.56*Classifi, Errorvar.= 1.68 , Rý = 0.16 (0.23) (0.37) 2.45 4.59 B12 = 0.083*Classifi, Errorvar.= 1.99 , Rý = 0.0034 (0.24) (0.40)

  0.35 4.94 B13 = 0.13*Classifi, Errorvar.= 1.98 , Rý = 0.0079 (0.24) (0.40) 0.53 4.93 B14 = - 0.17*Classifi, Errorvar.= 1.97 , Rý = 0.014 (0.24) (0.40)

  • 0.70 4.92 C1 = 0.55*Matrices, Errorvar.= 1.69 , Rý = 0.15 (0.24) (0.37) 2.32 4.52 C2 = 0.82*Matrices, Errorvar.= 1.33 , Rý = 0.34 (0.23) (0.36)

  3.50 3.71 C3 = 0.60*Matrices, Errorvar.= 1.64 , Rý = 0.18 (0.24) (0.37) C4 = 0.33*Matrices, Errorvar.= 1.89 , Rý = 0.055 (0.24) (0.39) 1.36 4.81 C5 = 0.28*Matrices, Errorvar.= 1.92 , Rý = 0.039 (0.24) (0.40) 1.15 4.85 C6 = 0.53*Matrices, Errorvar.= 1.72 , Rý = 0.14 (0.24) (0.38) 2.20 4.57 C7 = 0.47*Matrices, Errorvar.= 1.78 , Rý = 0.11 (0.24) (0.38) 1.94 4.66

  C8 = 0.14*Matrices, Errorvar.= 1.98 , Rý = 0.0092 (0.24) (0.40) 0.55 4.93 C9 = - 0.083*Matrices, Errorvar.= 1.99 , Rý = 0.0034 (0.25) (0.40)

  • 0.34 4.94 C10 = - 0.067*Matrices, Errorvar.= 2.00 , Rý = 0.0022 (0.25) (0.40)
  • 0.27 4.94 C11 = 0.10*Matrices, Errorvar.= 1.99 , Rý = 0.0053 (0.24) (0.40) 0.42 4.94 C12 = - 0.089*Matrices, Errorvar.= 1.99 , Rý = 0.0040 (0.24) (0.40)
  • 0.36 4.94 C13 = - 0.36*Matrices, Errorvar.= 1.87 , Rý = 0.064 (0.24) (0.39)
  • 1.47 4.79 D1 = 0.76*Topology, Errorvar.= 1.43 , Rý = 0.29 (0.25) (0.38) 3.06 3.78 D2 = 0.75*Topology, Errorvar.= 1.44 , Rý = 0.28 (0.25) (0.38)

  D3 = 0.61*Topology, Errorvar.= 1.63 , Rý = 0.18 (0.25) (0.38) 2.45 4.29 D4 = 0.36*Topology, Errorvar.= 1.87 , Rý = 0.064 (0.25) (0.39) 1.42 4.75 D5 = 0.50*Topology, Errorvar.= 1.75 , Rý = 0.13 (0.25) (0.39) 2.02 4.53 D6 = 0.35*Topology, Errorvar.= 1.88 , Rý = 0.062 (0.25) (0.39) 1.40 4.76

  D7 = 0.081*Topology, Errorvar.= 1.99 , Rý = 0.0033 (0.25) (0.40) 0.32 4.94 D8 = 0.28*Topology, Errorvar.= 1.92 , Rý = 0.041 (0.25) (0.40) 1.13 4.83 D9 = 0.47*Topology, Errorvar.= 1.78 , Rý = 0.11 (0.25) (0.39) 1.86 4.60 D10 = 0.21*Topology, Errorvar.= 1.96 , Rý = 0.021 (0.25) (0.40) 0.81 4.89 Correlation Matrix of Independent Variables Series Classifi Matrices Topology

  • Series 1.00 Classifi 0.48 1.00 (0.20)

  2.45 Matrices 0.79 0.41 1.00 (0.18) (0.20) 4.34 1.98 Topology 0.38 0.41 0.45 1.00 (0.23) (0.20) (0.22) 1.67 2.08 2.06

  Goodness of Fit Statistics Degrees of Freedom = 1169 Minimum Fit Function Chi-Square = 91.81 (P = 1.00) Normal Theory Weighted Least Squares Chi-Square = 93.13 (P = 1.00) Estimated Non-centrality Parameter (NCP) = 0.0

