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time slots. Thus, we have the following result. Lemma 5.5 With probability exceeding 1 1/4f , Phase 1 and Phase 2 combined take at most log log n + log log f + O( log log n + log log f ) time slots. Also, it is easy to prove the following lemma in the same way. Lemma 5.6 With probability exceeding 1 3/4f , the number of remaining active stations at the end of Phase 2 does not exceed 7 ln[4f (s2 + 1)]. Since Phase 3 is the same as Nonuniform-election, we have the following theorem. Theorem 5.7 There exists a nonuniform leader election protocol terminating in log log n + 2.78 log log f + o(log log n + log f ) time slots with probability at least 1 1/f for any f 1.

This finding suggests that we do not have to explicitly depress ego involvement to maintain motivation; rather, we should enhance task involvement to moderate the potentially debilitating effects of a high-ego state of involvement It may well be that always fostering task-involving criteria may not satisfy all individuals in the sport experience, especially elite athletes (Hardy, 1997) It may well be that athletes at all levels of competition would benefit from being both task- and ego-involved Being both task- and ego-involved is conceptually coherent with achievement goal theory and may be valuable in the learning process because it provides multiple sources of competence information to the athlete Encouraging individuals to be taskinvolved in achievement tasks has been demonstrated to optimize motivation, even with elite athletes, but we need not be blind to the fact that some athletes do favor and are motivated by ego-involving criteria.

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(5) X (m x m) symmetric, A, B (m x m) :

Figure 5.2 Instances of noncorrespondence and illusion: (A) the upper divided space appears to be slightly longer than the lower undivided space (the lled space-open space illusion); (B) the black circle surrounded by large circles appears smaller than the black circle surrounded by small circles (the Ebbinghaus illusion); (C) the vertical line appears longer than the horizontal line (the horizontal-vertical illusion).

Hambrecht et al. (2005) reported that high stress conditions (long transport, short lairage) decreased muscle glycolytic potential and increased plasma lactate, cortisol, muscle temperature, rate of pH decline, ultimate pH, and b* values (yellowness) of pork. Other color measures were unaffected by high stress but water-holding properties were impaired. Because supplemental dietary magnesium is related to postmortem glycogen breakdown of lactic acid and concomitant muscle pH decline, it has been shown to help offset damage to color and waterholding capacity that result from the stress involved in transport and handling (Frandson and Spurgeon 1992). Feeding swine magnesium during the nishing phase results in higher initial and/or ultimate muscle pH values and a decrease in the incidence of PSE (D Souza et al. 1998; Swigert et al. 2004).

The task for the investigator and the practitioner is to determine when task- or ego-involving criteria of success and failure are motivational Only further research will verify this hypothesis As is clear from the foregoing, it may be concluded that where achievement goals come from, how they are operationalized, and how they are measured are areas with rich research traditions We may ask: What are the key constructs underlying the motivational equation Of all the motivational paradigms that are extant, which of the constructs is central to understanding motivation As Duda and Hall (2001) have suggested, perhaps it is time to begin to seriously attempt to integrate some key constructs and untangle the motivation puzzle, as we and some others have attempted (eg, Kaplan & Maehr, 2002).

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Are achievement goals the manifestation of needs, values, the valence of outcomes, or cognitive schemas driving how one sees one s world and responds to the environmental cues with achieve-.

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