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development. They present a systematic means for organizing the topic (see Figure 14.1). Their conceptualization is hierarchical in nature, with the most stable and internal component (i.e., personal core beliefs and values) providing the base for progressively more dynamic and external components moving toward the apex. The components are interdependent; however, greater influence is exerted by more fundamental levels. Although this conceptualization is in its infancy, it has potential to positively shape examination of this important topic and implications for the advancement of education, training, and practice in sport psychology. We encourage readers to ref lect on their own professional philosophies related to sport psychology in the process of entertaining our thoughts about clinical issues. THE NEED FOR A CLINICIAN S PERSPECTIVE Professional clinical practice can include circumstances that unexpectedly challenge the skills of the practitioner. Sport psychology is no exception. Consider the following scenarios: Upon arriving at the office, you receive a phone call from a despondent collegiate athlete with whom you have worked in the past. She is obviously distraught and recounts recent problems in her relationships with team-

5.2.1.1 Serial Schedule A serial schedule is one that contains transactions whose operations do not overlap in time. This means that at any point in time only one transaction is running in the system. This schedule is also known as a sequential schedule. The schedule S1 = R1(X), R1(Y), W1(X), R2(Y), W2(Y) is an example of a serial schedule. This schedule indicates that transaction T1 commits before T2 starts. We show this order as T1 T2, where the indicates commitment precedence. Figure 5.3 depicts an example of a serial schedule. 5.2.1.2 Parallel Schedule A parallel schedule is one that may contain transactions whose operations do overlap in time. This means that at any point in time there can be

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collected from convenience samples can be used, probabilistic statements, population generalizations of sample summary statistics, or statistical inferences may be rendered incorrect Because some psychologists work with sociologists and epidemiologists accustomed to using probabilistic sampling schemes, there are many excellent examples of survival analyses using data collected from representative samples (eg, Andrade, Eaton, & Chilcoat, 1996; Harris & Koepsell, 1996; Rosenbaum & Kandel, 1990) We hope this standard will persist as survival methods nd their way into other substantive areas A more problematic issue concerns the need to de ne carefully the target population from which the sample will be selected Subtle variations in population de nitions can inadvertently distort the distribution of time the very quantity of interest Consider the tempting strategy of eliminating censoring altogether by restricting the target population to only those individuals with known event times.

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Because women live longer than men, with a great majority of elderly women living alone, health education must create interventions and outreach programs that accommodate elderly women who serve as their own primary caretakers, as well as younger caretakers who may have a dif cult time leaving the house because of child care or household responsibilities In addressing this concern, the Centers of Excellence in Women s Health (CoE) have turned to the World Wide Web as a way to reach women The CoE have adopted online health information sites relevant to women patient support groups and is developing other plans to expand these Internet services (Crandall, Zitzelberger, Rosenberg, Winner, & Holaday, 2001) Because women continue to make the majority of the family health care decisions, the Internet serves as a convenient and informative way for women to access resources and acquire education related to women s health.

A simple example from the research literature on the duration of foster care arrangements illustrates the problems that can arise When studying discharge times for children in foster care, Milner (1987) de ned his target population as the 222 children in a state agency who were released from care between 1984 and 1985 (thus disregarding those who were not discharged) Among a random sample of 75 of these children, he found that 37% had entered care within 5 months of discharge, 29% had entered care within 6 to 11 months of discharge, 14% had entered care within 12 to 24 months of discharge, and the remaining 20% had entered care over 25 months before discharge The estimated median time to discharge in this sample was 6 to 11 months.

4. If the Windows Firewall is not available, then you need to install Service Pack 2. For information on how to update Windows in order to receive Service Pack 2, refer to 1.

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