  90 Percent Confidence Interval for NCP = (0.0 ; 0.0)

  90 Percent Confidence Interval for F0 = (0.0 ; 0.0) Root Mean Square Error of Approximation (RMSEA) = 0.0

  90 Percent Confidence Interval for RMSEA = (0.0 ; 0.0) P-Value for Test of Close Fit (RMSEA < 0.05) = 1.00 Expected Cross-Validation Index (ECVI) = 28.18

  90 Percent Confidence Interval for ECVI = (28.18 ; 28.18) ECVI for Saturated Model = 52.04 ECVI for Independence Model = 6.38 Chi-Square for Independence Model with 1225 Degrees of Freedom = 212.55 Independence AIC = 312.55 Model AIC = 305.13 Saturated AIC = 2550.00 Independence CAIC = 458.16 Model CAIC = 613.80 Saturated CAIC = 6262.83 Root Mean Square Residual (RMR) = 0.076 Standardized RMR = 0.038 Goodness of Fit Index (GFI) = 0.93 Adjusted Goodness of Fit Index (AGFI) = 0.92 Parsimony Goodness of Fit Index (PGFI) = 0.85 Normed Fit Index (NFI) = 0.57 Non-Normed Fit Index (NNFI) = -0.11 Parsimony Normed Fit Index (PNFI) = 0.54 Incremental Fit Index (IFI) = -0.13 Relative Fit Index (RFI) = 0.55 Critical N (CN) = 686.48 The Problem used 303440 Bytes (= 0.5% of Available Workspace) Time used: 3.563 Seconds

  Output Iteman Version 3.00 MicroCAT Testing

  SUBTES 1 MicroCAT (tm) Testing System Copyright (c) 1982, 1984, 1986, 1988 by Assessment Systems Corporation

  Item and Test Analysis Program -- ITEMAN (tm) Version 3.00 Item analysis for data from file subtes1.dat Page 1 Item Statistics Alternative Statistics

  • Seq. Scale Prop. Point Prop. Point No. -Item Correct Biser. Biser. Alt. Endorsing Biser. Biser. Key ---- ----- ------- ------ ------ ----- --------- ------ ------ --- 1 0-1 0.912 0.623 0.351 1 0.912 0.623 0.351 * 2 0.000 -9.000 -9.000 Other 0.088 -0.623 -0.351 2 0-2 0.874 0.380 0.237 1 0.874 0.380 0.237 * 2 0.000 -9.000 -9.000 Other 0.126 -0.380 -0.237 3 0-3 0.861 0.666 0.427 1 0.861 0.666 0.427 * 2 0.000 -9.000 -9.000 Other 0.139 -0.666 -0.427 4 0-4 0.893 0.658 0.393 1 0.893 0.658 0.393 * 2 0.000 -9.000 -9.000 Other 0.107 -0.658 -0.393

  5 0-5 0.768 0.644 0.465 1 0.768 0.644 0.465 * 2 0.000 -9.000 -9.000 Other 0.232 -0.644 -0.465 2 0.000 -9.000 -9.000 Other 0.404 -0.669 -0.528 7 0-7 0.672 0.659 0.507 1 0.672 0.659 0.507 *

  2 0.000 -9.000 -9.000 Other 0.328 -0.659 -0.507 8 0-8 0.378 0.623 0.489 1 0.378 0.623 0.489 * 2 0.000 -9.000 -9.000

  Other 0.622 -0.623 -0.489 9 0-9 0.187 0.564 0.389 1 0.187 0.564 0.389 * 2 0.000 -9.000 -9.000 Other 0.813 -0.564 -0.389

  10 0-10 0.185 0.438 0.301 1 0.185 0.438 0.301 * 2 0.000 -9.000 -9.000 Other 0.815 -0.438 -0.301 11 0-11 0.118 0.387 0.237 1 0.118 0.387 0.237 *

