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simple use of a scatter plot matrix revealed three consistent outliers in distributions of variables measured in dollars. The rst outlier was the observation associated with the District of Columbia. How should this extreme value be approached If the original intention was state-level analysis, the outlier in the data simply calls attention to the fact that the data were not prescreened for non-states. Here the decision is easy: Reestablish the scope of the project to focus on state-level data. The remaining two outliers were observations associated with the states of Hawaii and Alaska. These two states had values that were up to four times higher than the next highest values from the set of all states. In many cases, the mean of the data when all 50 states were included was markedly different from the mean computed using values from only the contiguous 48 states. What should the data analyst do about this problem Here again, the appropriate role of the exploratory work has led to a scope-clari cation process that many data analysts encounter in the basic question Do I model all the data poorly, or do I model a speci c subset that I can

In Sections 13.3 and 13.4 we have introduced the main media and basic estimation algorithms used in current location estimation systems. In this section, we describe in detail some representative systems that have different combinations of these technologies and therefore are suitable for different usage scenarios. These systems are broadly divided into two categories: indoor systems and outdoor systems. At the end of the section, the work of Open GIS (geographic information system) Consortium (OGC) is introduced brie y. This work is considered as part of the location format transformation component shown in Figure 13.1 that handles the information transformation between different location formats. 13.5.1 Indoor Location Estimation Systems

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opening the window onto movement models from sports and exemplifying why they have gained such rapid popularity in recent years In the following section, we explore in greater depth the implications of Brunswikian notions of representative task design for the constraints-based rationale for studying decision making and action TASK REPRESENTATIVENESS AND A CONSTRAINTS-BASED FRAMEWORK Brunswikian (Brunswik, 1956; Hammond & Stewart, 2001) ecological psychology is predicated on key concepts of representative design (sometimes confused with Brunswik s concept of ecological validity; see Ara jo et al, 2005, for clarifications) and intra-ecological correlation Intra-ecological correlation refers to the close relationship between cues in the environment so that one or more may provide the same informational support to the actor (for an alternative explanation, see Savelsbergh & van der Kamp, 2000).

Representativeness is a key feature that refers to the generalization of task constraints in a specific research context to constraints on behavior outside the experimental setting Brunswik argued that psychological processes were essentially adaptive processes Consequently, he noted that there needs to be congruence between the conditions of an experimental setting designed for the study of a particular feature of behavior and the environmental conditions within which that behavior is functionally implemented To study how psychological processes help adapt behavior to dynamic environments, the basic principle of task representativeness is predicated on accurate sampling of environmental conditions for behavioral experiments Brunswik s ideas suggest that, to be representative, ecological constraints of a to-bestudied behavior also need to interact, as they do in many contexts of performance He labeled this feature of experimental design ecological intercorrelation.

Leicester, H M, 310, 335, 462 Leigh, H, 336, 454, 462 Leith, N J, 45 Lemery, C R, 167, 173 Lemkau, P, 435, 441, 447, 449 Lemke, S, 438, 447 Lentz, R J, 350, 354 Leonard, W E, 37, 73, 75, 168, 186, 200, 210, 443 Leong, F, 546, 553 Lerman, H, 258, 266 Lerner, H G, 258, 266 Lerner, R M, 208, 213, 220 Leroy, H A, 68, 75, 83 Leshner, A I, 173 Lettvin, J Y, 51, 64 Levenson, D, 453, 455, 462 Leventhal, E A, 275, 276 Leventhal, H, 275, 276 Levi, L, 163, 165, 173, 174 Levi-Montalcini, R, 163, 174 Levin, H, 210, 221 Levin, I, 246 Levin, J M, 216, 220 Levin, J R.

His ideas on sampling environmental conditions preempted the popularization of the current strategy of focusing on the interacting organismic, task, and environmental constraints on the participant in psychology experiments (eg, Ara jo et al, 2004, 2005) The more extensive the sampling of constraints, the more representative is experimental task design, according to Brunswikian ideas The critical role of task constraints, as explained in our discussion of experiments showing how haptic information sources interacted with flexion /extension phases of finger movements, exemplifies the significance of the principle of ecological intercorrelation in task representativeness..

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