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Confidence Interval Cluster General Ability Index (GAI) Fluid Reasoning (Gf ) Visual Processing (Gv) Nonverbal Fluid Reasoning (Gf-nonverbal) Verbal Fluid Reasoning (Gf-verbal) Lexical Knowledge (Gc-LK) General Information (Gc-K0) Long-Term Memory (Gc-LTM) Short-Term Memory (Gsm-WM) .91 4.48 7.36 8.77 .95 3.18 5.23 6.24 .93 4.07 6.69 7.97 .94 3.66 6.03 7.18 .91 4.45 7.32 8.72 .88 5.20 8.55 10.18 Reliability .97 .92 .90 SEM 2.70 4.23 4.79 90% 4.44 6.96 7.88 95% 5.29 8.29 9.39

NOTE: Values for reliability and SEM of the GAI are from Tulsky, Saklofske, Wilkins, and Weiss (2001). All other values were computed by the authors.

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cluster from the perspective of CHC theory. Table A.6 also shows the six Planned Clinical Comparisons that are made as part of Step 7. Object Assembly, a supplementary WAIS-III subtest that does not contribute either to FS-IQ or the four Indexes, is excluded from the clinical clusters. Table A.7 provides internal consistency reliability coefficients, standard errors of measurement (SEMs), and confidence intervals (90% and 95%) for each clinical cluster for the overall WAIS-III standardization sample. Values are also shown for the GAI (Step 2). Step 7a. Prior to conducting clinical comparisons, you must first determine whether the clusters in the comparison represent unitary abilities. To do this, compute the difference between the highest and lowest scaled scores that make up the clinical cluster. Answer the following question: Is the size of the scaled score difference less than 5 (i.e., 1.5 SDs) If Yes, then the clinical cluster represents a unitary ability and the clinical comparison that includes this cluster may be made only if the other cluster in the comparison also represents a unitary ability. Proceed to Step 7b. If No, then the clinical cluster does not represent a unitary ability and the clinical comparisons that include this cluster should not be made. Step 7b. Calculate standard score of the clinical cluster by summing the scaled scores for the two subtests that comprise the clinical cluster and converting the sum to a standard score using the norms in Appendix C. Step 7c. Determine whether the size of the difference between the clusters in the comparison is unusually large or uncommon, occurring less than 10% of the time in the WAIS-III standardization sam-

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Size of Difference between Pairs of Clinical Clusters Needed to Be Considered Unusually Large or Uncommon Amount of Difference 21 21 21

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Cluster Comparison Fluid Reasoning (Gf ) Visual Processing (Gv) Nonverbal Fluid Reasoning (Gfnonverbal) Visual Processing (Gv) Verbal Fluid Reasoning (Gf-verbal) Nonverbal Fluid Reasoning (Gfnonverbal) Lexical Knowledge (Gc-LK) General Information (Gc-K0) Long-Term Memory (Gc-LTM) Short-Term Memory (Gsm-WM) Long-Term Memory (Gc-LTM) Verbal Fluid Reasoning (Gf-verbal)

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NOTE: Unusually large or uncommon denotes differences estimated to occur less than 10% of the time in the WAIS-III standardization sample. The differences in this table were estimated by the formula provided by Sattler (1982, Table C11) for computing the percentage of a population obtaining discrepancies between two standard scores. This formula includes the correlation between the two standard scores, which had to be estimated for each pair of clusters from pertinent intercorrelations reported for the overall WAIS-III standardization sample (The Psychological Corporation, 1997, Table 4.12) for example, the correlation between Nonverbal Fluid Reasoning (Gf-nonverbal) and Visual Processing (Gv) was estimated mainly from the correlation between Matrix Reasoning and POI (corrected for overlap in content); the correlation between Lexical Knowledge (GcLK) and General Information (Gc-K0) was estimated mainly from the correlation between Information and VCI (corrected for overlap in content); and so forth.

ple. To do this, calculate the difference between the clusters in the comparison. If the size of the difference is equal to or greater than the value reported for the comparison in Table A.8, then the difference is uncommon. If the size of the difference between the two clusters in the comparison is less than the table value, then the difference is not uncommon. Specifically, a comparison between two interpretable clinical clusters can have either one of two outcomes:

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c# remove text from pdf

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itextsharp remove text from pdf c#

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c# remove text from pdf

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