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Unfortunately, only a handful of studies have used a longitudinal approach A strength of longitudinal studies lies in the ability to examine developmental processes in athletes as a consequence of the transition and to compare these processes with control groups For example, Grove et al (2004) investigated the athletic identity of female athletes vying for selection in state all-star teams Results showed a significant decrease in athletic identity of nonselected players and a stable identity of selected players over time Stephan, Bilard, Ninot, and Deligni res (2003a, 2003b) found a U-curve development of physical self and well-being in retired compared to nonretired athletes In the Stephan et al studies, retired athletes first reported a loss of well-being not found in still active athletes, but in the long run they could recover psychologically from retirement.

Major Empirical Findings on Career Termination As a consequence of changing theoretical perspectives on career termination, there resulted changes in empirical approaches Earlier studies regarded career termination as a critical, even devastating life event and consequently focused on problems and difficulties in adaptation to the postcareer (Ogilvie & Howe, 1986) Career termination is now regarded as an open-ended process that may result in a crisis or, more positively, in a chance for development and personal growth (Perna, Ahlgren, & Zaichkowsky, 1999; Perna, Zaichkowsky, & Bocknek, 1996) In their contribution to a former edition of this Handbook, Taylor and Ogilvie (2001a) emphasized that the consequence of career termination as a crisis or as a challenge depends on, among.

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paths. Using equation (4.7), the number of paths handled by each node in Ai can be written as ! 2 2N ri 1 1 1 2 2 ru rk ri2 ri 1

In the Default Gateway box, type the IP address of your wireless router. Figure 5-8 shows the Internet Properties box set to enable static IP addresses. For more information on nding the static IP address of your router, refer to 4. Click OK to save your changes.

If you have worked with the Spanning Tree algorithm for bridging or the Open Shortest Path First (OSPF) protocol for IP routing updates, you have already worked with a multicast algorithm. IP multicasting for subnet routing uses the following protocols: Distance Vector Multicast Routing Protocol (DVMRP) Multicast Open Shortest Path First (MOSPF) Protocol Independent Multicast (PIM) Sparse mode Dense mode There are essentially three forwarding algorithms that can be used with IP multicasting: Flooding Spanning Tree Simple Spanning Tree Reverse Path Broadcasting Reverse Path Multicasting (most widely implemented) Core-Based Trees (Used in sparse environments [environments that do not have a densely populated environment of hosts], CBT is a type of spanning tree algorithm but different enough to merit its own category). The purpose of all the algorithms is to build a multicast tree for the forwarding of multicast datagrams. Some algorithms (CBT and sometimes PIM-SM) build only one tree that all members of the group share, even if the tree does not supply the most efficient (shortest path) route between all members of the group. Other protocols build shortest path trees that allow for the shortest path for all members in the group (DVMRP,

(Continued) Term Collective efficacy Collective efficacy Item Stem Your confidence Your team s confidence Sample Item(s) Rate your confidence right now that your team can beat your upcoming opponent. Our team s confidence in our ability to handle the ball against defensive pressure is . . . Number of Items 7 Setting Field Conceptual Analysis Yes Number of Categories 11

In this situation the changed sales mix has resulted in an additional gross margin of $11.25, and, all other things being equal (labor and other direct costs), this will result in the same increase in operating income.

The RMSEA (Steiger, 2001; Steiger & Lind, 1980) estimates the lack of t in a model compared to a perfect or saturated model by estimated RMSEA = Ndf model , (24.8)

, 148, 153 Chavis, D, 435, 439, 445 Chein, I, 395, 484, 505 Cherlin, D L, 437, 448 Cherniss, C, 439, 445 Cherry, F, 185, 186, 198 Chesir-Teran, D, 448 Chesler, M, 438, 445, 448 Chesler, P, 256, 265 Chi, M T H, 148, 153, 475, 478 Chiarugi, V, 315, 334, 340 Chiesi, H L, 148, 153 Child, I, 210, 221 Chin, J, 259, 265, 491, 499 Ching, C C, 510, 511, 531 Chiszar, D A, 81 Chomsky, N, 125, 131, 432, 445.