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model (Cliff, 1992, offers various reasons for this neglect) Therefore, it is unlikely that most scales represent additivity in either an empirical, conjoint, or scaled sense On the other hand, it seems reasonable that the property of order is represented in many cases Order is much more easily justi ed than additivity because one need only argue that two individuals with different scores on a measure can be ordered in terms of the empirical amount of the construct in question, provided the scores are reasonably consistent This ordering seems sensible in many situations, even when we cannot determine meaningful distance between the ordered individuals Therefore, it seems realistic to assume that much of the data in the social sciences are ordinal The advantage of ordinal methods is that they deal explicitly with the order of the data.

history, 46 47 modes, 273 280 couples, 279 280, 284 286 family, 280, 287 group, 275 279, 282 284 individual, 274 276, 278 279 integration of theories, techniques, modalities, and biopsychosocial factors, 294 295 non-psychotherapy approaches to treatment, 280 291 overview/introduction, 265 266, 291, 296, 317 318 questions about, 299 319 culture, client-therapist match, 306 effectiveness, 301 304, 312 lasting effects, 308 309 long-term versus short-term treatment, 304 305 medical cost reduction, 314 315 paraprofessionals as therapists, 313 314 potential for harm, 315 316 superiority of treatment types, 306 308 repressed memories, 316 stages: assessment, 272 development of treatment goals, 273 evaluation of treatment, 273 follow-up, 273 implementation of treatment, 273 initial consultation, 270 272 termination, 273 Web resources, 297, 319 Psychotropic medication. See Medications PsyD (Doctor of Psychology), 10, 60 PTSD, Web resources, 360

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What do they tell us Webster s Seventh New Collegiate Dictionary (1969) says that emotion is a psychic and physical reaction subjectively experienced as strong feeling and physiologically involving changes that prepare the body for immediate vigorous action, and that affect is de ned as the conscious subjective aspect of an emotion considered apart from bodily changes Here is the traditional de nition, which responds to the advice of our elder statesmen Darwin and James that visceral changes are a necessary part of the emotions But they are not suf cient; we still require the affective component Assuming that affect falls under a broad de nition of cognition, including information, cogitation, subjective classi cation and other mental entities, the advantage of an affective/cognitive component is that it makes all possible emotions accessible Whatever evaluative cognitions arise historically and culturally, they are potentially part of the emotional complex.

The channel has a binary input, and its output is equal to the input with probability 1 p. With probability p, on the other hand, a 0 is received as a 1, and vice versa. In this case, the capacity of the channel can be calculated to be C = 1 + p log p + (1 p) log(1 p) bits per transmission. However, it is no longer obvious how one can achieve this capacity. If we use the channel many times, however, the channel begins to look like the noisy four-symbol channel of Example 1.1.4, and we can send information at a rate C bits per transmission with an arbitrarily low probability of error. The ultimate limit on the rate of communication of information over a channel is given by the channel capacity. The channel coding theorem shows that this limit can be achieved by using codes with a long block length. In practical communication systems, there are limitations on the complexity of the codes that we can use, and therefore we may not be able to achieve capacity. Mutual information turns out to be a special case of a more general quantity called relative entropy D(p||q), which is a measure of the distance between two probability mass functions p and q. It is de ned as D(p||q) =

Most of the methods to be presented later are based on ordinal comparisons between scores Pairs of scores on a variable are compared in terms of the order relations less than, greater than, and equal to This is the most appropriate treatment when order is the only justi ed scaling property of the data Many Research Questions Are Ordinal Many of the types of research questions commonly posed tacitly acknowledge that many data are ordinal When forming research questions, few researchers take seriously the speci c interpretations provided for by highly parametric methods For example, rather than expressing questions about the correlation between two variables in unit-based functional terms, most researchers simply want to know if high scores on one variable tend to go with high (or low) scores on the other variable (Long & Cliff, 1997) The same can be said in the case of group comparisons.

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