  2 0.000 -9.000 -9.000

  Other 0.882 -0.387 -0.237 MicroCAT (tm) Testing System Copyright (c) 1982, 1984, 1986, 1988 by Assessment Systems Corporation Item and Test Analysis Program -- ITEMAN (tm) Version 3.00

  Item analysis for data from file subtes1.dat Page 2 Item Statistics Alternative Statistics

  • Seq. Scale Prop. Point Prop. Point No. -Item Correct Biser. Biser. Alt. Endorsing Biser. Biser. Key ---- ----- ------- ------ ------ ----- --------- ------ ------ --- 12 0-12 0.110 0.376 0.226 1 0.110 0.376 0.226 * 2 0.000 -9.000 -9.000 Other 0.890 -0.376 -0.226 13 0-13 0.044 0.178 0.081 1 0.044 0.178 0.081 * 2 0.000 -9.000 -9.000 Other 0.956 -0.178 -0.081 MicroCAT (tm) Testing System Copyright (c) 1982, 1984, 1986, 1988 by Assessment Systems Corporation Item and Test Analysis Program -- ITEMAN (tm) Version 3.00 Item analysis for data from file subtes1.dat Page 3

  There were 1623 examinees in the data file.

  Scale Statistics

  • Scale: 0
    • N of Items 13 N of Examinees 1623 Mean 6.598 Variance 3.279 Std. Dev. 1.811

  Skew -0.400 Kurtosis 0.477 Minimum 0.000 Maximum 12.000

  Median 7.000 Alpha 0.479 SEM 1.307 Mean P 0.508

  Mean Item-Tot. 0.356 Mean Biserial 0.528

  SUBTES 2 MicroCAT (tm) Testing System Copyright (c) 1982, 1984, 1986, 1988 by Assessment Systems Corporation

  Item and Test Analysis Program -- ITEMAN (tm) Version 3.00 Item analysis for data from file sub2.dat Page 1 Item Statistics Alternative Statistics

  • Seq. Scale Prop. Point Prop. Point No. -Item Correct Biser. Biser. Alt. Endorsing Biser. Biser. Key ---- ----- ------- ------ ------ ----- --------- ------ ------ --- 1 0-1 0.814 0.753 0.518 1 0.814 0.753 0.518 * 2 0.000 -9.000 -9.000 Other 0.186 -0.753 -0.518 2 0-2 0.738 0.737 0.546 1 0.738 0.737 0.546 * 2 0.000 -9.000 -9.000 Other 0.262 -0.737 -0.546 3 0-3 0.793 0.805 0.568 1 0.793 0.805 0.568 * 2 0.000 -9.000 -9.000 Other 0.207 -0.805 -0.568 4 0-4 0.584 0.599 0.474 1 0.584 0.599 0.474 * 2 0.000 -9.000 -9.000 Other 0.416 -0.599 -0.474

  5 0-5 0.705 0.661 0.500 1 0.705 0.661 0.500 * 2 0.000 -9.000 -9.000 Other 0.295 -0.661 -0.500 6 0-6 0.763 0.630 0.457 1 0.763 0.630 0.457 * Other 0.237 -0.630 -0.457 7 0-7 0.675 0.151 0.116 1 0.675 0.151 0.116 *

  2 0.001 0.056 0.005 Other 0.325 -0.151 -0.116 8 0-8 0.453 0.459 0.365 1 0.453 0.459 0.365 * 2 0.000 -9.000 -9.000

  Other 0.547 -0.459 -0.365 9 0-9 0.219 0.542 0.387 1 0.219 0.542 0.387 * 2 0.000 -9.000 -9.000 Other 0.781 -0.542 -0.387

  10 0-10 0.222 0.178 0.128 1 0.222 0.178 0.128 * 2 0.000 -9.000 -9.000 Other 0.778 -0.178 -0.128 11 0-11 0.216 0.608 0.433 1 0.216 0.608 0.433 *

  2 0.000 -9.000 -9.000 Other 0.784 -0.608 -0.433

  MicroCAT (tm) Testing System Copyright (c) 1982, 1984, 1986, 1988 by Assessment Systems Corporation Item and Test Analysis Program -- ITEMAN (tm) Version 3.00 Item analysis for data from file sub2.dat Page 2

