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The eld of physiology, in particular neurophysiology for example, in the work of Sir Charles Sherrington together with clinical neurology and neuroanatomy, were exciting new elds at the beginning of the twentieth century At this time, the only experimental tools for studying brain organization and functions were ablation and electrical stimulation Neuroanatomy was in its descriptive phase; thanks in part to the Golgi method, the monumental work of Ramon y Cajal was completed over a period of several decades beginning near the end of the nineteenth century Neurochemistry was in its descriptive phase, characterizing chemical substances in the brain The rst recording of a nerve action potential with a cathode-ray tube was done by Gasser and Erlanger in 1922, but the method was not much used until the 1930s The human EEG was rediscovered in 1929 by H.

same species, and preferably, must be present in the genome in a single copy. Table 29.3 summarizes the endogenous reference control genes currently available.

Ground-start interface block diagram. (From Figure 2-7 of Ref. 8, reprinted with permission.)

Berger, and the method was applied to animal research and human clinical neurology, particularly epilepsy, in the 1930s by, for example, Alexander Forbes, Hallowell Davis, and Donald Lindsley The pioneering studies of Adrian in England (1940) and of Wade Marshall, Clinton Woolsey, and Philip Bard (1941) at.

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studies that were conducted in a lab, except one (Bray, 2004), employed this type of measure (see Table 361) Lab studies, because of the degree of control that this type of a design allows for (eg, holding a group performance task constant across teams), may be a necessary condition for advancement of knowledge in collective efficacy in sport That a study occurs in a lab, however, is not a sufficient condition for inadequately representing the construct of interest Similarly, employing a single item that is more mastery-oriented (eg, one s belief that one s team would play well; Chase et al, 2003) in a field study is also likely to inadequately represent the construct of interest, and we caution against it.

Content Networking in the Mobile Internet, Edited by Sudhir Dixit and Tao Wu ISBN 0-471-46618-2 Copyright # 2004 John Wiley & Sons, Inc.

Waligora-Sera n, B, 291 Walker, A, 448, 461, 530, 532, 544 Walker, E A, 173, 174, 190, 396, 397, 399, 402, 413 Walker, I M, 279, 289 Walker, J M, 185 Walker, L S, 399, 401, 402, 410, 413 Walker, S E, 190 Wall, A, 601, 608 Wall, E M, 253, 263 Wall, P D, 180, 181, 188, 190, 298, 302, 314 Wallace, L M, 23 Wallace, P, 369, 370, 389, 391 Wallace, R B, 488, 506, 572, 589 Wallace, R K, 609 Wallander, J L, 196, 210, 441, 464 Wallin, B, 5, 12, 13, 22, 23 Wallis, B J, 295, 315 Wallston, K A, 57, 66, 68, 71, 72, 174, 189, 190 Wallston, K E, 5, 23 Wallstrom, M, 156, 168 Walsh, J K.

ing Willye White, Madaline Manning, Wyomia Tyus, and Wilma Rudolf The civil rights movement, though facilitating integration and opportunities, did not open all doors, as private clubs and many sport facilities held to racist and classist policies, and public programs often were slow to progress As Y R Smith (2000) notes, YWCAs, Historically Black Colleges and Universities [HBCUs], public schools, and other community-based educational and sports structures became the dominant support networks for African American female athletes Taking a more critical analysis, Y R Smith notes that the tradition of athleticism for women comes out of social acceptance of physicality and recognition of the inner strength of women She concludes, Thus, educational and sport structures within the African American community, as well as gendered and racial ideology in American society, have significantly influenced the social history of women of color in sports (p 194).

Conceptual Analysis Feltz and Chase (1998) recommend an a priori conceptual analysis, with the active input of at least one content expert, to determine the skills needed to perform in the domain of interest These skills should be reflected in both the efficacy measure and the external measure of interest That is, the efficacy measure and the external measure should be reasonably concordant, an issue that is explored in a subsequent section Here, however, the focus is on the construction of indicators of collective efficacy, not relevant external variables As can be seen in Table 361, the occurrence of an a priori conceptual analysis to guide the construction of indicators of collective efficacy has become more frequent across time The most rigorous example of such an analysis is provided by Paskevich et al (1999) These scholars put forth an eight-dimensional factor model that was defined by 56 items.

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