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arousal (e.g., muscle tension), whereas attention-focusing procedures (e.g., imagery training, meditation, thought stopping) target mental arousal in the form of worries, intrusive thoughts, or a racing mind. Biofeedback is designed to train a patient to control some physiological parameters (e.g., frontalis EMG tension) through visual or auditory feedback. Stimulus Control Therapy Chronic insomniacs often become apprehensive around bedtime and associate the bed/bedroom with frustration and arousal. This conditioning process may take place over several weeks or even months, without the patient s awareness. Stimulus control therapy consists of a set of instructions designed to reassociate temporal (bedtime) and environmental (bed and bedroom) stimuli with rapid sleep onset. This is accomplished by postponing bedtime until sleep is imminent, getting out of bed when unable to sleep, and curtailing sleepincompatible activities (overt and covert). The second objective of stimulus control is to establish a regular circadian sleep-wake rhythm by enforcing a strict adherence to a regular arising time and by avoidance of daytime naps (Bootzin, Epstein, & Wood, 1991). Sleep Restriction Poor sleepers often increase their time in bed in a misguided effort to provide more opportunity for sleep, a strategy that is

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Perceiving pervasive discrimination among African Americans: Implications for group identi cation and well-being Journal of Personality and Social Psychology, 77, 135 149 Branscombe, N R, & Ellemers, N (1998) Coping with groupbased discrimination: Individualistic versus group-level strategies In J K Swim & C Stangor (Eds), Prejudice: The target s perspective (pp 243 266) San Diego, CA: Academic Brewer, M B (1979) Ingroup bias in the minimal intergroup situation: A cognitive motivational analysis Psychological Bulletin, 86, 307 324 Brewer, M B (1988) A dual process model of impression formation In T S Srull & R S Wyer (Eds), Advances in social cognition: Vol 1 A dual process model of impression formation (pp 1 36) Hillsdale, NJ: Erlbaum Brewer, M B (1991) The social self: On being the same and different at the same time Personality and Social Psychology Bulletin, 17, 475 482 Brewer, M B.

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, & Miller, N (1984) Beyond the contact hypothesis: Theoretical perspectives on desegregation In N Miller & M B..

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Between Group Designs: Between group designs use two or more separate groups of subjects, each of which receives a different type of intervention or, in the case of a control condition, no intervention. Therefore the independent variable is manipulated by the experimenter so that different groups of subjects receive different types of experiences. In the test-taking anxiety example, one group of subjects received relaxation, a second group received aerobic exercise, while a third group received a control condition (i.e., magazine reading). Ideally, subjects are randomly assigned to treatment and control conditions in a between group design. The experimenter then assumes that all other factors that could potentially influence the study results (e.g., age, motivation, intelligence, severity of anxiety) will be evenly distributed between the groups. To ensure that potential factors that might influence the results do not differentially affect the experimental and control groups, the experimenter may wish to use a matching procedure. For example, to ensure that gender and age are similar in each experimental and control condition, the experimenter would match subjects such that males and females as well as different ages are

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The question is: How close is close We offer a rough rule of thumb for ascertaining the presence of correlation, while again noting that the analyst needs to temper these heuristics with specialist domain knowledge, applicable to the particular eld of study. The analyst should beware of black-and-white verdicts concerning the presence or absence of correlation, since the degree of correlation ranges continuously from 1 to 1, including areas in shades of gray. This rule of thumb should not take the place of more rigorous tests for determining the association between variables.

not broadcasted on v Thus, if u = 0, we remove the service s from the virtual source ensemble On the other hand, if z = 0, we add the service s to the virtual target ensemble 1253 The Problem of Move Evaluation Now, having defined the neighborhood, we could just use the standard design of the tabu concept and the aspiration criterion, and should have a working TS algorithm Unfortunately, it turns out that the details of a successful TS implementation for the EPP are much more complicated The following example illustrates the difficulties we face Let B be an ensemble assignment Consider the case that for each pair of vertices v1, v2 V with v1v2 E and for each pair of ensembles B1 Bv1, B2 Bv2, the following two properties are satisfied: 1 |B1| > 2, |B2| > 2.

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