  Item Statistics Alternative Statistics

  • Seq. Scale Prop. Point Prop. Point No. -Item Correct Biser. Biser. Alt. Endorsing Biser. Biser. Key ---- ----- ------- ------ ------ ----- --------- ------ ------ --- 12 0-12 0.182 0.412 0.282 1 0.182 0.412 0.282 * 2 0.000 -9.000 -9.000 Other 0.818 -0.412 -0.282 13 0-13 0.165 0.414 0.277 1 0.165 0.414 0.277 * 2 0.000 -9.000 -9.000 Other 0.835 -0.414 -0.277 14 0-14 0.043 0.105 0.047 1 0.043 0.105 0.047 * 2 0.000 -9.000 -9.000 Other 0.957 -0.105 -0.047 MicroCAT (tm) Testing System

  Copyright (c) 1982, 1984, 1986, 1988 by Assessment Systems Corporation Item and Test Analysis Program -- ITEMAN (tm) Version 3.00 Item analysis for data from file sub2.dat Page 3 There were 1623 examinees in the data file.

  Scale Statistics

  • Scale: 0
    • N of Items 14 N of Examinees 1623 Mean 6.572 Variance 4.738 Std. Dev. 2.177

  Skew -0.441 Kurtosis 0.079 Minimum 0.000 Maximum 12.000

  Median 7.000 Alpha 0.520 SEM 1.508 Mean P 0.469

  Mean Item-Tot. 0.364 Mean Biserial 0.504

  SUBTES 3 MicroCAT (tm) Testing System Copyright (c) 1982, 1984, 1986, 1988 by Assessment Systems Corporation

  Item and Test Analysis Program -- ITEMAN (tm) Version 3.00 Item analysis for data from file subtes3.dat Page 1 Item Statistics Alternative Statistics

  • Seq. Scale Prop. Point Prop. Point No. -Item Correct Biser. Biser. Alt. Endorsing Biser. Biser. Key ---- ----- ------- ------ ------ ----- --------- ------ ------ --- 1 0-1 0.931 0.673 0.352 1 0.931 0.673 0.352 * 2 0.000 -9.000 -9.000 Other 0.069 -0.673 -0.352 2 0-2 0.807 0.750 0.521 1 0.807 0.750 0.521 * 2 0.000 -9.000 -9.000 Other 0.193 -0.750 -0.521 3 0-3 0.842 0.669 0.443 1 0.842 0.669 0.443 * 2 0.000 -9.000 -9.000 Other 0.158 -0.669 -0.443 4 0-4 0.559 0.567 0.450 1 0.559 0.567 0.450 * 2 0.000 -9.000 -9.000 Other 0.441 -0.567 -0.450

  5 0-5 0.136 0.502 0.319 1 0.136 0.502 0.319 * 2 0.000 -9.000 -9.000 Other 0.864 -0.502 -0.319 6 0-6 0.861 0.662 0.424 1 0.861 0.662 0.424 * Other 0.139 -0.662 -0.424 7 0-7 0.591 0.615 0.486 1 0.591 0.615 0.486 *

  2 0.000 -9.000 -9.000 Other 0.409 -0.615 -0.486 8 0-8 0.456 0.475 0.378 1 0.456 0.475 0.378 * 2 0.000 -9.000 -9.000

  Other 0.544 -0.475 -0.378 9 0-9 0.168 0.268 0.180 1 0.168 0.268 0.180 * 2 0.000 -9.000 -9.000 Other 0.832 -0.268 -0.180

  10 0-10 0.057 0.311 0.154 1 0.057 0.311 0.154 * 2 0.000 -9.000 -9.000 Other 0.943 -0.311 -0.154 11 0-11 0.070 0.390 0.205 1 0.070 0.390 0.205 *

  2 0.000 -9.000 -9.000 Other 0.930 -0.390 -0.205

  MicroCAT (tm) Testing System Copyright (c) 1982, 1984, 1986, 1988 by Assessment Systems Corporation Item and Test Analysis Program -- ITEMAN (tm) Version 3.00 Item analysis for data from file subtes3.dat Page 2

