ࡱ> dfc bjbj>> pTpTz-rrT   tL >       $*//III I III0FO+iI0>I'"II]I//I>r : Table 1 Intercorrelation Matrices and Descriptive Statistics for Kaufman Assessment Battery for Children-Second Edition (KABC-II) CHC Model Core Subtests for Ages 7-18 (N = 1,209) Ages 7-12 (n = 694) Variable RI VK NR WO AT RL RO TR SC PR Riddles (RI) - Verbal Knowledge (VK) .73 - Number Recall (NR) .24 .20 - Word Order (WO) .25 .20 .57 - Atlantis (AT) .36 .29 .10 .10 - Rebus (RL) .42 .37 .14 .17 .56 - Rover (RO) .29 .22 .11 .16 .15 .26 - Triangles (TR) .37 .35 .15 .14 .22 .27 .45 - Story Completion (SC) .42 .46 .12 .17 .22 .33 .21 .35 - Pattern Reasoning (PR) .44 .48 .18 .24 .27 .36 .35 .43 .49 - M 10.22 10.18 10.39 10.11 10.20 10.39 10.24 10.06 10.24 10.11 SD 3.18 3.13 3.01 3.00 3.25 3.32 3.01 3.00 3.15 3.02 SK 0.04 0.00 0.00 0.39 -0.26 -0.14 -0.04 -0.03 0.02 -0.06 K - 0.41 -0.19 -0.12 0.16 0.36 -0.04 -0.22 -0.26 -0.22 -0.27 Ages 13-18 (n = 515) Variable RI VK NR WO AT RL RO BC SC PR Riddles (RI) - Verbal Knowledge (VK) .78 - Number Recall (NR) .22 .21 - Word Order (WO) .30 .24 .59 - Atlantis (AT) .35 .31 .12 .20 - Rebus (RL) .41 .39 .12 .22 .56 - Rover (RO) .19 .21 .08 .21 .13 .29 - Block Counting (BC) .28 .29 .11 .20 .11 .27 .45 - Story Completion (SC) .40 .40 .05 .11 .13 .37 .22 .26 - Pattern Reasoning (PR) .40 .42 .21 .22 .23 .42 .36 .40 .48 - M 10.44 10.12 10.18 10.12 9.97 10.37 10.21 10.17 10.30 10.30 SD 3.15 3.12 3.07 3.05 3.34 2.99 3.24 3.18 3.10 3.06 SK -0.18 0.11 -0.08 0.11 -0.02 -0.33 -0.11 -0.02 0.03 -0.17 K -0.39 -0.21 -0.29 -0.29 -0.19 -0.01 -0.22 -0.25 -0.28 0.43 Note. Values rounded to nearest hundredth. All coefficients were statistically significant (p < .01, two-tailed). SK = Skewness. K = Kurtosis. Table 2 KABC-II Exploratory Factor Analysis Results for Standardization Sample Ages 7-12 with Significant Score Variability (N = 694) Five Oblique Factor Solution Factor Pattern Coefficients Factor Structure Coefficients Subtest g F1 F2 F3 F4 F5 F1 F2 F3 F4 F5 Riddles .809 .807 .071 .035 .073 -.090 .838 .529 .344 .503 .589 Verbal Knowledge .788 .809 -.051 -.027 -.060 .139 .836 .452 .285 .452 .637 Number Recall .296 .038 -.009 .718 -.013 -.048 .256 .162 .709 .206 .209 Word Order .322 -.037 -.002 .722 .002 .048 .262 .186 .725 .251 .267 Atlantis .446 .012 .726 -.023 -.027 -.041 .374 .692 .142 .298 .337 Rebus .547 -.009 .700 .016 .022 .068 .458 .747 .220 .413 .465 Rover .401 -.025 .004 .008 .687 -.088 .298 .279 .195 .615 .382 Triangles .520 .038 -.023 -.031 .604 .101 .420 .341 .210 .675 .530 Story Completion .584 .106 .005 -.025 -.065 .633 .516 .373 .209 .434 .658 Pattern Reasoning .635 .015 .019 .042 .165 .559 .532 .424 .297 .590 .711 Eigenvalue 3.78 1.38 1.09 0.95 0.70 Variance (%) 37.83 13.79 10.86 9.49 6.95 Factor Correlation Matrix F1 1.00 F2 .57 1.00 F3 .37 .25 1.00 F4 .55 .49 .33 1.00 F5 .71 .55 .34 .70 1.00 Note. Salient factor pattern loadings (e.g., e" .30) are denoted in bold. g = general intelligence. Factor structure coefficients from first un-rotated factor (g-loadings) are correlations between subtest and general factor (Jensen, 1980). Table 3 Sources of Variance in the Kaufman Assessment Battery for Children-Second Edition (KABC-II) Normative Sample for Ages 7-12 with Significant Score Variability (N = 694) According to an Orthogonalized Higher-Order Factor Model General F1: Gc F2: Glr F3: Gsm F4: Gv F5: Gf Subtest b Var b Var b Var b Var b Var b Var h u Riddles .690 .476 .473 .224 .054 .003 .032 .001 .048 .002 -.043 .002 .708 .292 Verbal Knowledge .688 .473 .474 .225 -.039 .002 -.025 .001 -.040 .002 .066 .004 .706 .294 Number Recall .272 .074 .022 .000 -.007 .000 .653 .426 -.009 .000 -.023 .001 .502 .498 Word Order .313 .098 -.022 .000 -.002 .000 .657 .432 .001 .000 .023 .001 .531 .469 Atlantis .418 .175 .007 .000 .550 .303 -.021 .000 -.018 .000 -.019 .000 .478 .522 Rebus .533 .284 -.005 .000 .530 .281 .015 .000 .015 .000 .032 .001 .566 .434 Rover .423 .179 -.015 .000 .003 .000 .007 .000 .454 .206 -.042 .002 .387 .613 Triangles .545 .297 .022 .000 -.017 .000 -.028 .001 .399 .159 .048 .002 .460 .540 Story Completion .588 .346 .062 .004 .004 .000 -.023 .001 -.043 .002 .299 .089 .441 .559 