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Signature verification is a behavioral biometric technique that analyses the way an end user signs their name. The signing features such as speed, velocity and pressure exerted by the pen are as important as the static shape of the finished signature. This pattern helps you to design an appropriate signature verification mechanism to satisfy I&A requirements for a specific domain or situation.

KAUFMAN ADOLESCENT AND ADULT INTELLIGENCE TEST (KAIT)

(13-11)

Equation 13-11 is used to calculate the 95% CIs shown graphically in the Minitab output of Table 13-5. For example, at 20% hardwood the point estimate of the mean is y4. 21.167, MSE 6.51, and t0.025,20 2.086, so the 95% CI is 3y4. or 19.00 psi

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than Horn s extended ability model, which divides cognitive abilities into nine discrete abilities (Horn, 1989; Horn & Hofer, 1992). Kaufman and Kaufman believed that assessing the broader Gf Gc abilities would enhance the value of the KAIT as a clinical measure of adolescent and adult problem-solving ability. They contended that assessing each ability distinctly in its purest form (as is done in Horn s extended model) would serve to decrease the practical utility of the test by making the tasks less relevant to problems encountered in real life (Kaufman & Kaufman, 1997). Furthermore, they adhered to David Wechsler s deep-seated belief that the best way to develop a clinically rich instrument is to offer complex measurement of a few broad constructs rather than many narrow constructs (Kaufman, 2000). Wechsler asserted that too much fragmentation of constructs led to narrow abilities that are not optimally suited for assessing human intelligence. Because Wechsler was Alan Kaufman s primary mentor (Alan worked closely with him in the 1970s during the development and standardization of the WISC-R), Wechsler s approach influenced the decision to use the broad Gf Gc constructs. However, Alan and Nadeen s deep interest in theory also led to the choice of how to organize the scales. Their research interests in aging and IQ across the life span indicated that Gf Gc theory was the most pertinent theory for explaining observed patterns of growth and decline across the age span covered by the KAIT. As detailed in 5 of this book, a large body of research indicates that Gc abilities are mostly maintained throughout the adult life span whereas Gf abilities peak in the late teens and early 20s before declining steadily throughout the aging process (Kaufman, 1990, 7; Kaufman & Horn, 1996).

5

say,

also helped to guide the development of the KAIT. Certain developmental changes in the brain that emerge at the ages of 11 or 12 are associated with Luria s (1973, 1980) notion of planning ability (Block 3). Similarly, Piaget s formal operational stage also begins to emerge at ages 11 or 12. Furthermore, Luria s definition of planning ability involves decision making, evaluation of hypotheses, and flexibility in problem solving, which is quite similar to Piaget s concept of formal operations. Piaget conceptualized the stage of formal operations as hypothetico deductive reasoning, or having the ability to use abstractions and solve novel problems using higher-level reasoning. Thus, Kaufman and Kaufman decided that their adolescent and adult test should assess intelligence in individuals beginning at age 11, as this is a theoretically meaningful age distinction, given the developmental changes occurring during this period. Likewise, from a neuropsychological perspective, ages 11 12 are meaningful because they coincide with the maturation of the tertiary areas of the prefrontal cortex, structures believed to be intimately associated with Luria s concept of planning ability. Because the Kaufmans used the Piaget and Luria theories as entry-level requirements for a task s inclusion in the KAIT, that further ensured that the KAIT would meet its goal of measuring broad, complex constructs; even the Crystallized subtests deliberately measure some reasoning ability in order to be advanced enough to measure formal operations and planning ability (Kaufman, 2000).

It can also be interesting to nd con dence intervals on the difference in two treatment means, Yj., and the variance of this estimator is i j. The point estimator of i j is Yi.

T has a t-distribution with a(n based on the t-distribution. De nition A 100(1

Speaker verification is a part-physical, part-behavioral biometric that analyses patterns in speech. It compares live speech with a previously-created speech model of a person s voice. This pattern helps you to design an appropriate speaker verification mechanism to satisfy I&A requirements for a specific domain or situation.

The KAIT is a standardized measure of old (crystallized) and new (fluid) learning for individuals ages 11 to over 85. The combination of these two types of abilities may be considered general intelligence. As shown in Figure 13.1, the KAIT is organized into a Core Battery and an Extended Battery. The Core Battery is comprised

) percent con dence interval on the difference in two treatment means 2MSE B n 2MSE B n (13-12)

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