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Client-Centered Humanistic theoretical orientation that highlights nondirective techniques such as active listening, empathy, congruence, and unconditional positive regard to understand and help others. Client-Centered Case Consultation Involves consultation with a fellow professional such as another psychologist who is responsible for the treatment or care of a particular patient. Client-Therapist Variation Strategy Treatment outcome research approach that alters the types of therapists or patients to determine which combinations optimize treatment outcome. Clinical Psychology Discipline that uses what is known about the principles of human behavior to help people with the numerous troubles and concerns they experience during the course of life in their relationships, emotions, and physical selves. Cognitive-Behavioral Approach that uses the principles of learning, conditioning, and information processing to understand, assess, and treat emotional and behavioral problems. Collaborative Multisite Research Projects Common and popular research strategy that uses researchers and subjects from a variety of locations. Collaborator Consultant role that suggests that the consultant is an equal partner working with a consultee to achieve a common goal. Common Factors Elements of treatment that are curative and common in many different types of treatment approaches. Community Mental Health Movement Attempt during the late 1950s and 1960s to develop outpatient community mental health services outside of the inpatient mental hospital setting. Community-Wide Intervention Common and popular research approach that attempts to get large segments of entire communities to change behavior. Comparative Treatment Strategy Treatment outcome research approach that generally compares different strategies (e.g., psychodynamic versus behavioral techniques) for producing change in a clinical problem.

To find out your support options, choose the Help About Microsoft Excel command. Then click the Tech Support button. This opens a help file that lists all the support options offered by Microsoft, including both free and fee-based support. My experience is that you should use vendor standard telephone support only as a last resort. Chances are, you ll run up a big phone bill (assuming that you can even get through) and spend lots of time on hold, but you may or may not find an answer to your question.

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Notice that is on both sides of the equation This is because DVs can predict one another in SEM The diagram and matrix equations are identical Notice that the asterisks in Figure 242 correspond directly to the asterisks in the matrices and that these matrix equations correspond directly to simple regression equations In the matrix equations the number 1 indicates that we have xed the parameter, either a variance or a path coef cient to the speci c value of 1 Parameters are generally xed for identi cation purposes Parameters can be xed to any number; most often, however, parameters are xed to 1 or 0 The parameters that are xed to zero are also included in the path diagram but are easily overlooked because the zero parameters are represented by the absence of a line in the diagram.

As stated earlier, what makes this model different from ordinary regression is the possibility of having latent variables as DVs and predictors, as well as the possibility of DVs predicting other DVs The latter occurs with nonzero elements in B When all elements in B are zero, no DVs are predicted by other DVs, and the only coef cients needed are in ; these give weights for the IVs in predicting the DVs In such a case the model is a set of regression equations, albeit possibly with latent variables But when B has nonzero elements, certain DVs are predicted by other DVs, and the model is no longer just regression-like In the example, there are two nonzero elements in B (a xed 1 and a free parameter, *), so this is not just a regression model.

The NIAAA (2002) recognized brief motivational enhancement interventions as one of only three strategies with demonstrated evidence of effectiveness in reducing alcohol use by college students, as numerous studies have supported their effectiveness in reducing alcohol consumption and alcohol-related problems (see Larimer & Cronce, 2002) In addition to the clear success in reducing alcohol use and related consequences, motivational interviewing interventions have demonstrated effectiveness with use of marijuana (Stephens et al, 2000), cocaine (Stotts, Schmitz, Rhoades, & Grabowski, 2001), and other substances (Martino, Carroll, O Malley, & Rounsaville, 2000) The busy schedules of most athletes may make brief interventions more logistically feasible for this group.

In more complex models (so-called nonrecursive models), free parameters exist in some symmetric elements of B, such as the 1,2 and the 2,1 elements (which here would indicate that V1 predicts V2 while V2 also predicts V1) Carefully compare the diagram in Figure 242 with this matrix equation The 5 1 vector of values to the left of the equal sign, the eta ( ) vector, is a vector of DVs listed in the following order, OKDRINK2 (V1), OKSMOKE2 (V2), TEACH_SC (V4), FAMILY_S (V5), and ACCEPT_RISK (F2) The beta matrix (B) is a 5 5 matrix of regression coef cients among the DVs..

the Property inspector, or Alt-double-click (Windows) or Option-double-click the button (Macintosh).

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