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Here b1 is the linear effect of bene ts, b2 is the average linear effect of worry, and b3 represents the extent of curvature for worry. As is shown in Table 19.4, Panel B, bene ts has a statistically signi cant linear relationship with intention, and worry has a statistically signi cant quadratic relationship with intention. This example illustrates that testing a regression model with only linear terms does not address the potential existence of higher-order relationships between a predictor and the criterion variable. Hypothesis 4, that both bene ts and worry predict intention, is in fact supported, but the unique relationship between worry and intention is quadratic in form. We note the great exibility of MR in uniquely specifying the shape of the relationship of each variable to Y. Sets of Predictors: Increment in Prediction Hypothesis 6 The predictor variables fall into two distinct sets: (a) Set 1, consisting of medical variables of risk (RISK) and recommendation from a health professional (ANYREC), and (b) Set 2, consisting of psychological variables of perceived bene ts of screening (BENEFITS) and worry about breast cancer, now characterized by two uncentered predictors (WORRY and WORRY2). In testing the increment in prediction, centered and uncentered predictors will produce identical results. Hypothesis 6 predicts that Set 2 of psychological variables will account for variance in intention over and above Set 1 of medical variables; that is, even with level of medical risk and input from a health professional accounted for (partialed out, held constant), psychological factors will still play a role in whether women are screened. We use a hierarchical regression strategy in which the contribution of Set 2 of variables to an equation already containing

shown in slide 22. Each RFC is assigned a number in ascending sequence (newer RFCs have higher numbers, and they are never reassigned). Once issued, RFCs do not change. Revisions may be made to the RFCs, but revisions are issued as a new RFC. But do not throw out that old RFC. Some of the newer RFCs only replace part of the older RFC such as replacing an appendix or updating a function. They may also simply add something to the older RFC. This is indicated by an updated by: statement on the first page. If a new RFC completely replaces an RFC, the new RFC has Obsolete: RFC XXXX in the upper left corner of the RFC. The index of RFCs, indicated by the URL given earlier, contains the information about updates. The RFCs are continuing to evolve as the technology demands. This allows for the Internet to become the never ending story. For example, the wide area network connection facility known as the Frame Relay specification is becoming very popular, and there are RFCs to define how to interface TCP to the frame relay protocol. RFCs also allow refinements to enhance better interoperability. As long as the technology is changing, the RFCs must be updated to allow connection to the protocol suite. IPv6 is well documented with many RFCs. As of this writing, the IETF now has in excess of 75 working groups, each working on a different aspect of Internet engineering. Each of these working groups has a mailing list to discuss one or more draft documents under development. When consensus is reached on a draft, a document may be distributed as an RFC.

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Bliesze M, Hupp J Indoor navigation in DECT networks Proceedings of the International Symposium on Indoor Localisation and Position Finding; InLoc2002; Bonn, Germany; July 2002 Eissfeller B, Gansch D, Muller S, Teuber A Indoor positioning using wireless LAN radio signals In: ION GNSS 17th International Technical Meeting of the Satellite Division: Proceedings; September 21 24, 2004, Long Beach (CA) Fontana RJ Recent system applications of short-pulse ultra-wideband (UWB) technology IEEE Trans Microwave Theory Tech 2004;52(9, Pt 1):2087 2104 Fontana RJ, Gunderson SJ Ultra-wideband precision asset location system In: IEEE Conference on UWB Systems and Technologies: Proceedings; May 2002 Frazer E Indoor positioning using ultrawideband techniques analysis and experimental results 11th IAIN World Congress, October 2003, Berlin, Germany Gezici S, Tian Z, Giannakis GB, Kobayashi H, Molisch AF, Poor HV, Sahinoglu Z Localization via ultra-wideband radios: a look at positioning aspects of future sensor networks.

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S = {S1 , S2 , . . . , S2nR0 } of W = {1, 2, . . . , 2nR }

and functions of idiosyncratic affective experiences of each performer in various competitive situations. More specifically, it emphasizes the within-individual dynamics of perceived states based on varied degrees of performance quality. Therefore, the unit of analysis is the individual in relation to his or her personal performance. The IAPZs are usually determined using the affect grid (Russell, Weiss, & Mendelsohn, 1989). The affect grid is a 9 9 grid. The vertical dimension represents arousal and ranges from a score of 1 (very low arousal, i.e., feeling sleepy ) to 9 (very high arousal, or frantic excitement ). The horizontal dimension represents pleasantness and ranges from a score of 1 ( very unpleasant, negative feelings ) to 9 ( very pleasant, positive feelings ). Participants place a single X point in one of the 81 cubicles of the grid, and the response is scored along both the valence and the arousal dimensions. The two affect dimensions, arousal (activation) and pleasantness, which are operationalized by a single continuum each, allow for establishing IAPZ for each performer if a sufficient number of affect observa-

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