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making this distinction. However, in differentiating schizophrenia from affective disorder, item information should be maximized around point B. If a scale is intended to be useful in making a variety of such distinctions, one would prefer a scale to be composed of items that contain information relevant to discriminations across the entire relevant range or the full depth of the construct. In other words, a scale should be composed of items sampling information across the full spectrum of the concept if it is to be able to make a variety of different diagnostic distinctions. As an example, the item response model was used as a conceptual guide in selecting items for the nal version of the PAI (Morey, 1991a), in an attempt to select items that provided information across the full spectrum of the concept in question. Through an examination of the item characteristic curves of potential items, the nal items were selected to provide information across the full range of construct severity. The nature of the severity continuum varied across the constructs on the test; for example, for the Suicidal Ideation scale, this continuum involved the imminence of the suicidal threat. Thus, items on this scale varied from vague and illarticulated thoughts about suicide to immediate plans for self-harm, allowing the examiner to capture information, not only about the presence of suicidal thinking, but about its intensity. Discriminant Validity A test is said to have discriminant validity if it provides a measure of a construct that is speci c to that construct; in other words, the measurement is free from the in uence of other constructs. Although discriminant validity has long been recognized as an important facet of construct validity, it has not traditionally played a major role in the construction of

gures. Anticipated deployments are given in the rst columns relating to the three constellations. The early TRANSIT satellites, like Parus and Tsikada, are not included in the tables. Note also that the Satellite Based Augmentation Systems (SBAS) are not included, although some such satellites do enable ranging as well. In Table 6.8, the number of signals for each constellation is the total number of transmitted signals, irrespective of the fact they are civil, military, or reserved. In parentheses are the names of the newly added codes. Care must be taken when analyzing this table. For instance, there were three signals at the early stage of GPS, only one being civil. But civilian receivers using phase measurements on L1 and L2 were available. Table 6.8 has counted only one signal in this case.

3. Credit card receivables as a percentage of credit card revenue: Average credit card receivables Credit card revenue 4. Credit card receivables turnover: Credit card revenue Average credit card receivables 5. Average credit cards collection period: Days in the period Credit card turnover ratio for the period 6. Accounts receivable as a percentage of accounts receivable credit revenue: Average accounts receivable Accounts receivable credit revenue 7. Accounts receivable turnover: Accounts receivable credit revenue Average accounts receivable 8. Accounts receivable average collection period: Days in the period Accounts receivable turnover ratio for the period Another useful technique is to make a common-size analysis of current assets. Total current assets are 100 percent, and each item of current assets is expressed as a proportion of 100 percent. By comparing two or more consecutive periods, such an analysis can indicate a change in liquidity due to a change in the proportions of each current asset relative to total current assets. Long-term solvency ratios, sometimes called net worth ratios, measure a company s ability to meet its long-term credit obligations: 1. Total assets to total liabilities ratio 2. Total liabilities to total assets ratio Total assets Total liabilities Total liabilities Total assets

3 B 11.11

Condensed Balance Sheet Dec. 31, 0003 Assets Liabilities Stockholders Equity: Capital stock Retained earnings $205,000 $182,000 $20,000 3,000

beyond the scope of this chapter, although knowledge of the basic dipolar characteristics of the magnetic ux distribution allow the dipole source to be localized from the pattern of current induced in the magnetometer array. After such an estimate is derived, it can be coregistered with structural MRI to provide localization in brain-anatomical terms. Coregistering results from MEG with structural brain images is known as magnetic source imaging (Ganslandt, Nimsky, & Fahlbusch, 2000; Lewine & Orrison, 1995; Roberts, Poeppel, & Rowley, 1998). Applications MEG and magnetic source imaging have become increasingly popular in recent years and have been applied to a variety of problems in neuropsychology and in cognitive neuroscience. For example, it has been applied to the lateralization-localization of language functions in surgical planning (Breier, Simos, Zouridakis, Wheless et al., 1999; Roberts, Ferrari, Perry, Rowley, & Berger, 2000), to localization of memory processes in the temporal lobe (Castillo et al., 2001), and elucidation of the processes underlying visual object recognition (Halgren, Raij, Marinkovic, Jousmaki, & Hari, 2000), normal and disordered reading (Breier, Simos, Zouridakis, & Papanicolaou, 1999; Simos et al., 2000), and attention (Assadollahi & Pulvermuller, 2001). Choosing a Functional Imaging Strategy The researcher who contemplates using functional brain imaging as an investigative tool must consider a broad range of factors when choosing a particular strategy. Assuming unlimited availability, as well as the extensive nancial and personnel resources that such techniques often require, the researcher is faced with evaluating the relative strengths and weaknesses of available methods. A summary of these strengths and weaknesses, adopted from the excellent review by Nadeau and Crosson (1995), is presented in Table 12.1. The notion of

Wireless ATM MAC protocol relative characteristics PRMA/DA DSA++ FDD variable medium medium high high MASCARA TDD variable high high medium high DTDMA TDD fixed high medium high medium