  Item Statistics Alternative Statistics

  • Seq. Scale Prop. Point Prop. Point No. -Item Correct Biser. Biser. Alt. Endorsing Biser. Biser. Key ---- ----- ------- ------ ------ ----- --------- ------ ------ --- 12 0-12 0.068 0.251 0.131 1 0.068 0.251 0.131 * 2 0.000 -9.000 -9.000 Other 0.932 -0.251 -0.131 13 0-13 0.063 0.059 0.030 1 0.063 0.059 0.030 * 2 0.000 -9.000 -9.000 Other 0.937 -0.059 -0.030 MicroCAT (tm) Testing System Copyright (c) 1982, 1984, 1986, 1988 by Assessment Systems Corporation Item and Test Analysis Program -- ITEMAN (tm) Version 3.00 Item analysis for data from file subtes3.dat Page 3

  There were 1623 examinees in the data file.

  Scale Statistics

  • Scale: 0
    • N of Items 13 N of Examinees 1623 Mean 5.608 Variance 2.431 Std. Dev. 1.559

  Skew -0.484 Kurtosis 0.231 Minimum 0.000 Maximum 10.000

  Median 6.000 Alpha 0.322 SEM 1.284 Mean P 0.431

  Mean Item-Tot. 0.313 Mean Biserial 0.476

  SUBTES 4 MicroCAT (tm) Testing System

Copyright (c) 1982, 1984, 1986, 1988 by Assessment Systems Corporation

  Item and Test Analysis Program -- ITEMAN (tm) Version 3.00

Item analysis for data from file subtes4.dat Page 1

Item Statistics Alternative Statistics

  • Seq. Scale Prop. Point Prop. Point

    No. -Item Correct Biser. Biser. Alt. Endorsing Biser. Biser. Key

    ---- ----- ------- ------ ------ ----- --------- ------ ------ ---

    1 0-1 0.801 0.732 0.511 1 0.801 0.732 0.511 *

    2 0.000 -9.000 -9.000

    Other 0.199 -0.732 -0.511

    2 0-2 0.891 0.761 0.456 1 0.891 0.761 0.456 *

    2 0.000 -9.000 -9.000

    Other 0.109 -0.761 -0.456

    3 0-3 0.466 0.676 0.539 1 0.466 0.676 0.539 *

    2 0.000 -9.000 -9.000

    Other 0.534 -0.676 -0.539

    4 0-4 0.287 0.578 0.435 1 0.287 0.578 0.435 *

    2 0.000 -9.000 -9.000

    Other 0.713 -0.578 -0.435

  5 0-5 0.393 0.616 0.485 1 0.393 0.616 0.485 *

2 0.000 -9.000 -9.000

Other 0.607 -0.616 -0.485

2 0.000 -9.000 -9.000

Other 0.668 -0.578 -0.446

7 0-7 0.288 0.392 0.296 1 0.288 0.392 0.296 *

  

2 0.000 -9.000 -9.000

Other 0.712 -0.392 -0.296

8 0-8 0.294 0.509 0.385 1 0.294 0.509 0.385 *

2 0.000 -9.000 -9.000

  

Other 0.706 -0.509 -0.385

9 0-9 0.286 0.617 0.465 1 0.286 0.617 0.465 *

2 0.000 -9.000 -9.000

Other 0.714 -0.617 -0.465

  10 0-10 0.213 0.446 0.316 1 0.213 0.446 0.316 *

2 0.000 -9.000 -9.000

Other 0.787 -0.446 -0.316

MicroCAT (tm) Testing System

  

Copyright (c) 1982, 1984, 1986, 1988 by Assessment Systems Corporation

  Item and Test Analysis Program -- ITEMAN (tm) Version 3.00 Item analysis for data from file subtes4.dat Page 2 There were 1623 examinees in the data file.

  Scale Statistics

  • Scale: 0
    • N of Items 10 N of Examinees 1623 Mean 4.251 Variance 3.637 Std. Dev. 1.907

  Skew 0.143 Kurtosis -0.167 Minimum 0.000 Maximum 10.000

  Median 4.000 Alpha 0.514 SEM 1.329 Mean P 0.425

  Mean Item-Tot. 0.433 Mean Biserial 0.591