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Carpenter, P J, & Coleman, R (1998) A longitudinal study of elite cricketers commitment International Journal of Sport Psychology, 29, 195 210 Chan, C S, & Grossman, H Y (1988) Psychological effects of running loss on consistent runners Perceptual and Motor Skills, 66, 875 883 Coons, S J, Rao, S, Keininger, D L, & Hays, R D (2000) A comparative review of generic quality-of-life instruments PharmacoEconomics, 17, 13 35 Cox, R, & Orford, J (2004) A qualitative study of the meaning of exercise for people who could be labeled as addicted to exercise: Can addiction be applied to high frequency exercising Addiction Research and Theory, 12, 167 188 Crabbe, J B, & Dishman, R K (2004) Brain electrocortical activity during and after exercise: A quantitative synthesis Psychophysiology, 41, 563 574 Csikszentmihalyi, M (1975) Beyond boredom and anxiety San Francisco: Jossey-Bass Csikszentmihalyi, M (1991).

To demonstrate why accessing the Value property doesn t produce the results you need, start with a new workbook and create the simple chart shown in Figure 18-7. The chart uses A1:A3 as its Values range (and has no XValues range). Insert a VBA module and enter the following procedure:

Seligman (1994) suggests that certain types of problems are more amenable to change than others. He states that the depth of a problem often predicts if the problem can be altered significantly through psychotherapy. For example, problems that are primarily biologically oriented and pervade all aspects of life are less appropriate for psychotherapy than problems that are learned and are less pervasive. Thus, he suggests that problems such as panic and phobia are much more responsive to therapy than obesity and alcoholism.

contains such a cross-tabulation, with the cells representing the mean value of the target variable (response). Since the target represents a dichotomous variable, the means therefore represent proportions. Thus, in the cross-tabulation, we see that customers who have neither bought sweaters nor made a purchase in the last month have only a 0.06 probability of responding to the direct-mail marketing promotion. On the other hand, customers who have both bought a sweater and made a purchase in the last month have a 0.357 probability of responding positively to the promotion. If a customer has a true ag value for exactly one of the two predictors, the spending last one month variable is slightly more indicative of promotion response than is the sweaters variable (0.194 versus 0.146 probability, respectively).

Nontypical sequences x n A (n) . The total probability of these / sequences can be made less than by choosing n large enough. Since the individual distortion between any two sequences is bounded by dmax , the nontypical sequences can contribute at most dmax to the expected distortion. Typical sequences x n A (n) such that there exists a codeword X n (w) n . In this case, since the source sequence that is jointly typical with x and the codeword are strongly jointly typical, the continuity of the distortion as a function of the joint distribution ensures that they are also distortion typical. Hence, the distortion between these x n and their codewords is bounded by D + dmax , and since the total probability of these sequences is at most 1, these sequences contribute at most D + dmax to the expected distortion. Typical sequences x n A (n) such that there does not exist a code word X n that is jointly typical with x n . Let Pe be the total probability of these sequences. Since the distortion for any individual sequence is bounded by dmax , these sequences contribute at most Pe dmax to the expected distortion.

14.

should be compared with that in Table 19.6, Panel C, which gives the same analysis with Case 240 included. Both the regression coef cient for RISKC and for the interaction RISKC*BENEFITC are larger when Case 240 is removed. We nd this result comforting in that our interpretations of positive impact of risk on intention and the synergistic interaction between risk and bene ts from Table 19.6, Panel D are only enhanced by the deletion of this case. We warn the reader, however, that there can be instances in which the removal of an in uential case can completely eradicate an effect. What should be done about extreme errant data points Consideration must be made of the source of the extreme cases. The very low intentions score for Case 239 may simply represent a clear recording or data entry error that can be recti ed. In other cases, the case may represent a rare subpopulation that is different from the general population of