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Primary Station A logical primary station is an entity that has primary link control responsibility It assumes responsibility for organization of data ow and for link level error recovery Frames issued by the primary station are called commands Secondary Station A logical secondary station operates under control of a primary station It has no direct responsibility for control of the link, but instead responds to primary station control Frames issued by a secondary station are called responses Combined Station A combined station combines the features of primary and secondary stations It may issue both commands and responses Unbalanced Con guration An unbalanced con guration consists of a primary station and one or more secondary stations It supports full-duplex and half-duplex operation, point-to-point, and multipoint circuits An unbalanced con guration is illustrated in Figure 1024a Balanced Con guration.

Martin, Lavallee, Kellmann, & Page, 2004) and also perpetuates dysfunctional self-perceptions and behaviors such as negative body image, hazing, substance abuse, homophobia, hyperconformity, identity foreclosure, burnout, and violence (eg, Brustad & Ritter-Taylor, 1997) Many issues faced by mental training consultants are rooted in problematic aspects of the social-cultural structure of society and sport, and mental training consultants must broaden their perspective to help athletes achieve significant personal development by understanding how the culture in which they live and perform directly influences their thoughts, feelings, and behaviors (This is discussed at the end of the chapter as an important future direction for mental skills training) The Mental Training Process The mental training process shown at the bottom of Figure 132 is a complex, multilayer, integrative approach to.

that the model would be underidentified if such constraints were not imposed A typical set of scaling constraints is that all the latent factor variances must be 10 When this scaling constraint is imposed, estimated relations among factors are expressed as factor correlations Alternatively, the researcher can choose to fix one otherwise freely estimated factor loading to a predetermined value (typically 10) for each factor in the model, thus establishing the associated item or measured variable as a reference variable and tying the metric of the latent factor to that variable For the independent clusters model, either of these scaling constraints is sufficient to guarantee that the model is identified (for further discussion, see Steiger, 2002) DATA AND ESTIMATION The estimation process is aimed at generating the best fit to the data given the constraints imposed by the a priori model.

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