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It s easy to get weather forecasts for any major city around the world. Just enter the city and country name into the the Local Forecast box on the Weather.com home page or click the World tab and enter the location information there. You ll find the same information for foreign cities as you do for U.S. cities.

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To gain a more thorough understanding of an individual s abilities, it is helpful to look at the strengths and weaknesses within the profile. Many adolescents and adults show variability within their subtest profile, so it is important to determine whether the variability within the profile is statistically significant. This process involves calculating statistically significant strengths and weaknesses within the subtest scaled scores. There are typically two modes of determining strengths and weaknesses: comparing a person s scores to those of the normative population, and comparing them to the individual s own mean score (an ipsative comparison). The calculations used as part of the profile analysis, which is completed on the backside of the Individual Record Form, produce ipsative strengths and weaknesses. That is, the strengths and weaknesses found deviate from the person s own average performance. Before computing the strengths and weaknesses portion of the profile analysis, you must first transfer the individual subtest scaled scores to their corresponding space in the

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Subtests section (You may also want to graph the scores on the Subtest Scaled-Score Profile at this time) Also transfer the examinee s IQs, including their confidence intervals, and graph them under the IQ Profile (See page 45 of the KAIT Administration and Scoring Manual for an example of a profile analysis page) Next, determine which mean scaled score to use for calculating strengths and weaknesses If there is no significant difference between the Crystallized and Fluid IQs, use the mean score for the Composite Intelligence Scale If there is a significant difference between the Crystallized and Fluid IQs, use the separate mean scaled scores for the Crystallized Scale and Fluid Scale, respectively (see Figure 72 for determining significant differences) After determining which mean scaled score to use, transfer the appropriate score(s) to the back page of the record form.

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To determine strengths and weaknesses, calculate the difference between each subtest scaled score and the appropriate mean scaled score Remember, the appropriate mean scaled score is determined by the discrepancy between the Crystallized and Fluid IQs If there is not a significant discrepancy between the Crystallized Fluid IQs, the difference between each subtest scaled score and the mean scaled score for the Composite Scale would be calculated If there is a significant Crystallized Fluid IQ discrepancy, the difference between each Crystallized subtest scaled score and the mean scaled score for the Crystallized Scale would be calculated; the difference between each Fluid subtest scaled score and the mean scaled score for the Fluid Scale would be calculated If the difference score is equal to or exceeds the difference required for significance at the 05 level, which is listed on the record form, then it is either a significant strength or weakness.

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Weather.com also offers several country-specific versions of its site. These are detailed in Table 14-1.

It is a strength if the value is positive, a weakness if the value is negative However, these strengths and weaknesses may or may not deviate from the average of the normative population Thus, it is also important to examine the standard scores Sometimes a person s performance on a subtest is a strength or.

years (Gribbin, Schaie, & Parham, 1980) Being involved in a stimulating early work experience has also been associated with IQ maintenance (Willis, 1985), as has coming from high socioeconomic status and remaining fully engaged with their environment (Schaie, 1984) In contrast, the largest declines tend to be shown by older adults (most notably by intelligent females) who have faced family dissolution or personal disengagement (Willis, 1985); widowed women who were never in the workforce and who were disengaged were particularly vulnerable to cognitive decline (Schaie, 1984) Additionally, longitudinal data obtained on World War II veterans tested twice (40-year interval) revealed significant relationships between participation in cognitive activities (and health, and education) and maintenance of intelligence (Arbuckle, Gold, Andres, Schwartzman, & Chaikelson, 1992) However, as Hultsch et al.

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