Bannatyne Category Verbal Conceptualization Spatial Sequential Acquired Knowledge in .NET

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at least 7 points are needed for significance, and at the .01 level at least 9 points are necessary. All of the deviations are clearly significant at the .01 level, although the .05 level provides ample significance for most interpretive purposes. Thus, Brandon (who had suffered right-hemisphere damage due to a stroke) displays relative strengths in both Verbal Conceptualization Ability and Acquired Knowledge, and relative weaknesses in Spatial Ability and Sequential Ability. Analogous steps to the six shown here can be used to
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determine a person s relative strengths and weaknesses among the factor scores of the three Horn groupings.
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To perform more in-depth analysis of how a client is performing within any of the cvcvHorn or Bannatyne categories, compare the person s subtest scaled score on each subtest in a particular cluster
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Computing standard scores on Horn s WAIS-III categories and determining significant strengths and weaknesses on the five categories (Developed by A. S. Kaufman and E. O. Lichtenberger) Instructions for Calculating Horn Standard Scores Step 1. Enter the person s scaled score for each subtest in the appropriate column. Step 2. Sum the first four columns, entering each sum on the relevant line. Step 3. Multiply each sum by the value indicated for each category. Enter each product (to the nearest tenth). Step 4. Add the product to the constant indicated for each category. Enter this sum on the relevant line. These values equal the person s standard scores (M = 100, SD = 15) on the four categories. Step 5. Round each standard score to the nearest whole number. Step 6. Transfer the Working Memory Index score from the record form to the Short-Term Memory standard score. Examinee s Name: _________________________ WAIS-III Subtest Verbal Vocabulary Similarities Arithmetic Digit Span Information Comprehension Letter-Number Seq. Performance Picture Completion Digit Symbol-Coding Block Design Matrix Reasoning Picture Arrangement Symbol Search Object Assembly Crystallized Fluid Date: ___________________________ Broad Broad Short-Term Visualization Speediness Memory
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Instructions for Calculating Strengths and Weaknesses of Horn Standard Scores Step 1. Enter the person s standard score for each of the four Horn categories in the appropriate column and transfer the Working Memory Index (WMI) to the Horn Short-Term Memory standard score. Step 2. Compute the mean of the five standard scores, rounding the mean to the nearest whole number. Step 3. Subtract the person s mean score from each of the four standard scores. Enter the difference scores in the column headed Difference. Use negative signs to denote scores below the person s mean. Step 4. Determine whether each difference is significant at the .05 level using the values provided. Differences that equal or exceed these values are significant strengths or weaknesses for the person. Step 5. Enter an S or W in the column provided to denote significance. Examinee s Name _________________________________ Date: ________________________ Size of Difference Needed for Significance Difference ______ ______ ______ ______ ______ ( p < .05) 7 8 9 11 8 (p < .01) 9 9 10 13 10 S or W ______ ______ ______ ______ ______
Horn Category Crystallized Fluid Broad Visualization Broad Speediness Short-Term Memory (= WMI)
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to that person s mean scaled score on all of the cluster subtests; enter the difference scores into Table 11.17 (Horn) or Table 11.18 (Bannatyne) to determine if they are significant. For example, to determine if a client s performance on the Information subtest is significantly different from his or her own mean performance on the Crystallized cluster, calculate the mean subtest scaled score for the Crystallized cluster (i.e., the aver-
age of the 5 Crystallized subtests) and subtract that from the Information subtest scaled score. The values in Table 11.17 inform us that a 2point discrepancy between the mean Crystallized subtest scaled score and the Information subtest is necessary for significance at the .05 level and a 3-point (2.6 rounded up) discrepancy is needed for significance at the .01 level. Similar subtest-cluster discrepancies can be calculated