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Two composites are available for the WAIS-III the traditional FS-IQ and the General Ability Index (GAI), composed only of the subtests that constitute the VCI and POI (Tulsky, Saklofske, Wilkins, & Weiss, 2001). The GAI, which excludes subtests associated with a person s working memory and processing speed, has also been used as an alternate measure of global intelligence for the WISC-III (Prifitera, Weiss, & Saklofske, 1998) and WISC-IV (Flanagan & Kaufman, 2004). The three VCI and three POI subtests that compose the WAIS-III GAI are generally the best measures of g, whereas the Working Memory and Processing Speed subtests are among the worst measures (Tulsky et al., 2001). Because the GAI is composed of strong measures of general ability, it is especially useful for estimating general ability for individuals whose scores on memory and speed subtests deviate significantly from their scores on measures of verbal and nonverbal tasks (Prifitera et al., 1998). These basic principles about the GAI influenced Flanagan and Kaufman when they developed Step 2 of the WISC-IV interpretive system and, therefore, they also provide the rationale for Step 2 of this analogous WAISIII system. Steps 2a and 2b, described next, help determine whether the FS-IQ or GAI provides the best measure of a person s global intellectual ability (or whether neither global score should be used).

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This process-improvement activity using the control chart is illustrated in Fig. 16-2. Notice that:

182 6

Alternative Normative Descriptive System for WAIS-III Alternative Description of Performance Upper Extreme/Normative Strength Above Average/Normative Strength Average Range/Normal Limits Below Average/Normative Weakness Lower Extreme/Normative Weakness

* Note that sigma refers to the standard deviation of the statistic plotted on the chart (i.e., deviation of the quality characteristic.

The control chart will only detect assignable causes. Management, operator, and engineering action will usually be necessary to eliminate the assignable cause. An action plan for responding to control chart signals is vital.

NOTE: Table A.2 from Rapid Reference 4.4 in Essentials of WISC-IV Assessment (Flanagan & Kaufman, 2004), reprinted with permission.

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Temporary and expired user accounts are often a convenient way of gaining access to a system. Therefore, remove all user accounts and entries from access control lists from any network device (firewalls, routers, VPN concentrators), server (hosts files), applications and user stores (database, LDAP, and so on).

In identifying and eliminating assignable causes, it is important to nd the underlying root cause of the problem and to attack it A cosmetic solution will not result in any real, long-term process improvement Developing an effective system for corrective action is an essential component of an effective SPC implementation We may also use the control chart as an estimating device That is, from a control chart that exhibits statistical control, we may estimate certain process parameters, such as the mean, standard deviation, and fraction nonconforming or fallout These estimates may then be used to determine the capability of the process to produce acceptable products Such process capability studies have considerable impact on many management decision problems that occur over the product cycle, including make-or-buy decisions, plant and process improvements that reduce process variability, and contractual agreements with customers or suppliers regarding product quality.

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FIGURE A.1 Illustration of Step 1 from the WAIS-III Interpretive Worksheet using Aim e L. s profile of scores (see Aim e s case report in 12, pages 501 507).

Control charts may be classi ed into two general types Many quality characteristics can be measured and expressed as numbers on some continuous scale of measurement In such cases, it is convenient to describe the quality characteristic with a measure of central tendency and a measure of variability Control charts for central tendency and variability are collectively called variables control charts The X chart is the most widely used chart for monitoring central tendency, whereas charts based on either the sample range or the sample standard deviation are used to control process variability Many quality characteristics are not measured on a continuous scale or even a quantitative scale In these cases, we may judge each unit of product as either conforming or nonconforming on the basis of whether or not it possesses certain attributes, or we may count the number of nonconformities (defects) appearing on a unit of product.

Proper cleaning of disk drives is a critical but often-overlooked task. Specialty tools are available to completely erase entire hard drives or particular files. Also, one or both parties posses data belonging to the other: this data should be completely erased or returned to the business partner in a secure manner.

Control charts for such quality characteristics are called attributes control charts Control charts have had a long history of use in industry There are at least ve reasons for their popularity: Control charts are a proven technique for improving productivity A successful control chart program will reduce scrap and rework, which are the primary productivity killers in any operation If you reduce scrap and rework, productivity increases, cost decreases, and production capacity (measured in the number of good parts per hour) increases 2 Control charts are effective in defect prevention The control chart helps keep the process in control, which is consistent with the do it right the rst time philosophy It is never cheaper to sort out the good units from the bad later on than it is to build them correctly initially.

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java code 128 reader

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