Pattern Reasoning .658 .433 .009 .000 .014 .000 .038 .001 .109 .012 .264 .070 .516 .484 % Total Variance 28.3 4.5 5.9 8.6 3.8 1.7 53.0 47.0 %Common Variance 58.5 8.6 11.1 16.3 7.2 3.2 100.0 wh = .733 ws = .264 ws = .385 ws = .567 ws = .258 ws = .108 Note. b = standardized loading of subtest on factor, Var = variance (b) explained in the subtest, h = communality, u = uniqueness, Gc = Crystallized Ability, Gsm = Short-Term Memory, Glr = Long-Term Storage and Retrieval, Gv = Visual Processing, Gf = Fluid Reasoning. Bold denotes loadings on theoretically assigned latent dimension. wh = Omega hierarchical, ws = Omega subscale. Table 4 KABC-II Exploratory Factor Analysis Results for Standardization Sample Ages 13-18 with Significant Score Variability (N = 515) Five Oblique Factor Solution Factor Pattern Coefficients Factor Structure Coefficients Subtest g F1 F2 F3 F4 F5 F1 F2 F3 F4 F5 Riddles .745 .831 .026 .056 -.006 .005 .871 .358 .509 .382 .557 Verbal Knowledge .726 .828 -.018 -.013 .018 .056 .856 .314 .464 .393 .572 Number Recall .317 -.010 .764 -.051 -.097 .052 .245 .724 .173 .179 .156 Word Order .416 .016 .720 .053 .091 -.078 .307 .754 .286 .320 .217 Atlantis .449 .067 .006 .755 -.049 -.148 .362 .215 .689 .214 .287 Rebus .634 -.053 -.022 .675 .045 .196 .441 .241 .770 .447 .568 Rover .420 -.053 -.016 .034 .678 -.042 .219 .201 .276 .636 .403 Block Counting .471 .075 -.019 -.072 .660 .001 .309 .218 .254 .654 .453 Story Completion .527 .092 -.057 -.052 -.067 .682 .439 .121 .333 .394 .648 Pattern Reasoning .652 -.013 .088 .007 .161 .579 .453 .298 .425 .585 .708 Eigenvalue 3.69 1.39 1.20 0.99 0.75 Variance (%) 36.86 13.85 12.02 9.88 7.47 Factor Correlation Matrix F1 1.00 F2 .38 1.00 F3 .54 .32 1.00 F4 .42 .35 .44 1.00 F5 .62 .30 .56 .68 1.00 Note. Salient factor pattern loadings (e.g., e" .30) are denoted in bold. g = general intelligence. Factor structure coefficients from first un-rotated factor (g-loadings) are correlations between subtest and general factor (Jensen, 1980). Table 5 Sources of Variance in the Kaufman Assessment Battery for Children-Second Edition (KABC-II) Normative Sample for Ages 13-18 with Significant Score Variability (N = 515) According to an Orthogonalized Higher-Order Factor Model General F1: Gc F2: Gsm F3: Glr F4: Gv F5: Gf Subtest b Var b Var b Var b Var b Var b Var h u Riddles .651 .424 .573 .328 .023 .001 .041 .002 -.004 .000 .003 .000 .754 .246 Verbal Knowledge .643 .413 .571 .326 -.016 .000 -.010 .000 .013 .000 .029 .001 .741 .259 Number Recall .268 .072 -.007 .000 .687 .472 -.037 .001 -.069 .005 .027 .001 .551 .449 Word Order .360 .130 .011 .000 .648 .420 .039 .002 .065 .004 -.040 .002 .557 .443 Atlantis .403 .162 .046 .002 .005 .000 .554 .307 -.035 .001 -.077 .006 .479 .521 Rebus .610 .372 -.037 .001 -.020 .000 .496 .246 .032 .001 .101 .010 .631 .369 Rover .419 .176 -.037 .001 -.014 .000 .025 .001 .482 .232 -.022 .000 .411 .589 Block Counting .463 .214 .052 .003 -.017 .000 -.053 .003 .469 .220 .001 .000 .440 .560 Story Completion .543 .295 .063 .004 -.051 .003 -.038 .001 -.048 .002 .353 .125 .430 .570 Pattern Reasoning .643 .413 -.009 .000 .079 .006 .005 .000 .114 .013 .300 .090 .523 .477 % Total Variance 26.7 6.7 9.0 5.6 4.8 2.3 55.2 44.8 %Common Variance 48.4 12.1 16.4 10.2 8.7 4.2 100.0 wh = .713 ws = .375 ws = .578 ws = .363 ws = .318 ws = .147 Note. b = standardized loading of subtest on factor, Var = variance (b) explained in the subtest, h = communality, u = uniqueness, Gc = Crystallized Ability, Gsm = Short-Term Memory, Glr = Long-Term Storage and Retrieval, Gv = Visual Processing, Gf = Fluid Reasoning. Bold denotes loadings on theoretically assigned latent dimension. wh = Omega hierarchical, ws = Omega subscale. 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FCI = Fluid-Crystallized Index score. CHC = Cattell-Horn-Carroll factor scores. All coefficients rounded to nearest hundredth, may not equate due to rounding. CDegrees of freedom reflects controlling for the effects of the FCI. GRepresents proportion of variance accounted for by variables at their entry point into regression equation. 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