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

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LAMPIRAN I

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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 C11 C12 C13 D1 D2 D3 D4 D5 D6 D7 D8 D9 D10

Path Diagram Iterations = 250

Method of Estimation: Maximum Likelihood End of Problem

Sample Size = 50

cfit cfa

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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

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 D10 0.03 0.09 0.09 0.03 0.02 0.15

D9 D10 --- --- D9 2.00

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D7 = 0.081*Topology, Errorvar.= 1.99 , Rý = 0.0033 (0.25) (0.40)

0.32 4.94

1.13 4.83

1.86 4.60

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)

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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)

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LAMPIRAN II

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SUBTES 1

MicroCAT (tm) Testing System

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

6 0-6 0.596 0.669 0.528 1 0.596 0.669 0.528 * 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

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Other 0.882 -0.387 -0.237

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

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

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

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Item analysis for data from file sub2.dat Page 2

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

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

Item analysis for data from file sub2.dat Page 3

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SUBTES 3

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

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 * 2 0.000 -9.000 -9.000 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

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

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

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SUBTES 4

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

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

6 0-6 0.332 0.578 0.446 1 0.332 0.578 0.446 * 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

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Mean 4.251 Variance 3.637 Std. Dev. 1.907 Skew 0.143 Kurtosis -0.167 Minimum 0.000 Maximum 10.000