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, that generated a metaphor (eg, I felt like a tiger ) as a symbolic representation of a feeling state Completing a paraphrased sentence, In other words, I felt myself , elicited an interpretation (eg, I felt strong and focused ) of an athlete s state as symbolized in the metaphor Then athletes generated metaphors and interpretative descriptors for competition situations during and after performance The same procedure was repeated to describe how they felt prior to, during, and after worst-ever competitions These six situations elicited 510 idiosyncratic and functionally meaningful metaphors and 922 interpretative descriptors As predicted, metaphors and descriptors reflected high action readiness in best-ever competition and low action readiness in worst-ever competition Athletes also used different metaphors to describe, symbolically, their experiences prior to, during, and after performance as the meaning of these situations changed.

indicators for each factor If each factor has three or more indicators, the model may be identi ed if errors associated with the indicators are not correlated, if each indicator loads on only one factor, and if the factors are allowed to covary If there are only two indicators for a factor, the model may be identi ed if there are no correlated errors, if each indicator loads on only one factor, and if none of the covariances among factors is equal to zero In the example, there are two indicators for each factor The errors are uncorrelated, and each indicator loads on only one factor Additionally, the covariance between the factors is not zero Therefore, this part of the model may be identi ed.

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( Just to be clear, that second option after the dash is the letter that comes between k and m, not the integer that comes before 2.) I m sure I don t need to tell you to replace username and remoteMachineName with actual values for the remote computer. So I won t. When xterm asks for your password in order to log in, go ahead and provide it. 5. Type the name of an X11 application to run it. For example:

Please note that identi cation may still be possible if errors are correlated or if variables load on more than one factor, but it is more complicated The third step in establishing model identi ability is to examine the structural portion of the model, looking only at the relationships among the latent variables (factors) Ignore the measured variables for a moment; consider only the structural portion of the model that deals with the regression coef cients relating latent variables to one another If none of the latent DVs predict each other (the beta matrix is all zeros), the structural part of the model may be identi ed The Acceptance of Risky Behavior example has only one latent DV, so this part of the model may be identi ed.

Interestingly, the accompanying idiosyncratic labels described not only emotional experiences but also the multiple connotations of nonemotion components of the psychobiosocial states Similar findings based on self-generated metaphors and accompanying interpretative descriptors were obtained in studying a sample of top Spanish karate athletes (Ruiz & Hanin, 2004b) Because emotion, as a concept, remains largely undefined, it is not surprising that distinctions between emotions and nonemotions are sometimes not quite clear, especially in assessments For instance, an inspection of the 10 global affect scales described by Watson and Telle-.

Figure 15.14 Results of a mental control diagnosis. The athlete receives feedback as a mental profile, indicating both own test results and mean results for all athletes in the specific playing position. These results are from the German Volleyball National Team. Each subtest (e.g., SCAT, sport competition anxiety test) has a scale. Emotional or motivational conditions that are rather negative (e.g., anxiety) are displayed as negative trends ( below 0).

If the latent DVs do predict one another, look at the latent DVs in the model and ask whether they are recursive or nonrecursive If the latent DVs are recursive, there are no feedback loops among them and no correlated disturbances (errors) among them (In a feedback loop, DV1 predicts DV2 and DV2 predicts DV1; ie, there are two lines linking the factors, one with an arrow in one direction and the other with an arrow in the other direction Correlated disturbances are linked by single curved lines with double-headed arrows) If the structural part of the model is recursive, it may be identi able These rules apply also to path analysis models with only measured variables The Acceptance of Risky Behavior example is a recursive model and therefore may be identi ed.

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