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With each cluster of subtests listed are the splithalf reliabilities and test-retest reliabilities. These values are based on the average reliabilities presented in the WAIS-III manual and on the average intercorrelations among subtests in each cluster. The formula for a composite was applied (Tellegen & Briggs, 1967). The testretest and split-half reliabilities differ for most clusters; thus, both are provided. In general, clusters with reliability coefficients of .85 or above represent stable enough abilities or traits to support confident interpretation and the infrequent coefficients of .75 to .84 require more cautious interpretation. The reliability coefficients for most subtest combinations in Table 12.3 are quite outstanding, with numerous values at or above .95. The coefficients for adults dipped below .85 only for one performance dyad: planning ability.

p 0 is true, SSR 2 is a chi-square random variable with k Now if H0: 1 2 k degrees of freedom. Note that the number of degrees of freedom for this chi-square random variable is equal to the number of regressor variables in the model. We can also show the SSE 2 is a chi-square random variable with n p degrees of freedom, and that SSE and SSR p 0 is are independent. The test statistic for H0: 1 2 k

L. Rising: The Pattern Almanac 2000, Addison-Wesley, 2000 S. Romanosky: Enterprise Security Patterns, in Proceedings of EuroPLoP, 2002

(12-18)

Table 12.3 shows how different abilities overlap in various subtests. Now, you ask, what do you do with all that information Here we provide you with a sequential guide to generate hypotheses.

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We should reject H0 if the computed value of the test statistic in Equation 12-18, f0, is greater than f ,k,n p. The procedure is usually summarized in an analysis of variance table such as Table 12-9. We can find a computing formula for SSE as follows: SSE Substituting e y

I S V C PC A PC I S V D LN PC PC PC I I S C S I I A S V V Cd C C C D LN PC PC S I I S S A A V V V C PA PA PA PC Cd Cd PA BD OA S A A A V V V C PC PA BD BD OA Cd Cd PA PA PA BD BD OA A C D LN Cd OA PA PA S

(12-19)

[RSC+02]

Table 12-9 Analysis of Variance for Testing Significance of Regression in Multiple Regression Source of Variation Regression Error or residual Total Sum of Squares SSR SSE SST Degrees of Freedom k n n p 1 Mean Square MSR MSE F0 MSR MSE

Input Attention concentration Auditory vocal channel Complex verbal directions Distinguishing essential from nonessential detail Encode information for processing Simple verbal directions Understanding long questions Understanding words Visual motor channel Visual perception of abstract stimuli Visual perception of complete meaningful stimuli Visual perception of meaningful stimuli

A computational formula for SSR may be found easily. Now since SST n n 1g i 1 yi 2 2 n y y 1 g i 1 yi 2 2 n, we may rewrite Equation 12-19 as a a yi b

J. Rosenberg, H. Schulzrinne, G. Camarillo, A. Johnston, J. Peterson, R. Sparks, M. Handley, E. Schooler: SIP: Session Initiation Protocol, RFC 3261, June 2002 J. Rumbaugh: Getting Started: Using Use Cases to Capture Requirements, Journal of Object-Oriented Programming, pp. 8 23, 1994 R. E. Rustad, Jr: Guide to OpenBSD Packet Filtering Firewalls, Kuro5hin article, November 2002

.95 .97 .94 .94 .95 .85 .95 .95 .95 .94 .86 .88

y

y

.94 .96 .93 .93 .93 .84 .94 .92 .94 .93 .83 .86

http://www.kuro5hin.org/story/2002/11/23/14927/477

(12-20)

Integration/Storage Achievement Acquired knowledge Cognition Common sense Concept formation Convergent-production Crystallized ability Culture-loaded knowledge Evaluation Facility with numbers Figural cognition Figural evaluation Fluid ability Fund of information General ability Handling abstract verbal concepts

EXAMPLE 12-3

.97 .96 .96 .86 .95 .92 .96 .93 .96 .94 .93 .94 .95 .95 .97 .94

We will test for significance of regression (with 0.05) using the wire bond pull strength data from Example 12-1. The total sum of squares is a a yi b

[Rum94]

27,177.9510

.96 .95 .95 .82 .92 .91 .95 .92 .95 .92 .91 .92 .93 .95 .96 .92

1725.822 2 25

[Rus02]

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27,062.7775

1725.822 2 25

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