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observations with high numbers of targets, but negative for low numbers of targets. Unfortunately, in failing to recognize this pattern, one may use a model with no interactions. In such a case the positive slope observations are averaged with the negative slope observations to create an estimate of 0 slope. This would typically lead the data analyst to conclude that no relationship exists at all, when in fact a clear story exists just below the surface (one variable down!). Although the graphics employed so far have been helpful, we have essentially used numerous low-dimensional views of the data to try to develop a multidimensional conceptualization. This is analogous to the way many researchers develop regression models as a list of variables that are related or not related to the dependent variable, and then consider them altogether. Our brushing and coding of the scatter plot matrix has shown that this is a dangerous approach because related is usually operationalized as linearly related an assumption that is often unwarranted. Moreover, in multidimensional space, variables may be related in one part of the space but not in the other.

(i = 1, . . . , n; j = 1, . . . , p),

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Issues, or SPSSI, and the Psychometric Society) but principally steered by the two heavyweights, the APA and the AAAP, led to the establishment of a new American Psychological Association. The new APA began with 18 charter divisions, a model borrowed from the sectional structure of the AAAP; a new journal that was intended to be a journal of professional psychology, the American Psychologist (Benjamin, 1996); and a new central of ce in Washington, D.C. (Capshew, 1999). The new APA also had a new statement of objectives which read: to advance psychology as a science, as a profession, and as a means of promoting human welfare (Wol e, 1946/1997, p. 721). The professional goal had come, of course, from the AAAP, and the human welfare goal from the SPSSI. The APA looked and sounded like a new kind of organization, one that had nally acknowledged the presence of the profession of psychology. However, professional psychologists would soon learn that they had little real support (or power) within the new association. It would be almost 30 years before that situation changed in any dramatic way.

attention-focusing task Thus, worrying for 15 min produced an incubation of negative cognitive activity Although this study was not conducted as part of a psychotherapy outcome investigation (indeed, few outcome investigations to date have employed a parametric design), results such as these are obtainable from outcome trials and would signi cantly add to our basic knowledge about the disorder or therapeutic parameter under investigation Like the previously discussed catalytic design, the parametric design achieves a great amount of experimental control across conditions because the only thing that varies between the conditions is the dimensional level of a single technique The content of the technique is identical across conditions; it is simply the quanti ed level of the technique that varies.

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Thus, although investigators must conduct a costbene t analysis before carrying out this design (given that the nature of the design is such that small effect sizes are likely, thus requiring a larger sample and hence a greater economic expense), this experimental approach allows for highly speci c cause-and-effect conclusions to be drawn because so much is held constant across conditions Moreover, such a design can elucidate laws of behavior that may not be linear in nature, as long as its conditions sample more than two levels of the parameter of interest Comparative Design The comparative design contrasts the effectiveness of two or more interventions that represent different theoretical and historical traditions Common examples include the comparison of the effects of psychotherapy to psychopharmacological interventions, of one type of psychotherapy to another (eg.

While high- and intermediate-enthalpy geothermal resources (1, 2) can be used to generate electricity, the temperatures of low-enthalpy and ground-source heat resources (3, 4) are usually too low so support signi cant electricity generation. Advances in heat pump technology over the last two decades have resulted in 3 and 4 being

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