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conclusions to be drawn because it holds constant all other elements of the therapy except for the intervention s speci c comparison component Thus, investigators are well equipped to identify which ingredients (alone and in combination) are speci cally causative of change For example, if a treatment package consisting of components A and B is dismantled via this design, then the investigator can randomly assign participants to receive only component A, only component B, or both components A and B If the A B condition is superior to either element alone, one can conclude that (a) A B is causative of change beyond common factor effects and history, maturation, and so on; and (b) A B s combination of elements is additively or interactively causative of change beyond either element alone.

If component A, on the other hand, is found to be equivalent to A B, and component B is inferior to A and A B, then the evidence indicates that (a) B is not causatively contributing to the effects of A B, (b) A is the likely explanation of the causative effects of A B, and (c) both A and A B contain active, causative ingredients beyond the effects of common factors and of history, maturation, and so on, given their superiority over B, which contains those potential causative variables In addition to identifying very speci c causal relationships, the beauty of the dismantling design from a basic knowledge perspective is that its outcomes point future research in the direction of understanding the nature of the disorder under investigation and the nature of the mechanisms of change.

If a particular component is causative, then that component contains a mechanism for further pursuit, and scientists can devise new investigations to explore rival theories about what that mechanism might be and how it generates its therapeutic impact Notice also how it invites further research and theoretical understandings of the disorder itself: What is the nature of this disorder and its maintaining conditions such that this particular component or combination of components speci cally causes its amelioration In an investigation of treatment for generalized anxiety disorder, Butler, Fennell, Robson, and Gelder (1991) compared the effectiveness of a waiting-list control group (WL); behavior therapy (BT) consisting of relaxation training, graded exposure to feared situations, and con dencebuilding strategies; and a full cognitive behavior therapy (CBT) package, which consisted of behavior therapy in addition to cognitive therapy techniques targeting anxious thoughts.

Results indicated that at posttreatment, the WL condition was inferior to BT on 4 out of 16 main outcome measures and inferior to CBT on 13 out of 16 of those measures In comparing the two active treatment conditions, CBT was superior to BT on 6 of the 16 main outcome measures at the end of treatment, whereas it was superior to BT on 9 out.

advancement of that work How the three BBRs compose personality is described next The Emotional-Motivational Aspects of Personality There are many concepts that refer to human emotions, emotional states, and emotional personality traits As examples, it may be said that humans may feel the responses of joy or fear, may be in a depressed or euphoric state, and may be optimistic or pessimistic as traits The three different emotional processes are not usually well de ned PB makes explicit de nitions First, the individual can experience speci c, ephemeral emotional responses depending on the appearancecessation of a stimulus Second, multiple emotion-eliciting events can yield a series of related emotional responses that add together and continue over time; this constitutes an emotional state Third, the individual can learn emotional responses to sets of stimuli that are organized like learning a positive emotional response to a wide number of religious stimuli.

272 PERVASIVE COMPUTING APPLICATIONS Characteristics of pervasive computing applications have been identified as interaction transparency, context awareness, and automated capture of experiences [2] Pervasive computing aims at nonintrusiveness It contrasts with the actual nontransparency of current interactions with computers Neither input output devices nor user manipulations are natural Input output devices such as mouses, keyboards, and monitors are pure artifacts of computing So are manipulations such as launching a browser, selecting elements in a Web page, setting up an audio or video encoding mechanism, and entering authentication information (eg, a log-in and a password) Biometrics security is a field aimed at making authentication of users natural It removes the log-in and password intermediate between the user and the computer To identify an individual, it exploits the difference between human bodies Authentication is based on physical measurements To be usable, however, the measurements must be noninvasive and fast.