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may make the athlete wish to demonstrate superiority to others, and so the athlete becomes ego-involved in the task Thus, goal states are dynamic and ebb and flow depending on the perception of the athlete The measurement of goal states is a particularly challenging task It has been done in three ways One has been to take an existing goal orientation measure and reword the stem to obtain a state measure (eg, Hall & Kerr, 1997; Williams, 1998) A second has been to use single-item measures asking participants to indicate whether they focus on achieving a personal standard of performance (self-referenced) or beating others in an upcoming contest (other-referenced; eg, Harwood & Swain, 1998) The third way is to ask participants to view video replays of the event and retrospectively reflect on their goal involvement at any one point in the contest (eg, J.
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Smith & Harwood, 2001) Although the first two procedures may be more predictive of the initial state of involvement than the orientation measures per se (Duda, 2001), Duda has argued that these procedures may not capture the essence of task and ego involvement In addition, it may be argued that because the states are so dynamic, even if you are able to reflect the state of involvement at the outset of the competition, as the state of involvement ebbs and flows as task and competitive information is processed, we have no indication of the changes that may occur (Roberts, 2001) It is naive and conceptually inconsistent to assume that the state of involvement will remain stable throughout the contest The best way of estimating the state of involvement currently available is the procedure used by J Smith and Harwood (2001).
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Strelau (1987), in a model based on neo-Pavlovian theories, states that persons with strong nervous systems are relatively insensitive to stimuli at lower intensities but can process and react to stimuli at higher intensities For weak nervous system types the opposite is true: They are highly sensitive to low intensities but show inhibition of response at high intensities Cortical Arousability Cortical arousability is usually assessed with the cortical evoked potential (EP) A brief stimulus, such as a tone or ash of light, is presented a number of times, and the EEG is digitized at a xed rate, that is time locked to stimulus delivery time and averaged across trials for a given participant This process averages out the noise and produces a clear waveform representing the typical reaction of that subject to the speci c stimulus over a 500-ms period.
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At least we obtain participants observations of their goal involvement at different times of the contest This is a superior procedure to determine goal involvement that takes into consideration its dynamic nature However, this procedure is very labor-intensive; it has to be done with each participant over the course of the contest Clearly, the development of an assessment procedure for the state of goal involvement is a major task, especially when one recognizes that achievement goal theory is predicated on one s task or ego involvement in the achievement task As has been the case with measuring state anxiety, obtaining repeated measures while an athlete is engaged in competition is a practical nightmare.
And we have to recognize that repetitive assessments of goal involvement during a competitive encounter may have the effect of changing an athlete s goal involvement state (Duda, 2001)! Certainly, forcing task-involved athletes to consider why they are doing what they are doing may make them more self-aware and ego-involved in the task To reduce the like-.
6 5 4 Sensory-discriminative 3 2 1 0 15 30 45 60 75 90 105 120 Motivational-affective Cognitive-evaluative
Although latencies of response vary somewhat for individuals, for most one can identify particular peaks of positivity and negativity For instance, a peak of positive potential at about 100 ms after the stimulus (P1) represents the rst impact of the intensity characteristics of stimuli on the cortical centers Earlier peaks represent stimulus processing at subcortical centers The peak at 300 ms after the stimulus (P3) is in uenced by novelty, surprise, or unexpectedness of the stimulus and thus represents a higher level of cortical processing in that the stimulus must be compared with previous stimuli Stelmack (1990) reviewed the relationship between E and cortical EPs As might be expected, the results depend on the characteristics of the stimuli used to evoke the EPs as well as the reactor s age and personality characteristics.
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Small, W. W. (1900). An experimental study of the mental processes of the rat. American Journal of Psychology, 11, 133 165. Spence, K. W. (1956). Behavior theory and conditioning. New Haven, CT: Yale University Press. Thorndike, E. L. (1898). Animal intelligence: An experimental study of the associative processes in animals. Psychological Review Monograph Supplements, Vol. 2 (No. 4, Whole No. 8). Tinbergen, N. (1953). The herring gull s world. London: Collins. Tukey, J. W. (1977). Exploratory data analysis. Reading, MA: Addison Wesley. Washburn, M. F. (1936). The animal mind (4th ed.). New York: Macmillan. Zucchini, W. (2000). An introduction to model selection. Journal of Mathematical Psychology, 44, 41 61.
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